{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reset -f\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import os, glob\n",
    "from os import listdir\n",
    "from os.path import isfile, join\n",
    "\n",
    "from scipy.optimize import curve_fit\n",
    "from scipy.integrate import odeint\n",
    "from scipy.integrate import quad\n",
    "from scipy.optimize import fsolve\n",
    "\n",
    "from latticeFactor import*\n",
    "import matplotlib.ticker as tck"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "C:\\Users\\SonHyungmok\\Dropbox (MIT)\\BEC3-PAPERS\\NaLi-Na Feshbach resonance\\data\\lifetime_comparison\\for paper\n",
      "two body loss rate = 1.29932484186 (1/sec)\n",
      "for 976G, loss rate = 80.7578151938 (1/sec)\n",
      "for 999G, loss rate = 1.94984465134 (1/sec)\n"
     ]
    }
   ],
   "source": [
    "import sys\n",
    "working_dir = os.getcwd()\n",
    "newdir = join(working_dir, 'lifetime_comparison')\n",
    "sys.path.append(newdir)\n",
    "# import lifetime_comparison\n",
    "# import generate_data2\n",
    "from generate_data2 import*\n",
    "\n",
    "working_dir = os.getcwd()\n",
    "fullpath_lifetimecurve = join(join(working_dir, 'lifetime_comparison'), 'for paper')\n",
    "lclc = lc()\n",
    "[tt, fit_list, time_list, data_list, err_list, label_list, na_packed] = lclc.calc2(fullpath_lifetimecurve)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "additive C6 between NaLi and NaLi = 5879.0 \n",
      "         C6 between NaLi and NaLi = 3709.0 \n",
      "\n",
      "additive a_bar between NaLi and NaLi = 3.37013955364 nm\n",
      "         a_bar between NaLi and NaLi = 3.00355942047 nm\n",
      "\n",
      "additive C6 between Na and NaLi = 3023.0 \n",
      "         C6 between Na and NaLi = 2364.0 \n",
      "\n",
      "additive a_bar between Na and NaLi = 2.76770742374 nm\n",
      "         a_bar between Na and NaLi = 2.60269039827 nm\n",
      "\n",
      "Timur's new calc a_bar between Na and NaLi = 2.97323395901 nm\n",
      "\n",
      "univ loss rate (isotropic C6 additive) = 1.72137545792e-10 cm^3/s\n",
      "univ loss rate (isotropic C6 for singlet) = 1.61874312932e-10 cm^3/s\n",
      "univ loss rate (Timur's new calc for triplet) = 1.84920267359e-10 cm^3/s\n",
      "\n",
      "a_bar = 56.0987539436 a_bohr\n",
      "\n",
      "van der waals length = 6.22016773887 nm\n",
      "van der waals temperature = 488.769224265 uk\n",
      "\n",
      "trap length for Na = [1161.7285931   974.06890467   98.25948345] nm\n",
      "trap length for NaLi = [847.51546219 710.61215403  71.68320727] nm\n",
      "\n",
      "\n",
      "oscillator length = [1394.13689822 1168.9351622   117.91667373] nm\n",
      "\n",
      "\n",
      "mean wavevector = 0.0102156707157 1/nm\n",
      "\n",
      "\n",
      "MEAN collision energy at 1.55uK = 2.325 uK from <k^2>\n",
      "Na axial trap frequency energy = 2.18465942029 uK\n",
      "gamma ratio = 0.758348966068\n",
      "\n",
      "de broglie wavelength = 391.555298845 nm\n",
      "\n",
      "\n",
      " p-wave barrier = 532.104533967 uK\n",
      "\n",
      "\n",
      "2D overlap denisty (cm^-2) is x 1.97983594273e-05 times 3D overlap density (cm^-3)\n",
      "\n",
      "\n",
      "\n",
      "system_factor = 1.0\n",
      "this is my y..\n",
      "\n",
      "systematic_error = 1.0\n",
      "systematic_error bounds to 1 and 1.0\n",
      "systematic_error uncertainty = 0.0\n",
      "systematic_error uncertainty / systematic_error = 0.0 %\n",
      "\n",
      "num panckes for molecules = 809.882824875\n",
      "7.2997977907\n",
      "20.439433814\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "(1.568027192319382e-12, 1.568027192319382e-12)\n",
      "\n",
      "anharmonic_correction_na = 0.498\n",
      "anharmonic_correction = 0.224719101124\n",
      "anharmonic_correction_mol = 0.749\n"
     ]
    }
   ],
   "source": [
    "h = 6.626e-34\n",
    "h_bar = h/(2*np.pi)\n",
    "kb = 1.38e-23\n",
    "m_na = 23e-3/(6.02e23)\n",
    "m_mol = 29e-3/(6.02e23)\n",
    "mu = (29.*23)/(23. + 29.) * 1e-3/(6.02e23)\n",
    "mu_mol = 29/2. *1e-3 * (6.02e23)**-1\n",
    "\n",
    "num_factor = 0.477999\n",
    "a_bohr = 5.3e-11\n",
    "hartree = (2.6355 * 10**6)/(6.02*10**23) ## in joule\n",
    "\n",
    "C_6_NaLi = 1467. * (a_bohr**6 * hartree)\n",
    "C_6_NaNa = 1556. * (a_bohr**6 * hartree)\n",
    "C_6_LiLi = 1389. * (a_bohr**6 * hartree)\n",
    "C_6_mol_add = 2. * C_6_NaLi + C_6_NaNa + C_6_LiLi\n",
    "a_bar_mol_add = num_factor * (2. * mu_mol * C_6_mol_add/h_bar**2)**(1./4.)\n",
    "\n",
    "C_6_mol = 3709. * (a_bohr**6 * hartree) ## NaLi - NaLi \"in singlet potential\"\n",
    "a_bar_mol = num_factor * (2. * mu_mol * C_6_mol/h_bar**2)**(1./4.)\n",
    "print(\"additive C6 between NaLi and NaLi = {} \".format(C_6_mol_add/(a_bohr**6 * hartree)))\n",
    "print(\"         C6 between NaLi and NaLi = {} \".format(C_6_mol/(a_bohr**6 * hartree)))\n",
    "print(\"\")\n",
    "print(\"additive a_bar between NaLi and NaLi = {} nm\".format(a_bar_mol_add *1e9))\n",
    "print(\"         a_bar between NaLi and NaLi = {} nm\".format(a_bar_mol *1e9))\n",
    "print(\"\")\n",
    "\n",
    "C_6 = 2364. * (a_bohr**6 * hartree) ## NaLi - Na \"in singlet potential\"\n",
    "a_bar = num_factor * (2. * mu * C_6/h_bar**2)**(1./4.)\n",
    "\n",
    "C_6_add = C_6_NaNa + C_6_NaLi\n",
    "a_bar_add = num_factor * (2. * mu * C_6_add/h_bar**2)**(1./4.)\n",
    "print(\"additive C6 between Na and NaLi = {} \".format(C_6_add/(a_bohr**6 * hartree)))\n",
    "print(\"         C6 between Na and NaLi = {} \".format(C_6/(a_bohr**6 * hartree)))\n",
    "print(\"\")\n",
    "print(\"additive a_bar between Na and NaLi = {} nm\".format(a_bar_add *1e9))\n",
    "print(\"         a_bar between Na and NaLi = {} nm\".format(a_bar *1e9))\n",
    "print(\"\")\n",
    "\n",
    "C_6_new = 4026.  * (a_bohr**6 * hartree) \n",
    "a_bar_new = num_factor * (2. * mu * C_6_new/h_bar**2)**(1./4.)\n",
    "print(\"Timur's new calc a_bar between Na and NaLi = {} nm\".format(a_bar_new *1e9))\n",
    "print(\"\")\n",
    "\n",
    "univLossRate_isotropic_add = 2. * h/mu * a_bar_add *1e6\n",
    "univLossRate_isotropic_singlet = 2. * h/mu * a_bar *1e6\n",
    "univLossRate_isotropic_new = 2. * h/mu * a_bar_new *1e6\n",
    "\n",
    "print(\"univ loss rate (isotropic C6 additive) = {} cm^3/s\".format(univLossRate_isotropic_add))\n",
    "print(\"univ loss rate (isotropic C6 for singlet) = {} cm^3/s\".format(univLossRate_isotropic_singlet))\n",
    "print(\"univ loss rate (Timur's new calc for triplet) = {} cm^3/s\".format(univLossRate_isotropic_new))\n",
    "print(\"\")\n",
    "\n",
    "\n",
    "##############################\n",
    "a_bar = a_bar_add\n",
    "\n",
    "\n",
    "a_bar = a_bar_new\n",
    "\n",
    "\n",
    "a_bar_mol = a_bar_mol_add\n",
    "#############################\n",
    "print(\"a_bar = {} a_bohr\".format(a_bar/a_bohr))\n",
    "print(\"\")\n",
    "r6 = (2 *mu * C_6_new/h_bar**2)**(1/4.)\n",
    "T_vdw = h_bar**2/(2 * mu * r6**2) * kb**-1 * 1e6\n",
    "print(\"van der waals length = {} nm\".format(r6*1e9))\n",
    "print(\"van der waals temperature = {} uk\".format(T_vdw))\n",
    "print(\"\")\n",
    "polarizability_ratio = 2.8\n",
    "omega_na = 2*np.pi * np.array([651, 926, 91000])/2\n",
    "omega_mol = omega_na * np.sqrt(polarizability_ratio * m_na/m_mol)\n",
    "length_trap_na = np.sqrt(h_bar/(m_na * omega_na))\n",
    "length_trap_mol = np.sqrt(h_bar/(m_mol * omega_mol))\n",
    "print(\"trap length for Na = {} nm\".format(length_trap_na * 1e9))\n",
    "print(\"trap length for NaLi = {} nm\".format(length_trap_mol * 1e9))\n",
    "print(\"\")\n",
    "# length_trap_red = np.sqrt(h_bar/(mu * np.sqrt(omega_mol * omega_na)))\n",
    "# print(\"trap length_reduced = {} nm\".format(length_trap_red * 1e9))\n",
    "\n",
    "oscillator_length = np.sqrt(h_bar/(mu * (omega_na + omega_mol)/2))\n",
    "print(\"\")\n",
    "print(\"oscillator length = {} nm\".format(oscillator_length*1e9))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "\n",
    "vrel = np.sqrt(8.*kb/np.pi * (1.55e-6/m_na + 1.55e-6/m_mol))\n",
    "kk = mu * vrel/h_bar\n",
    "ffactor = 4/np.pi\n",
    "oneOverkrel = 1/kk * ffactor\n",
    "print(\"mean wavevector = {} 1/nm\".format(kk*1e-9))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "\n",
    "E_collision = (h_bar * kk)**2/(2 * mu)/kb * 1e6\n",
    "\n",
    "vrel_sq = 3*kb * (1.55e-6/m_na + 1.55e-6/m_mol)\n",
    "Erel_from_vrel_sq = 0.5 * mu * vrel_sq/kb * 1e6\n",
    "# kk_sq = (mu/h_bar)**2 * vrel_sq\n",
    "# energy_length = 2*np.pi/np.sqrt(kk_sq)\n",
    "\n",
    "E_ax = h_bar * omega_na[-1]/kb * 1e6\n",
    "gamma_ratio = np.sqrt(2*E_collision/(np.pi * E_ax))\n",
    "print(\"MEAN collision energy at 1.55uK = {} uK from <k^2>\".format(Erel_from_vrel_sq))\n",
    "print(\"Na axial trap frequency energy = {} uK\".format(E_ax))\n",
    "print(\"gamma ratio = {}\".format(gamma_ratio))\n",
    "print(\"\")\n",
    "debroglie_lambda_temp = np.sqrt((2 * np.pi * h_bar**2)/(mu**2 * (1./m_na + 1./m_mol) * kb * 1.55e-6))\n",
    "print(\"de broglie wavelength = {} nm\".format(debroglie_lambda_temp*1e9))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "E1 = np.sqrt(4.*h_bar**6/(27. * mu**3 * C_6_new))/kb\n",
    "print(\" p-wave barrier = {} uK\".format(E1 * 1e6))\n",
    "print(\"\")\n",
    "# print(\"length scale with sqrt(<k^2>) = {} nm\".format(energy_length * 1e9))\n",
    "#################################################################################\n",
    "## Universal Rates for Reactive Ultracold Polar Molecules in Reduced Dimensions\n",
    "##\n",
    "## gamma * (sigma_inel)/(sigma_el)_3D = (sigma_inel)/(sigma_el)_2D\n",
    "#################################################################################\n",
    "\n",
    "\n",
    "T_temp2 = 1.55e-6\n",
    "## (2D overlap density) = R_ax * (3D overlap density), where R_ax is the thermal radius in the axial direction\n",
    "R_ax = np.sqrt(omega_na[-1] * omega_mol[-1])**(-1) * ((2*np.pi * kb * T_temp2/m_na) * (1 + 1/polarizability_ratio * 1))**(0.5)\n",
    "print(\"\")\n",
    "print(\"2D overlap denisty (cm^-2) is x {} times 3D overlap density (cm^-3)\".format(R_ax*1e2))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "\n",
    "def molUnivLossCoeff(temp, temp_sig):\n",
    "    beta = (1513. * a_bar_mol**3 * kb * temp/h) ## in m^3/s\n",
    "    sig_beta = beta * temp_sig/temp\n",
    "    \n",
    "    correct_factor = 1.3\n",
    "\n",
    "    prefactor = beta/temp\n",
    "    print(\"the p-wave molecular loss rate constant = ({} +/- {}) x T (cm^3/s)\".format(prefactor * 1e6, prefactor*0.26 * 1e6))\n",
    "    return beta* correct_factor, sig_beta* correct_factor\n",
    "\n",
    "#######################################################\n",
    "\n",
    "\n",
    "###################################################################################################### while writing thesis\n",
    "systematic_factor = 1.\n",
    "anharmonic_correction_na = 0.498\n",
    "\n",
    "\n",
    "print(\"\")\n",
    "print(\"system_factor = {}\".format(systematic_factor))\n",
    "print(\"this is my y..\")\n",
    "print(\"\")\n",
    "\n",
    "systematic_error = (systematic_factor + 1.)/(2. * systematic_factor)\n",
    "print(\"systematic_error = {}\".format(systematic_error))\n",
    "print(\"systematic_error bounds to {} and {}\".format(1, 1/systematic_factor))\n",
    "\n",
    "## this is same as (1 - 1/y)/2 or (1 - systematic_error)\n",
    "systematic_error_sig = (systematic_factor-1)/(systematic_factor+1) * systematic_error \n",
    "print(\"systematic_error uncertainty = {}\".format(systematic_error_sig))\n",
    "print(\"systematic_error uncertainty / systematic_error = {} %\".format(systematic_error_sig*100))\n",
    "print(\"\")\n",
    "\n",
    "\n",
    "########################################\n",
    "\n",
    "systematic_error = 1.\n",
    "systematic_error_sig = (systematic_factor-1)/(systematic_factor+1) * systematic_error \n",
    "\n",
    "########################################\n",
    "\n",
    "\n",
    "###################################################################################################### \n",
    "num_pancakes_mol = 405 * np.sqrt(8/np.pi)/(1596/2 * 1e-3)\n",
    "print(\"num panckes for molecules = {}\".format(num_pancakes_mol))\n",
    "num_pancakes_mol_sig = 0.06 * num_pancakes_mol \n",
    "\n",
    "anharmonic_correction_mol = 0.749\n",
    "anharmonic_correction_mol_sig = 0.06 * anharmonic_correction_mol\n",
    "\n",
    "polar_correct_mol = 0.90\n",
    "\n",
    "polarizability_ratio = 2.8\n",
    "polarizability_ratio_sig = 0.4 ## 0.4/2.8*100 = 14%\n",
    "\n",
    "geometric_omega_na = np.prod(2*np.pi * np.array([651, 926, 91000])/2)**(1./3)\n",
    "geometric_omega_mol = np.sqrt(23/29. * polarizability_ratio) * geometric_omega_na\n",
    "\n",
    "U_na = (23e-3/6.02e23) * 0.5 * (2 * np.pi * 91000/2.)**2 * (2*np.pi/1596e-9)**-2 *kb**-1 * 1e6\n",
    "print(U_na)\n",
    "U_mol = polarizability_ratio * U_na\n",
    "print(U_mol)\n",
    "\n",
    "beta, beta_sig = molUnivLossCoeff(1,1)\n",
    "print(beta, beta_sig)\n",
    "\n",
    "######################################################################################################\n",
    "######################################################################################################\n",
    "######################################################################################################\n",
    "######################################################################################################\n",
    "######################################################################################################\n",
    "######################################################################################################\n",
    "number_per_pancake_correct = 1.\n",
    "\n",
    "anharmonic_correction = 1./4.45 * number_per_pancake_correct ## (980 or 745G) from the deviation of the loss rate for state 1 + NaLi loss rate from the universal limit\n",
    "anharmonic_correction_sig = 0.* anharmonic_correction ## the uncertainty from this anharmonic_correction is rather systematic\n",
    "\n",
    "systematic_error = 1.\n",
    "systematic_error_sig = 0.33\n",
    "\n",
    "print(\"\")\n",
    "print(\"anharmonic_correction_na = {}\".format(anharmonic_correction_na))\n",
    "print(\"anharmonic_correction = {}\".format(anharmonic_correction))\n",
    "print(\"anharmonic_correction_mol = {}\".format(anharmonic_correction_mol))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sigma of the overlap density = 34.194328149 %\n"
     ]
    }
   ],
   "source": [
    "## n_ov_err calculation based on error propagation\n",
    "sigma_n_ov_corect = 0.3 ## the uncertainty for 1/4.66 from the state 1 loss rate\n",
    "sigma_pol_ratio = 0.4/2.8\n",
    "sigma_temp_ratio = np.sqrt(2) * .08\n",
    "\n",
    "temp_ratio = 1.85/1.51\n",
    "temp_ratio = 1.\n",
    "\n",
    "sigma_n_ov = np.sqrt(sigma_n_ov_corect**2 + (1.5 * temp_ratio * sigma_pol_ratio/(1 + polarizability_ratio**-1 * temp_ratio))**2 + (1.5 * polarizability_ratio**-1 * sigma_temp_ratio/(1 + polarizability_ratio**-1 * temp_ratio))**2)\n",
    "\n",
    "print(\"sigma of the overlap density = {} %\".format(sigma_n_ov*100))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Tna = 1.45e-6\n",
    "# Tmol = 1.8e-6\n",
    "color_list = ['r', 'k', 'b', 'darkgreen']\n",
    "color_list = ['red', 'darkorange', 'black', 'blue', 'purple', 'brown', 'magenta', 'lime']\n",
    "qq = 0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "def a_bg_analytic(delta, q, y):\n",
    "    return (y*(2-q) + 1j*q)/(1j + y*(1-q))\n",
    "\n",
    "def a_res_analytic(delta, q, y):\n",
    "    return 2./gamma_analytic(delta, q, y) * -(y**2 - 1)*q*delta/(1j + y*(1-q))**2\n",
    "\n",
    "def a_res_analytic_gamma(delta, q, y, gamma):\n",
    "    return 2./gamma * (1 - y**2)*q*delta/(1j + y*(1-q))**2\n",
    "\n",
    "def gamma_analytic(delta, q, y):\n",
    "    return (2*q*y*delta)/(1 + y**2 *(1-q)**2)\n",
    "\n",
    "def B_shift_analytic(delta, q, y):\n",
    "    return q*y**2 *delta * (q-1)/(1 + y**2 * (1-q)**2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [],
   "source": [
    "def gaussian(x, amp, center, sig, offset):\n",
    "    return amp *np.exp(-(x - center)**2/(2 * sig**2)) + offset\n",
    "\n",
    "def lorentzian(x, amp, center, gamma, offset):\n",
    "    return amp * gamma/((x - center)**2 + (gamma/2.)**2) + offset\n",
    "\n",
    "def lorentzian_slope(x, amp, center, gamma, offset, slope):\n",
    "    out = amp * gamma/((x - center)**2 + (gamma/2.)**2) + offset + slope*x\n",
    "    out[out < 0] = 0.\n",
    "    return out\n",
    "\n",
    "def complex_a_PJ(B, B0, delta, y, q):\n",
    "    s = q * (1. - delta/(B - B0))\n",
    "    a_complex = a_bar * (s + y * (1 + (1-s)**2)/(1j + y * (1-s)))\n",
    "    return a_complex\n",
    "\n",
    "def complex_a_PJ_gamma(B, B0, delta, y, q, gamma):\n",
    "    s = q * (1. - delta/(B - B0 - 1j *np.sign(q) * np.sign(delta) * gamma/2.))\n",
    "    a_complex = a_bar * (s + y * (1 + (1-s)**2)/(1j + y * (1-s)))\n",
    "    return a_complex\n",
    "\n",
    "def complex_a_JH(B, B0, a_bg, a_res, gamma):\n",
    "    a_complex = a_bg + a_res/(2*(B-B0)/gamma - 1j)\n",
    "    return a_complex\n",
    "\n",
    "##########################################\n",
    "\n",
    "def twobody(t, initnum, gamma2):\n",
    "    return initnum/(gamma2 * t + 1)\n",
    "\n",
    "def onebody(t, amp, gamma):\n",
    "    return amp * np.exp(-gamma*t)\n",
    "\n",
    "def onebodyoffset(t, amp, gamma, offset):\n",
    "    return amp * np.exp(-gamma*t) + offset\n",
    "\n",
    "def fullModel(n, t, gamma1, gamma2):\n",
    "    return -gamma1 * n - gamma2 * n**2\n",
    "\n",
    "def fullModel_NaExp(n, t, gamma1, gamma2, Na0, NaExpGamma):\n",
    "    return -gamma1 * Na0 * np.exp(-NaExpGamma * t) * n - gamma2 * n**2\n",
    "\n",
    "def fullModel_NaPA(n, t, gamma1, gamma2, init_num_ratio, init_num_diff):\n",
    "    def func_pa_na_fix(t, gamma):\n",
    "        C = init_num_ratio\n",
    "        D = init_num_diff\n",
    "        return -D/(C**-1 * np.exp(-D*gamma*t) - 1)\n",
    "    return -gamma1 * func_pa_na_fix(t, gamma1) * n - gamma2 * n**2\n",
    "\n",
    "#####################################################################################\n",
    "\n",
    "def correlation_coeff(cov_mat):\n",
    "    err_mat = np.sqrt(np.diag(cov_mat))\n",
    "    mat = np.zeros(cov_mat.shape)\n",
    "    \n",
    "    for i in range(cov_mat.shape[0]):\n",
    "        for j in range(cov_mat.shape[0]):\n",
    "#             if i == j:\n",
    "#                 mat[i][j] = err_mat[i]\n",
    "#                 continue\n",
    "                \n",
    "            mat[i][j] = cov_mat[i][j]/(err_mat[i]*err_mat[j])\n",
    "    return mat \n",
    "\n",
    "from scipy.special import factorial\n",
    "from scipy.special import factorial2\n",
    "def w_full(x, N=100):\n",
    "#     N = 100;\n",
    "    temp = 0\n",
    "    epsilon = 1e-10\n",
    "    for j in range(N):\n",
    "        temp += factorial2(2*j-1)/factorial2(2*j) * np.log(j - x - 1j * epsilon)\n",
    "#         temp += factorial(j-1/2.)/factorial(j) * 2**-0.5 * np.log(j - x - 1j * epsilon)\n",
    "        \n",
    "    return 2. * np.sqrt(N/np.pi) * np.log(N/np.exp(2)) - temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "from scipy import integrate\n",
    "from scipy.integrate import quad\n",
    "\n",
    "class PJfit():\n",
    "    ## this is PJ parametrization\n",
    "    def __init__(self):\n",
    "        self.Bres = -1.\n",
    "        self.delta = -1.\n",
    "        self.q = -1\n",
    "        self.y = -1\n",
    "        self.norm = 1.\n",
    "        self.abar = 1.\n",
    "                \n",
    "        self.Bres_err = 1.\n",
    "        self.delta_err = 1.\n",
    "        self.q_err = 1\n",
    "        self.y_err = 1\n",
    "        self.norm_err = 1.\n",
    "        self.abar_err = 1.\n",
    "        \n",
    "        self.gamma = 1.\n",
    "        self.gamma_err = 1.\n",
    "        \n",
    "        self.kappa = 1.\n",
    "        self.kappa_err = 1.\n",
    "        \n",
    "        self.slope = 1.\n",
    "        self.Bres2 = 0.\n",
    "        \n",
    "        self.Tna = 1.\n",
    "        self.Tmol = 1.\n",
    "        \n",
    "        self.funcToFit = self.cfunction_norm\n",
    "        \n",
    "        self.init_cond = [self.Bres, self.delta, self.q, self.y]\n",
    "        self.bounds = ((-np.inf, -np.inf, -np.inf, -np.inf),(np.inf, np.inf, np.inf, np.inf))\n",
    "        self.method = 'trf'\n",
    "#         self.flg  = 'nothing'\n",
    "        self.flg  = 'norm_3dcorr'\n",
    "            \n",
    "        self.Tna = 1.\n",
    "        self.Tmol = 1.\n",
    "        self.mu = 23. * 29./(29 + 23.) * 1e-3/(6.02e23)\n",
    "        self.a_bar = a_bar\n",
    "        \n",
    "        self.del_mu = 4.* 1.4e6 * 6.63e-34\n",
    "        \n",
    "        self.n_limit = 1.\n",
    "        self.axialflg = False\n",
    "        self.which = 'rel'\n",
    "\n",
    "        self.flg_cfunction_saturation = False\n",
    "\n",
    "    def setFitFunc(self, flg):\n",
    "        self.flg = flg\n",
    "        try:\n",
    "            if flg == 'cfunction_norm':\n",
    "                self.funcToFit = self.cfunction_norm\n",
    "            elif flg == 'beta_norm':\n",
    "                self.funcToFit = self.beta_norm\n",
    "            elif flg == 'beta_delta_gamma_slope':\n",
    "                self.funcToFit = self.beta_delta_gamma_slope\n",
    "            elif flg == 'zero_temp_const_norm':\n",
    "                self.funcToFit = self.zero_temp_const_norm\n",
    "            elif flg == 'zero_temp_const_norm_gamma':\n",
    "                self.funcToFit = self.zero_temp_const_norm_gamma\n",
    "            elif flg == 'zero_temp_const_norm_gamma_slope':\n",
    "                self.funcToFit = self.zero_temp_const_norm_gamma_slope\n",
    "\n",
    "            elif flg == 'delta_gamma_only_slope_3dcorr':\n",
    "                self.funcToFit = self.imag_a_delta_gamma_only_slope_3dcorr\n",
    "            elif flg == 'norm_3dcorr':\n",
    "                self.funcToFit = self.imag_a_norm_3dcorr\n",
    "            elif flg == 'norm_gamma_3dcorr':\n",
    "                self.funcToFit = self.imag_a_norm_gamma_3dcorr\n",
    "            elif flg == 'gamma_3dcorr_norm_fixed':\n",
    "                self.funcToFit = self.imag_a_gamma_3dcorr_norm_fixed\n",
    "            elif flg == 'norm_3dcorr_gamma_fixed':\n",
    "                self.funcToFit = self.imag_a_norm_3dcorr_gamma_fixed\n",
    "            elif flg == 'norm_3dcorr_thavg':\n",
    "                self.funcToFit = self.imag_a_norm_3dcorr_thavg\n",
    "            elif flg == 'norm_3d_keff_2dsat':\n",
    "                self.funcToFit = self.imag_a_norm_3d_keff_2dsat\n",
    "            elif flg == 'norm_3d_keff':\n",
    "                self.funcToFit = self.imag_a_norm_3d_keff\n",
    "            elif flg == 'norm_3d_keff_thavg':\n",
    "                self.funcToFit = self.imag_a_norm_3d_keff_thavg\n",
    "\n",
    "            else:\n",
    "                raise Exception(\"\")\n",
    "        except:\n",
    "            print(\" NO AVAILABLE FUNCTION TO FIT \")\n",
    "            print(\" NO AVAILABLE FUNCTION TO FIT \")\n",
    "            print(\" NO AVAILABLE FUNCTION TO FIT \")\n",
    "        print(\" set fit func... \")\n",
    "        return 0\n",
    "    \n",
    "    def funcToFit(self):\n",
    "        return self.funcToFit\n",
    "\n",
    "    def cfunction_norm(self, B, B0, delta, q, y, norm):\n",
    "        omega_na = 2*np.pi * 45. * 1e3\n",
    "        omega_mol = 2*np.pi * 67. * 1e3\n",
    "        omega = self.mu * (omega_mol/m_mol + omega_na/m_na)\n",
    "        \n",
    "        loo = np.sqrt(h_bar/(self.mu * omega))\n",
    "        T_rel = mu * (self.Tna/m_na + self.Tmol/m_mol)\n",
    "        kbT = kb * T_rel\n",
    "        \n",
    "        k_3d_momentum = np.sqrt(2.*self.mu/h_bar**2 *(kb * T_rel + 0.25 * h_bar * omega))\n",
    "    \n",
    "        k = k_3d_momentum\n",
    "        r1 = 1. - 2. * k * a_bar\n",
    "       \n",
    "        \n",
    "        if self.flg_cfunction_saturation is True:\n",
    "            epsilon = kbT ## freeze the axial direction to the ground state\n",
    "            args = epsilon/(2.*h_bar*omega)\n",
    "            BB = 0.9049\n",
    "            BB = 0.915\n",
    "\n",
    "            w = lambda e: np.log(BB/(2.*np.pi) * e**-1)\n",
    "\n",
    "            def beta_times_etasq(B):\n",
    "                s = q * (1. - delta/(B-B0))\n",
    "                phi = 2. * np.arctan(1./(s - 1.))\n",
    "                C = 4.*y/((1.+y)**2 +(1.-y)**2 * r1**2 - 2.*r1*(1.-y)*(1.+y) * np.cos(phi)) * a_bar  \n",
    "                \n",
    "                a_3d = a_bar * (s * (1j - y) + 2*y)/(y*(1. - s) + 1j)\n",
    "\n",
    "                beta = C\n",
    "                moment = np.sqrt(np.pi)/loo\n",
    "                eta_bar = (1. + a_3d/(np.sqrt(np.pi) * loo) * w(args))**-1\n",
    "                beta_2d = beta * np.abs(eta_bar)**2\n",
    "\n",
    "                f2d = (1. + moment**2 * beta_2d**2 + 2. * moment * beta_2d)**-1\n",
    "                return beta_2d * f2d\n",
    "\n",
    "            out = []\n",
    "            for bfield in B:\n",
    "                out.append(beta_times_etasq(bfield))\n",
    "\n",
    "            lambda_PJ = np.sqrt(1. - np.exp(-2. * h_bar * omega/(kbT)))\n",
    "            lambda_PJ = 1.\n",
    "            return norm/a_bar * np.array(out) * lambda_PJ ## in cm^3\n",
    "        \n",
    "        else:\n",
    "            s = q * (1. - delta/(B-B0))\n",
    "            phi = 2. * np.arctan(1./(s - 1.))\n",
    "            C = 4.*y/((1.+y)**2 +(1.-y)**2 * r1**2 - 2.*r1*(1.-y)*(1.+y) * np.cos(phi))      \n",
    "                \n",
    "            return C * norm ## cm^3/s\n",
    "        \n",
    "    \n",
    "    def zero_temp_const_norm(self, B, B0, delta, q, y, norm):\n",
    "        s = q * (1. - delta/(B-B0))\n",
    "        \n",
    "        alpha = (s + y**2 * (1-s) * (1 + (1-s)**2)/(1 + y**2 * (1-s)**2)) * (self.a_bar)\n",
    "        beta = y * (1 + (1-s)**2)/(1 + y**2 * (1-s)**2) * (self.a_bar)\n",
    "        return 2.*h/mu * beta * norm * 1e6 ## cm^3/s\n",
    "    \n",
    "    def zero_temp_const_norm_gamma(self, B, B0, delta, q, y, norm, gamma):\n",
    "        s = q * (1. - delta/(B-B0-1j*gamma/2.))\n",
    "        \n",
    "        a_complex = self.a_bar * (s + y * (1 + (1-s)**2)/(1j+ y * (1-s)))\n",
    "        alpha = np.real(a_complex)\n",
    "        beta = -np.imag(a_complex)\n",
    "        return 2.*h/mu * beta * norm * 1e6\n",
    "    \n",
    "    def zero_temp_const_norm_gamma_slope(self, B, B0, delta, gamma, slope, B02):\n",
    "        q = self.q\n",
    "        y = self.y\n",
    "        norm = f.norm\n",
    "        \n",
    "        s = q * (1. - delta/(B-B0-1j*gamma/2.))\n",
    "        \n",
    "        a_complex = self.a_bar * (s + y * (1 + (1-s)**2)/(1j+ y * (1-s)))\n",
    "        alpha = np.real(a_complex)\n",
    "        beta = -np.imag(a_complex)\n",
    "        \n",
    "        extra = slope *(B-B02)\n",
    "        extra[extra<0] = 0\n",
    "        return 2.*h/mu * (beta/a_bar * norm + extra)* a_bar * 1e6\n",
    "    \n",
    "    def beta_norm(self, B, B0, delta, q, y, norm):\n",
    "        s = q * (1. - delta/(B-B0))\n",
    "        \n",
    "        alpha = (s + y**2 * (1-s) * (1 + (1-s)**2)/(1 + y**2 * (1-s)**2)) * (self.a_bar)\n",
    "        beta = y * (1 + (1-s)**2)/(1 + y**2 * (1-s)**2) * (self.a_bar)\n",
    "        return beta/self.a_bar * norm\n",
    "    \n",
    "    def beta_delta_gamma_slope(self, B, B0, delta, gamma, slope, B02):\n",
    "        q = self.q\n",
    "        y = self.y\n",
    "        norm = f.norm\n",
    "        \n",
    "        s = q * (1. - delta/(B-B0-1j*gamma/2.))\n",
    "        \n",
    "        a_complex = self.a_bar * (s + y * (1 + (1-s)**2)/(1j+ y * (1-s)))\n",
    "        alpha = np.real(a_complex)\n",
    "        beta = -np.imag(a_complex)\n",
    "        \n",
    "        extra = slope *(B-B02)\n",
    "        extra[extra<0] = 0\n",
    "        return beta/a_bar * norm + extra    \n",
    "    \n",
    "\n",
    "    ################################################################################################################\n",
    "\n",
    "\n",
    "    def imag_a_norm_3dcorr(self, B, B0, delta, q, y, norm):\n",
    "        omega_na = 2*np.pi * 45. * 1e3\n",
    "        omega_mol = 2*np.pi * 67. * 1e3\n",
    "        lo_red_na = np.sqrt(h_bar/(self.mu*omega_na))\n",
    "        lo_red_mol = np.sqrt(h_bar/(self.mu*omega_mol))\n",
    "#         print(\"reduced oscillator length with omega_na = {} nm\".format(lo_red_na*1e9))\n",
    "#         print(\"reduced oscillator length with omega_mol = {} nm\".format(lo_red_mol*1e9))\n",
    "        \n",
    "        which = self.which\n",
    "        if which == 'mol':\n",
    "            omega= omega_mol\n",
    "            lo = lo_red_mol\n",
    "            \n",
    "        elif which == 'na':\n",
    "            omega= omega_na\n",
    "            lo = lo_red_na \n",
    "        else:\n",
    "            omega = mu * (omega_na/m_na + omega_mol/m_mol)\n",
    "            lo = np.sqrt(h_bar/(self.mu*omega))\n",
    "        \n",
    "        T_rel = mu * (self.Tna/m_na + self.Tmol/m_mol)\n",
    "        T_rel_new = T_rel\n",
    "        kbT = kb * T_rel_new    \n",
    "\n",
    "        epsilon = kbT ## freeze the axial direction to the ground state\n",
    "        args = epsilon/(2.*h_bar*omega)\n",
    "        BB = 0.9049\n",
    "        BB = 0.915\n",
    "        w = lambda e: np.log(BB/(2.*np.pi) * e**-1) + 1j * np.pi\n",
    "        \n",
    "        def beta_times_etasq(B):\n",
    "            s = q * (1. - delta/(B-B0))\n",
    "            a_3d = a_bar * (s * (1j - y) + 2*y)/(y*(1. - s) + 1j)\n",
    "            alpha = np.real(a_3d)\n",
    "            beta = -np.imag(a_3d)\n",
    "            \n",
    "            eta = (1. + a_3d/(np.sqrt(np.pi) * lo) * w(args))**-1\n",
    "            return beta * np.abs(eta)**2\n",
    "        \n",
    "        out = []\n",
    "        for bfield in B:\n",
    "            out.append(beta_times_etasq(bfield))\n",
    "        \n",
    "        lambda_PJ = np.sqrt(1. - np.exp(-2. * h_bar * omega/(kbT)))\n",
    "        lambda_PJ = 1.\n",
    "        return norm/a_bar * np.array(out) * lambda_PJ ## in cm^3\n",
    "    \n",
    "    def imag_a_norm_gamma_3dcorr(self, B, B0, delta, q, y, norm, gamma):\n",
    "        omega_na = 2*np.pi * 45. * 1e3\n",
    "        omega_mol = 2*np.pi * 67. * 1e3\n",
    "        lo_red_na = np.sqrt(h_bar/(self.mu*omega_na))\n",
    "        lo_red_mol = np.sqrt(h_bar/(self.mu*omega_mol))\n",
    "#         print(\"reduced oscillator length with omega_na = {} nm\".format(lo_red_na*1e9))\n",
    "#         print(\"reduced oscillator length with omega_mol = {} nm\".format(lo_red_mol*1e9))\n",
    "        \n",
    "        which = self.which\n",
    "        if which == 'mol':\n",
    "            omega= omega_mol\n",
    "            lo = lo_red_mol\n",
    "            \n",
    "        elif which == 'na':\n",
    "            omega= omega_na\n",
    "            lo = lo_red_na \n",
    "        else:\n",
    "            omega = mu * (omega_na/m_na + omega_mol/m_mol)\n",
    "            lo = np.sqrt(h_bar/(self.mu*omega))\n",
    "        \n",
    "        T_rel = mu * (self.Tna/m_na + self.Tmol/m_mol)\n",
    "        T_rel_new = T_rel\n",
    "        kbT = kb * T_rel_new    \n",
    "\n",
    "        epsilon = kbT ## freeze the axial direction to the ground state\n",
    "        args = epsilon/(2.*h_bar*omega)\n",
    "        BB = 0.9049\n",
    "        BB = 0.915\n",
    "        w = lambda e: np.log(BB/(2.*np.pi) * e**-1) + 1j * np.pi\n",
    "        \n",
    "        def beta_times_etasq(B):\n",
    "            s = q * (1. - delta/(B-B0-1j*gamma/2.))\n",
    "            a_3d = a_bar * (s * (1j - y) + 2*y)/(y*(1. - s) + 1j)\n",
    "            alpha = np.real(a_3d)\n",
    "            beta = -np.imag(a_3d)\n",
    "            \n",
    "            eta = (1. + a_3d/(np.sqrt(np.pi) * lo) * w(args))**-1\n",
    "            return beta * np.abs(eta)**2\n",
    "        \n",
    "        out = []\n",
    "        for bfield in B:\n",
    "            out.append(beta_times_etasq(bfield))\n",
    "        \n",
    "        lambda_PJ = np.sqrt(1. - np.exp(-2. * h_bar * omega/(kbT)))\n",
    "        lambda_PJ = 1.\n",
    "        return norm/a_bar * np.array(out) * lambda_PJ ## in cm^3\n",
    "    \n",
    "    def imag_a_gamma_3dcorr_norm_fixed(self, B, B0, delta, q, y, gamma):\n",
    "        omega_na = 2*np.pi * 45. * 1e3\n",
    "        omega_mol = 2*np.pi * 67. * 1e3\n",
    "        lo_red_na = np.sqrt(h_bar/(self.mu*omega_na))\n",
    "        lo_red_mol = np.sqrt(h_bar/(self.mu*omega_mol))\n",
    "#         print(\"reduced oscillator length with omega_na = {} nm\".format(lo_red_na*1e9))\n",
    "#         print(\"reduced oscillator length with omega_mol = {} nm\".format(lo_red_mol*1e9))\n",
    "        \n",
    "        which = self.which\n",
    "        if which == 'mol':\n",
    "            omega= omega_mol\n",
    "            lo = lo_red_mol\n",
    "            \n",
    "        elif which == 'na':\n",
    "            omega= omega_na\n",
    "            lo = lo_red_na \n",
    "        else:\n",
    "            omega = mu * (omega_na/m_na + omega_mol/m_mol)\n",
    "            lo = np.sqrt(h_bar/(self.mu*omega))\n",
    "        \n",
    "        T_rel = mu * (self.Tna/m_na + self.Tmol/m_mol)\n",
    "        T_rel_new = T_rel\n",
    "        kbT = kb * T_rel_new    \n",
    "\n",
    "        epsilon = kbT ## freeze the axial direction to the ground state\n",
    "        args = epsilon/(2.*h_bar*omega)\n",
    "        BB = 0.9049\n",
    "        BB = 0.915\n",
    "        w = lambda e: np.log(BB/(2.*np.pi) * e**-1) + 1j * np.pi\n",
    "        \n",
    "        def beta_times_etasq(B):\n",
    "            s = q * (1. - delta/(B-B0-1j*gamma/2.))\n",
    "            a_3d = a_bar * (s * (1j - y) + 2*y)/(y*(1. - s) + 1j)\n",
    "            alpha = np.real(a_3d)\n",
    "            beta = -np.imag(a_3d)\n",
    "            \n",
    "            eta = (1. + a_3d/(np.sqrt(np.pi) * lo) * w(args))**-1\n",
    "            return beta * np.abs(eta)**2\n",
    "        \n",
    "        out = []\n",
    "        for bfield in B:\n",
    "            out.append(beta_times_etasq(bfield))\n",
    "        \n",
    "        lambda_PJ = np.sqrt(1. - np.exp(-2. * h_bar * omega/(kbT)))\n",
    "        lambda_PJ = 1.\n",
    "        return self.norm/a_bar * np.array(out) * lambda_PJ ## in cm^3\n",
    "    \n",
    "    def imag_a_norm_3dcorr_gamma_fixed(self, B, B0, delta, q, y, norm):\n",
    "        omega_na = 2*np.pi * 45. * 1e3\n",
    "        omega_mol = 2*np.pi * 67. * 1e3\n",
    "        lo_red_na = np.sqrt(h_bar/(self.mu*omega_na))\n",
    "        lo_red_mol = np.sqrt(h_bar/(self.mu*omega_mol))\n",
    "#         print(\"reduced oscillator length with omega_na = {} nm\".format(lo_red_na*1e9))\n",
    "#         print(\"reduced oscillator length with omega_mol = {} nm\".format(lo_red_mol*1e9))\n",
    "        \n",
    "        which = self.which\n",
    "        if which == 'mol':\n",
    "            omega= omega_mol\n",
    "            lo = lo_red_mol\n",
    "            \n",
    "        elif which == 'na':\n",
    "            omega= omega_na\n",
    "            lo = lo_red_na \n",
    "        else:\n",
    "            omega = mu * (omega_na/m_na + omega_mol/m_mol)\n",
    "            lo = np.sqrt(h_bar/(self.mu*omega))\n",
    "        \n",
    "        T_rel = mu * (self.Tna/m_na + self.Tmol/m_mol)\n",
    "        T_rel_new = T_rel\n",
    "        kbT = kb * T_rel_new    \n",
    "\n",
    "\n",
    "        epsilon = kbT ## freeze the axial direction to the ground state\n",
    "        args = epsilon/(2.*h_bar*omega)\n",
    "        BB = 0.9049\n",
    "        BB = 0.915\n",
    "        w = lambda e: np.log(BB/(2.*np.pi) * e**-1) + 1j * np.pi\n",
    "        \n",
    "        def beta_times_etasq(B):\n",
    "            s = q * (1. - delta/(B-B0-1j*self.gamma/2.))\n",
    "            a_3d = a_bar * (s * (1j - y) + 2*y)/(y*(1. - s) + 1j)\n",
    "            alpha = np.real(a_3d)\n",
    "            beta = -np.imag(a_3d)\n",
    "            \n",
    "            eta = (1. + a_3d/(np.sqrt(np.pi) * lo) * w(args))**-1\n",
    "            return beta * np.abs(eta)**2\n",
    "        \n",
    "        out = []\n",
    "        for bfield in B:\n",
    "            out.append(beta_times_etasq(bfield))\n",
    "        \n",
    "        lambda_PJ = np.sqrt(1. - np.exp(-2. * h_bar * omega/(kbT)))\n",
    "        lambda_PJ = 1.\n",
    "        return norm/a_bar * np.array(out) * lambda_PJ ## in cm^3\n",
    "    \n",
    "    def imag_a_norm_3dcorr_thavg(self, B, B0, delta, q, y, norm):\n",
    "        omega_na = 2*np.pi * 45. * 1e3\n",
    "        omega_mol = 2*np.pi * 67. * 1e3\n",
    "        lo_red_na = np.sqrt(h_bar/(self.mu*omega_na))\n",
    "        lo_red_mol = np.sqrt(h_bar/(self.mu*omega_mol))\n",
    "        \n",
    "        which = self.which\n",
    "        if which == 'mol':\n",
    "            omega= omega_mol\n",
    "            lo = lo_red_mol\n",
    "            \n",
    "        elif which == 'na':\n",
    "            omega= omega_na\n",
    "            lo = lo_red_na \n",
    "        else:\n",
    "            omega = mu * (omega_na/m_na + omega_mol/m_mol)\n",
    "            lo = np.sqrt(h_bar/(self.mu*omega))\n",
    "        \n",
    "#         omega = mu * (omega_na/m_na + omega_mol/m_mol)        \n",
    "        T_rel = mu * (self.Tna/m_na + self.Tmol/m_mol)\n",
    "        T_rel_new = T_rel\n",
    "        kbT = kb * T_rel_new    \n",
    "\n",
    "        axialflg = self.axialflg\n",
    "#         BB = 0.9049\n",
    "        def w(e):\n",
    "            if axialflg is False:\n",
    "                BB = 0.915\n",
    "                return np.log(BB/(2*np.pi) * e**-1) + 1j * np.pi\n",
    "            else:\n",
    "                return w_full(e)\n",
    "        \n",
    "        def thermal_weight(u):\n",
    "            return np.exp(-u)\n",
    "        Z = integrate.quad(thermal_weight, 0, np.inf)[0]\n",
    "        \n",
    "        n_limit = self.n_limit\n",
    "        if axialflg is True:\n",
    "            def boltzmann(n):\n",
    "#                 return np.exp(-h_bar* omega_na*(n+0.5)/(kb * self.Tna)) * np.exp(-h_bar* omega_mol*(n+0.5)/(kb * self.Tmol))\n",
    "                if which == 'na':\n",
    "                    return np.exp(-h_bar* 2. * omega_na*(n+0.5)/(kb * self.Tna))\n",
    "                if which == 'mol':\n",
    "                    return np.exp(-h_bar* 2. * omega_mol*(n+0.5)/(kb * self.Tmol))\n",
    "\n",
    "            Z_ax = 0.\n",
    "            for n in range(n_limit):\n",
    "                Z_ax += boltzmann(n)\n",
    "            \n",
    "            def beta_times_eta_sq(u, B, n):\n",
    "                s = q * (1. - delta/(B-B0))\n",
    "                a_3d = a_bar * (s * (1j - y) + 2*y)/(y*(1. - s) + 1j)\n",
    "                alpha = np.real(a_3d)\n",
    "                beta = -np.imag(a_3d)\n",
    "                args = (u * kbT + h_bar*omega/2. * n)/(2. * h_bar * omega)\n",
    "                eta = (1. + a_3d/(np.sqrt(np.pi) * lo) * w(args))**-1\n",
    "                return beta * np.abs(eta)**2\n",
    "            \n",
    "            def funcToInt(u, B, n):\n",
    "                return beta_times_eta_sq(u, B, n) * thermal_weight(u) * boltzmann(n)\n",
    "            \n",
    "            out = []\n",
    "            temp = 0.\n",
    "            for Bfield in B:\n",
    "                temp = 0.\n",
    "                for n in range(n_limit):\n",
    "                    temp += integrate.quad(funcToInt, 0, np.inf, args = (Bfield, n, ))[0]\n",
    "        \n",
    "                out.append(temp/(Z * Z_ax))\n",
    "                temp = 0.\n",
    "            \n",
    "\n",
    "        elif axialflg is False:\n",
    "            def beta_times_etasq(B, u):\n",
    "                s = q * (1. - delta/(B-B0))\n",
    "                a_3d = a_bar * (s * (1j - y) + 2*y)/(y*(1. - s) + 1j)\n",
    "                alpha = np.real(a_3d)\n",
    "                beta = -np.imag(a_3d)\n",
    "\n",
    "                args = u * kbT/(2. * h_bar * omega)\n",
    "                eta = (1. + a_3d/(np.sqrt(np.pi) * lo) * w(args))**-1\n",
    "                return beta * np.abs(eta)**2        \n",
    "\n",
    "            def funcToInt(u, B):\n",
    "                return beta_times_etasq(B, u) * thermal_weight(u)\n",
    "\n",
    "            out = []\n",
    "            for Bfield in B:\n",
    "                out.append(integrate.quad(funcToInt, 0, np.inf, args = (Bfield,))[0]/Z)\n",
    "\n",
    "            lambda_PJ = np.sqrt(1. - np.exp(-2. * h_bar * omega/(kbT)))\n",
    "            out = np.array(out) * lambda_PJ\n",
    "\n",
    "        return norm/a_bar * np.array(out) * lambda_PJ\n",
    "\n",
    "    \n",
    "    def imag_a_delta_gamma_only_slope_3dcorr(self, B, B0, delta, gamma, slope, B02):\n",
    "        y = self.y\n",
    "        q = self.q\n",
    "        norm = f.norm\n",
    "        \n",
    "        ratio = self.imag_a_norm_gamma_3dcorr(B, B0, delta, q, y, norm, gamma)\n",
    "        \n",
    "#         scale = (2.*h/self.mu * a_bar * 1e6)**-1\n",
    "        extra = slope *(B-B02)\n",
    "\n",
    "        extra[extra<0] = 0.\n",
    "\n",
    "#         scale = 1.\n",
    "        return ratio + extra\n",
    "\n",
    "    \n",
    "    def fit(self, xfit, yfit, err_fit, temp_list = []):\n",
    "        print(\" PJ fit fitting start... \")\n",
    "        print(\" \")\n",
    "        flg = self.flg\n",
    "        self.setFitFunc(flg)\n",
    "        print(\" The fit func:   \" + str(self.funcToFit))\n",
    "            \n",
    "        popt, pcov = curve_fit(self.funcToFit, xfit, yfit, sigma = err_fit, bounds = self.bounds, p0 = self.init_cond, method = self.method, absolute_sigma=True)\n",
    "        fiterr = np.sqrt(np.diag(pcov))\n",
    "        \n",
    "        \n",
    " \n",
    "        if flg == 'delta_gamma_only_slope' or flg == 'delta_gamma_only_slope_effectRange' or flg == 'delta_gamma_only_slope_3dcorr' or flg == 'zero_temp_const_norm_gamma' or flg == 'zero_temp_const_norm_gamma_slope' or flg == 'beta_delta_gamma_slope':\n",
    "            self.Bres, self.delta, self.gamma = popt[:-2]\n",
    "            self.Bres_err, self.delta_err, self.gamma_err = fiterr[:-2]\n",
    "        else:\n",
    "            self.Bres, self.delta, self.q, self.y = popt[:4]\n",
    "            self.Bres_err, self.delta_err, self.q_err, self.y_err = fiterr[:4]\n",
    "        \n",
    "        print(\"\")\n",
    "        print(\" Class PJ Fit, fit done.... \")\n",
    "        print(\"\")\n",
    "        \n",
    "        if flg == 'beta_norm' or flg == 'norm' or flg == 'noSat_norm' or flg == 'norm_noTherAvg' or flg == 'norm_effectRange' or flg == 'norm_3dcorr'or flg == 'norm_3dcorr_thavg'or flg == 'norm_3d_keff'or flg == 'norm_3d_keff_thavg'or flg == 'norm_3d_keff_2dsat' or flg == 'zero_temp_const_norm' or flg == 'norm_3dcorr_gamma_fixed' or flg == 'cfunction_norm':\n",
    "            self.norm = popt[-1]\n",
    "            self.norm_err = fiterr[-1]\n",
    "        elif flg == 'gamma' or flg == 'noSat_gamma' or flg == 'gamma_slopeFixed' or flg == 'gamma_effectRange' or flg == 'gamma_noTherAvg' or flg == 'gamma_3dcorr_norm_fixed':\n",
    "            self.gamma = popt[-1]\n",
    "            self.gamma_err = fiterr[-1]\n",
    "       \n",
    "        elif flg == 'norm_gamma' or flg == 'norm_gamma_effectRange' or flg == 'norm_gamma_3dcorr' or flg == 'zero_temp_const_norm_gamma':    \n",
    "            self.norm = popt[-2]\n",
    "            self.norm_err = fiterr[-2]\n",
    "            self.gamma = popt[-1]\n",
    "            self.gamma_err = fiterr[-1]\n",
    "\n",
    "        else:\n",
    "            print(\"\")\n",
    "        \n",
    "        corr_coeff_mat = correlation_coeff(pcov)\n",
    "        return popt, np.sqrt(np.diag(pcov)), corr_coeff_mat     \n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " NO AVAILABLE FUNCTION TO FIT \n",
      " NO AVAILABLE FUNCTION TO FIT \n",
      " NO AVAILABLE FUNCTION TO FIT \n",
      " set fit func... \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f = PJfit()\n",
    "f.setFitFunc('abar_effectRange')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## DATARUN"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Apr_1_0.5', 'Apr_28_0.558', 'Apr_5_0.73', 'Feb_15_0.89', 'Feb_1_0.798', 'Jan_28_0.595', 'Jan_29_0.567', 'Mar_31_0.547', 'May_6_0.66', 'May_7_0.635']\n",
      "0.5\n",
      "\n",
      " $$$ 0 $$$ 0 $$$ 0 $$$ 0 $$$ 0 $$$ 0 $$$ 0 $$$ 0 $$$ 0 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.33480952381e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.339 +/- 0.047 uk (3.48646576739 %)\n",
      "mean Na temp = 1.335 +/- 0.019 uk\n",
      "111111    1.49553508772e-06\n",
      "222222       [18 19]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.49553508772e-06 *******\n",
      "init mol temp = 1.46691666667 (1.6495044806 %)\n",
      "mean mol temp = 1.49553508772 (2.91588097996 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 428.674658105E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 227.631007048k\n",
      "TOTAL Na num = 227.631007048k\n",
      "\n",
      "init mol temp/init Na temp = 1.09897078235\n",
      "init mol temp = 1.46691666667e-06 uk\n",
      "init na temp = 1.33480952381e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.83520785074\n",
      "\n",
      "init na num = 343.903234231 at 1.33480952381 uk\n",
      "init Na density = 6.17708012953e+11 cm^-3 (7.12865087902 %)\n",
      "\n",
      "init overlap density = 4.79789733506e+11 cm^-3 (9.25399359363 %) (34.2729689031 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.776725772444\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 39.9811431734 at 1.46691666667 uk\n",
      "init molecule density = 4.39250723134e+11 cm^-3 (7.0410572668 %)\n",
      "two-body rate coefficient = 2.3001652222e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.106050109144\n",
      "loss rate coefficient = 6.61042145267e-12 (14.0748944553 %) (35.8762129262 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 4.10323680834\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0724714245664\n",
      "\n",
      "loss rate from EXP fit = 3.73893030331\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.3001652222e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.104540039428\n",
      "loss rate coefficient = 6.97899779554e-12 (12.1877121039 %) (35.1786913675 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.3001652222e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.108206714441\n",
      "loss rate coefficient = 6.92230726112e-12 (12.5036418052 %) (35.2893901675 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 1 $$$ 1 $$$ 1 $$$ 1 $$$ 1 $$$ 1 $$$ 1 $$$ 1 $$$ 1 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.52569230769e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.359 +/- 0.068 uk (5.03422645339 %)\n",
      "mean Na temp = 1.526 +/- 0.031 uk\n",
      "111111    1.61507692308e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.61507692308e-06 *******\n",
      "init mol temp = 1.54908333333 (2.0415370247 %)\n",
      "mean mol temp = 1.61507692308 (2.09077252962 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 314.785986223E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 171.412080549k\n",
      "TOTAL Na num = 171.412080549k\n",
      "\n",
      "init mol temp/init Na temp = 1.01533141743\n",
      "init mol temp = 1.54908333333e-06 uk\n",
      "init na temp = 1.52569230769e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.03012946056\n",
      "\n",
      "init na num = 258.968097763 at 1.52569230769 uk\n",
      "init Na density = 3.8064642189e+11 cm^-3 (7.17579719645 %)\n",
      "\n",
      "init overlap density = 3.0543305449e+11 cm^-3 (8.96801068964 %) (34.1968597349 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.8024062146\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 45.5703340276 at 1.54908333333 uk\n",
      "init molecule density = 4.61355265641e+11 cm^-3 (7.39656026648 %)\n",
      "two-body rate coefficient = 2.42900478984e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.101780455851\n",
      "loss rate coefficient = 6.30337972079e-12 (13.5653170867 %) (35.6793753822 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 2.89573653756\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0558917004186\n",
      "\n",
      "loss rate from EXP fit = 2.62167556926\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.42900478984e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0998233537004\n",
      "loss rate coefficient = 6.81325417369e-12 (11.7384368092 %) (35.0255749235 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.42900478984e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.104689618352\n",
      "loss rate coefficient = 6.65457283093e-12 (12.1549595306 %) (35.1673576089 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 2 $$$ 2 $$$ 2 $$$ 2 $$$ 2 $$$ 2 $$$ 2 $$$ 2 $$$ 2 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.51895652174e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.525 +/- 0.014 uk (0.889639897258 %)\n",
      "mean Na temp = 1.519 +/- 0.028 uk\n",
      "111111    1.60708333333e-06\n",
      "222222       [21]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.60708333333e-06 *******\n",
      "init mol temp = 1.55633333333 (1.29096954601 %)\n",
      "mean mol temp = 1.60708333333 (2.60191114595 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 331.853710704E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 188.568969143k\n",
      "TOTAL Na num = 188.568969143k\n",
      "\n",
      "init mol temp/init Na temp = 1.02460690024\n",
      "init mol temp = 1.55633333333e-06 uk\n",
      "init na temp = 1.51895652174e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.41745010059\n",
      "\n",
      "init na num = 284.888597582 at 1.51895652174 uk\n",
      "init Na density = 4.21534352623e+11 cm^-3 (7.34896970434 %)\n",
      "\n",
      "init overlap density = 3.37012068462e+11 cm^-3 (9.15142841555 %) (34.2454178255 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.799488977268\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 46.7407260211 at 1.55633333333 uk\n",
      "init molecule density = 4.69901646797e+11 cm^-3 (7.01377628029 %)\n",
      "two-body rate coefficient = 2.44037298698e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0876458592366\n",
      "loss rate coefficient = 7.80406115885e-12 (12.6714880128 %) (35.349209446 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 3.50404093325\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0586424406757\n",
      "\n",
      "loss rate from EXP fit = 3.32227640473\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.44037298698e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0855322319953\n",
      "loss rate coefficient = 8.71386959745e-12 (10.5074059243 %) (34.6324353642 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.44037298698e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0906155634913\n",
      "loss rate coefficient = 8.27874389525e-12 (10.925189043 %) (34.7614694112 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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uB/zuUx0/72PHNuB3n+r3t6W3+9ytMfrJrxq9t30b/eRXbnl/4b1kPSXvXk8pPj5eZ2dn6wEDBuiDBw/qd999V8+aNUtrrXVRUZGuqanRWmv9xRdf6OnTpzdb3qCgIMf+448/rhctWtTstTjfyHpK7WAfkj0w7Ch+qtztQ7I9PSRdiDOR9ZRaXk8JjGU75s6dy5NPPtkovaioiF/84hcMHjyYhx56qNnrIJrX6YMSwP8b0pX6qJdJ6P0Yd/s8QPzXd7N1+VwOfLWComO7oK7GZe8t9ykJbyXrKeE4bm49Jbtbb72V7777juPHjzvSFixYwOWXX86ePXv46KOPmr0OonmdfqADgNlk5uYu1/NW3icsii6hd1Uaj2RtZlhaJfwbajFz0hJHWUgfTDFJhMUnE5kwGBXVF3zObRp6Z3KfkvBG7lhPyXlS1jOtp3Tfffdx9OhREhMTyc/Pb3NtCRqvp/Szn/2sw9ZTslgsPPTQQzz11FNcccUVQOPrsHz58jafs7OsndScVgUlpVQ4xmwLjvxa622uKpS7rdmewUs/jiazcAhR3fZyKvpz7vZTDAjsy6TaJOJz87EWH6J77h56nvoa0z7bPU2YKPSLpTKsD75d+hMWPxhLzACI6gsBYR7+VEK0z5QpU3jppZdISUmhf//+bVpPKTY2llGjRjkW5jvdzTffzO9+97tm11MKCAhgw4YNjnTn9ZTq6+uJiYnhiy++OKfPtGLFCu655x7Ky8vp1auXoxmxve644w7+9Kc/OY4feeQRZs2axV/+8hdHoGqL069FQEDnmQvzrOspKaX+CMzGmEzVnllrrdt+pTtYR6yn1Ox6Rr71TP3ZcTbmv0teZR6ju4/m7pS7SQofwoH0HDIP76E0fTfkHiC07CiJOp0ElY2vajhHuW8kNWG98e/aH7+utkAV2QfC4sEsFVRv5G03Mct6SuJ81Z71lFrz7fhfQG+tdfU5ls+rNXufULWJ9VuT+PI3n/LO/nd4fc/rzPpsFsO6DGNO8hyunDABpSYCUFevOZZXxhcZeWQd3U9Z5j5M+YfoUn6cXpVZ9Dr5Pn67Sh3nrlc+1IbGY4npi4rsAxG9ILI3RPSGkFgwSTefJ5z+48R+EzMgTasd7IEHHuDTTz/lk08+8XRRhBdqTU3pPeBerXWOe4rUeh1RU0qc/6+mU5FjTFl+9KmrAaioreC9n95j2Y/LyCnPISkiiZmDZjI5YTIWk6XZ8+aVVrEvq4S9WUUcO36csqyDWIoOk0AmiSqb3qZsEtRJ/KhyvEab/VARiUaAikg0Apb9MSROalguNOapr5tdQiQ2LIDv53umUcDdNaWC8mpOFlVSXVePr9lEl1B/wgN93fb+bbFs2TKWLFnSKG3MmDH87W9/81CJhLP21JRaE5SGY0yaugcavkG11lPPqbQdqCOCUlu+jKrrqvno8Ee8sfcNjhQdoUtgF24ccCMz+s4gzP/sfUiVNXUcyillb1Yx+7KK2Z9ZyKmsNKKqM0hU2SSobJL8cullyqFLXRY+9Q0BC5MPhPWE8EQITzCCVXiCsYXFg39Iu65DZ9eaHyfu5s6gVFBeTUZBBfVO3wcmpYgND/DawCS8l6ub71ZgzO69G6g/pxJ6sbmT+zftU2rhPiFfsy8z+s3g2r7Xsj5jPSt+XMHibYv5+86/c2Xildww4AYGRbY83Yi/xczg2FAGx4Y60rQeTWZRJfsyjUD1VnYx+7JKOJZXQowuIF7l0N8vl6EBBfSpz6X7qWxCT2zBp7qo8ckDImxBKt4IXmHxtv14CO0BFv92X6sLWWdfbPFkUWWjgARQrzUniyolKAm3ak1QOqW1XurykniIvb+gLR3cJmVibNxYxsaN5WDBQd7e/zYfHfmINYfWMDByINf1u46rEq8iyHL2+yOUUsSGBRAbFsCEgV0c6WVVtRw4WWLUqLJKWJlVzP7sEkqrjPslQlUpo8JKGR5ayED/AnqaTxFdk4lf1i7U/n9B3WldgNYutmBl20J7GFuY7dHPeg5X78LRlh8nF6LquuZ/b7aULoSrtKb57i8YzXYf0rj5zuNDwjui+a6jFFcX89Hhj3jv4HscLDhIgE8Ak+In8fM+P2dYl2GYVPsHMNTXa9ILKtibVcz+bKNmtS+rhOP55Y48wf4+JHUJYmRUNUOsRfT1K6A7OfiWnIDCE1B4HIrSof60G4IDwiE0DkJ72h5jjceQOOMxuCuYOnYyS2/TmUff7c8qbjYA+ZpNDOgmTcOibVzdp/RNM8kXzJDwjqa1ZtepXaw+uJq1aWspqykj1hrL1b2u5upeV9MrtFeHv2dpVS0Hso1a1YHsEvZnG7WrkqqGu9DjIwMZ0DWYAV1DSOoayMDgSuLUKUzF6Q2Bqigdik5AUQZUndY8qMwQ3M0IViHdjZGCIbb90DjjOWsXGYzRgbylT2nd2n8xffp09u3bx4ABAzrk/V544QUWL17M4cOHyc3NJSoqqsW8WmsefPBBPvnkEwIDA1m+fDkXXXRRk3yXXXYZWVlZjnt6Pv/8c2JiYprkq6mpYdSoUWzduhWAu+++m5kzZzJmzBhHnoULF/LMM8+QlpbmOIfVaqW0tJQTJ04wc+ZMsrOzMZlMzJkzhwcffBAwlqL46KOP8PX1pXfv3ixbtoywsOb7m8vLy7nrrrvYtWsXWmvCwsL47LPPsFqtmM1mkpOTHXnXrFlDQkICu3bt4u6776a4uBiTycTmzZvx92/cNL9w4UJeffVVoqOjAXjiiSe46qqrqK6u5u6772bLli2YTCaWLFnCZZdd1qRcy5cvZ9KkSWedofyJJ57gt7/9bbPPubRPSWt9+dnyiAZKKYZED2FI9BDmj5zPV8e/4sNDH/La7td4ZdcrJEUkcWXilUyMn0hccFyHvKfVz4dh8eEMiw93pGlt1Kr2Z5ewP6uYfdlG898Xe09Sb/veCbCY6de1G0ld+9G/azADkkIY0DWY8CBfqCyyBakMKLYFrOJM4zFrJxz4FGpPmzpFmcDaFUK6GUEqJLZh376FdAO/4A753B3N22pKbdWe8tv7jZobfffWW29x6aWX8vbbb7Nw4cI2laml5SLGjBnDNddc0+yX4uk+/fRTDh48yMGDB9m4cSP33nsvGzdubDbvypUrGT78zN9769evZ/To0Y7jjRs38uKLLzbJFxUVxXPPPcfTTz/dKN3Hx4fnnnuOiy66iJKSEoYNG8bEiRMZOHAgEydO5Mknn8THx4d58+bx5JNPNnm93ZIlS+jSpQu7dxu3Hhw4cACLxRjNGxAQ0GT5jdraWm655RbefPNNhgwZQl5eniP/6R566CF+85vfNEp79dVXAdi9ezc5OTlceeWVbN68GdNpt6G0dtmMMwWl9jhrUFJKPdZcurYt2idaFuATwDW9ruGaXteQW57L2rS1/OvIv/jL1r/wl61/YWDkQCbFT2J8z/EkhCZ06HsrpegREUiPiEAmOvVVVVTX8dPJEqNmZatRrf0xm7c3N0w42SXEj/5dQ0jqGkz/rgMZ0H0UvVOD8PNx+nLRGioKoDjDCFwlmUbQsm95h+Dod1BV3LRwvlajOTC4m/Fo7dJ03xpjBK92zHnWFuf7fUodUf7wQN8mgxpKS0v5/vvv+eabb5g6daojKK1bt47HHnuMyMhIDhw4wNixY3nxxRcxmUxYrVYefvhh1q5dy3PPPcell17a5L2GDh3a6s/2wQcfMHPmTJRSjBo1isLCQrKysujWrVurz+Hss88+48orrwSMX/T9+vVrNnDefvvtLF++nHnz5jWa1qhbt26O9w4ODiYpKYmMjAwGDhzIpEmTHPlGjRrFqlWrWixHVlYW8fHxjuP+/c/cf/n555+TkpLCkCFDAIiMjGzFp22wd+9ex7IfMTExhIWFsWXLFkaOHOnI47xsRkBAAN9++y0jR47kww8/pH///tx4441cccUVHD58mIqKClJTUxk0aBArV65sU1nOpDVtLWVO+/7ANcC+DitBJxEdGM0tA2/hloG3kF6SzhfHvuDztM9ZvG0xi7ctpldoL67oeQXj4saRHJWM2UX9NwG+Zob0CGNIj4YmBa01uSVV7LPVqoyAVcIPh/Mc/Qw+JkWv6CD6dzVqU/27BNO/azBxXQajuia39HZQVQol2VCS5bRlG4Gr9CSkbzaOT691AVgCjSBl7WIEqSb7McYWFAM+7Rshdr4vtuiq8q9Zs4YpU6bQr18/IiIi2LZtm6PpbNOmTezdu5f4+HimTJnC6tWrue666ygrK2Pw4MH84Q8d87s1IyODHj16OI7j4uLIyMhoNijddtttmM1mZsyYwe9+97tmJ3L95ptvePzxxwGjFjZlypRm39dqtXL77bezZMkSfv/73zebJy0tje3bt3PxxRc3ee711193zFDenNtvv51JkyaxatUqxo8fz6xZs+jbty+A4wsfIDExkffff5+ffvoJpRSTJ08mNzeXG264gUceeaTZc7/wwgu88cYbDB8+nOeee47w8HCGDBnCBx98wA033MCJEyfYunUrJ06caBSUrrvuOl544QWeffZZR43zhRdeYPbs2Tz44IMUFBRw1113OdKbW0yxvVrTfPec87FS6lmMQQ/iHMUFx3Hb4Nu4bfBtZJVm8c2Jb/j6xNcs27OM13a/RphfGJfGXsqlsZdySfdLiPBv++STbaGUIibEn5gQf8b1i3ak19TVc/RUGfuzSziQbQSr7ccL+GhnwzLNVj8f+nWxOoKVvd8qNNDWrOBnBb8+ENWn5QJobTQXlp60Ba2TUJoNpTlGwCo9Cbn74ci3Tfu67PzDGgKUNQaCosEabRwHRTsdR4Nv01GR5/tii64q/1tvvcWvfvUrAG644QbeeustR1AaOXIkvXoZfaQ33ngj69ev57rrrnMEhY7SXL93c8Fm5cqVxMbGUlJSwowZM3jzzTeZOXNmozyZmZlEREQQGBgIwNq1a884/90vf/lLUlNT+fWvf93kudLSUmbMmMHixYsJCWk8GOTPf/4zPj4+3HzzzS2eOzU1lSNHjvD555/z5ZdfMmLECDZs2EBSUlKLzXfr169n8+bNBAYGMn78eIYNG9Zk0cN7772XBQsWoJRiwYIF/PrXv+b111/n9ttvZ9++fQwfPpz4+HhGjx6Nj8/Z6yUTJ07k3Xff5b777mPnzp1nzd9e59IrHQh0fG99J9XN2o2bkm7ipqSbKKoqYkPmBr5L/45/Z/ybj498jEKRFJnEmO5juLjbxaTGpOJnbv/M5K1hMZvo1yWYfl2CYUhD+3JJZQ0/nSyxBasS9meV8MnuLN7a1DB1v70JsL9TwOoTY8Xf0kwNUCljAtuAMIg+yxDsmkooyzECVmmOEbDKco3H0hxjP2snlJ1qOYBZAiEwCoLsWzR/CirjWGUA+YSQp0PI18HkEYJ/SIwRNN3UjHiuXHGfVV5eHl9//TV79uxBKUVdXR1KKZ555hmgaWCwH/v7+3fosuNxcXGN1jNKT09vtr/DPit3cHAwN910E5s2bWoSlD799FMmT54MGAMNCgsLz9h3EhYWxk033dSkz6mmpoYZM2Zw8803M3369EbPrVixgo8//pivvvrqrEtuWK1Wpk+fzvTp0zGZTHzyySctDm6Ji4tj3LhxjkEhV111Fdu2bWsSlLp0aWiuv+uuuxzrXvn4+PD88887nhs9erSjZnYm9fX17Nu3j4CAAPLz84mL65i+8Ja0pk9pNw0TsZqBaED6k1wg1C+UKYlTmJI4hbr6Ovbm7eX7zO/5T+Z/eH3P67y6+1X8zH6kxqQysutIhncZzuCowfia3XtzY7C/hWHxEQyLb6jBaa05WVzFfluN6oCt32rFkTyqa40mQJOChMgg+tma/uxbfEQgPuZWDpm3+Dfca3U2NZVGkCo/BaW5RjArO2Wk2R9LT8LJH7lB52K2NDO9YxXwZ38IjITACCOYBUY6bRHGFmB7DIw09n0DW/d5Oogr7rNatWoVM2fO5OWXX3akjRs3jvXr1wNG893Ro0eJj4/nnXfeYc6cOef+Ac5g6tSpvPDCC9xwww1s3LiR0NDQJk13tbW1FBYWEhUVRU1NDR9//DETJkxocq7PPvuMP/7xj4DRjHf55Wcfx/Xwww8zYsQIx5pKWmsJzrgqAAAgAElEQVTuuOMOkpKSePjhh5uc/+mnn+bbb7911MZa8v333zNw4EDCw8Oprq5m7969Zxz4MXnyZJ555hnKy8vx9fXl22+/5aGHHmqSz7m/7f3333esV1VeXo7WmqCgIL744gt8fHwYOHBgk9efvmzG888/T1JSEk888QS33347GzZswGKxYLFYqKmpaXGwxblqTU3pGqf9WuCk1rrlFa9EhzCbzCRHJ5Mcncw9Q+6htLqUrSe38kPWD2zM3shft/8VAH+zP8nRyQyNGcrQmKEMiR5CsK/7R7cppega6k/XUH8u698wDLe2rp60vHIjUGUX89PJUg6cLGHt3mzsrTK+Pib6RFsZ0DWYfrb+qn5dg+ke6t+uxd2MAGa7QfgszFrz8eaDvPHlZmpKculjreLGQYFcFFVnBLXyAijPM/YLjxn7lS3UxAB8/BsCVGC48RgQbmyBTvvO6QFh57w+17ncBH42b731FvPnz2+UNmPGDP73f/+X66+/nksuuYT58+eze/duxo4dy7XXXtvqcy9dupRnnnmG7OxsUlJSuOqqq3jttdeazXvVVVfxySef0KdPHwIDAxs1t6WmprJjxw6qqqqYPHkyNTU11NXVMWHCBEffh11dXR0HDx50DGv/9NNPue66685a1qioKK699lpHLeP777/nzTffJDk52dHvYx92ff/991NVVcXEicaEzaNGjeKll15q9ryHDx/m3nvvRWtNfX09V1999RmbPcPDwx0BUinFVVddxdVXG1Ng3Xnnndxzzz0MHz6cRx55hB07dqCUIiEhwfGjIicnh8mTJ2MymYiNjW00Q7vz652XzVixYgWvvfYamzZtIjg4mLFjx/KnP/2J3//+98yZM4eUlBQuuuiiDh3ocNb7lACUUmagC43XUzre8ivcwxvvU3KXwspCtuZsZUv2FrbnbGd//n7qdB0KRe+w3qREpzAkegiDIgfRO6w3Pibvun/IPg+go7/qZCk/ZZeQXdww4CHYz4e+Xaz072o0IdqDVZTVNc2XbR5SXVdjjEAszzeCVIXtsTzftl9ge8w38lXYHuvP8JvOEugIUvuGP0FS7x7GTcvKx3g0mY17xkw+Tvv2dPfNML9u3TqeffZZPv74Y7e9Z3utX7+ef/7zn44gcdFFF7Fx48YO/6UvXHyfklLqAeBx4CQNc99pIKXtRRUdJcw/jPE9xzO+p9GeXF5Tzs7cnY7ty2NfsvrgasAYmp4UkcTAyIGOLSEkwWUj/FqjuXkAAQrLq/npZCk/nSxx9Ft9uiebtzY19ClEBvk6mgCNPi8rfbsEExpw7l8u5zSk2mxpGAHYWlpDVUnjINVoK7RtBUb+2iqorzO2s009qUwNQapRsGpmv9nHC3vZlEsvvbTR8PRt2zw+KY1oRmtmdDgEXKy1znNPkVqvM9eUzqZe13O8+Dh78vaw55SxHcg/QGWdURPxN/vTN7wv/SP60z+8P/3C+9EnvA8hvt43pYx9yPqBkyVGwLL1WR08WUJZdUMfStcQf/p1DaZfjNUIVl2D6RtjJcjv7LXE82LpCl3fEKB0nVHjcuy3Iv2sVOMA1SRwmZoGMkea03NOTa7XXnttk9Vnn376acdgA2cX6nIUa9euZd68eY3S7MO8L1TumGZoojf2I0lQapva+lrSitLYm7+X/fn7OZB/gP35+ymubrjBtWtQV3qH9aZvWF96h/WmV2gvEkMTPdJPdTZaazIKK2w3A5dy8KQRrA7llFJV21CriA0LoH/XYPp2sdIvxqhh9Y62EuDbUFO84Jeu0LohqOm6Mzw2k8f5da1iaghqTYKWqXGQOz290bF98+6Rj6IpVy9dcQRYp5T6F40nZP3LmV6klOoBvAF0xWh3eEVrvUQptRC4C8i1Zf2t1voT22seBe4A6oBfaq3XtqJ85z13TW/jY/KhT3gf+oT3YWpvYzksrTUny0/yU8FP/FTwEwcLDnK48DCbszZTXd8wGi0mIIaE0AQSQhJICE0gPiSensE9iQ2ObXGhQ1dTShEXHkhceCBXDGgYBltXrzmeX240AWaX8FOOEbD+fTCXmjptey30jAikb4zR/BcWaKGgvKbJe3h66QqtdfsGe9gp1RAMzr0wRoCyB6+WAlf9aXl0vdH/VlvZkK/ZnwAtld05gDkFL0eNznlzTjs9uJka5xcu0ZpxCmfSmqB03Lb52rbWqgV+rbXeppQKBrYqpb6wPfe81vpZ58xKqYHADcAgoDvwpVKqn9at/nl2XvL09DZKKboGdaVrUFfGxo11pNfW15Jeks6RoiMcLTrKkaIjpBWn8VnaZ41qVmZlpltQN3oE93BsscGxxFqNLdQvtLm3dSmzSZEYFURiVBCTB3V1pNfU1XMsr8zRZ3XQ9rjuQA619U3/IfmYFFcMiOHHzCJ6R7dwj5UL+fv7k5eXR2RkZMcEpvayBzbMxs0h7aF108BVX9cQ9HR94+cceesbgpyuapy/bR/mzAHLOcgp1fK+yTnNOeCpTlnD01qTl5fXZJLYtmjV6LuOoJT6AHgBGAOUNhOUHgXQWj9pO14LLNRab2jpnBdC85039mWcidaagqoCjhUf43jxcY4VH+NEyQnSS9I5UXqCotNuWLVarHSzdqN7UHe6BXWjm7Ub3YK6GYEwsCtRgVEeq2nZVdcaM1f878ZjrN6WQUlVLT4mRb3WjslrTfaaVRejn6pfF+Nm4BZvCO4ANTU1pKenU1nZzBRMoil7TQ7d/L7WtmPn9GaOqXfa1+cQ8KAhKNkenfcdAfH0tDPlb82jd/D39ycuLq7JqMYO61PqCEqpBOA7YDDwMDAbKAa2YNSmCpRSLwA/aK3/aXvNP4BPtdarTjvXHGAOQM+ePYcdO3bM5eV3JW/sy2iP4upiMkoyyCg1tszSTGMrMx5La0ob5VcoogKiiAmMabRFB0QTHRhNdEA0kQGRhPuFu320oD1Y/XSyhIM5pRzKMQZapJ0qc9SsnJsB+3axOgLW6X1W4jymtdH0WF0ONWXGTdk15U5bhfFcbYVtv8zIX1NhPO94zvY65+dqKhte19z8j61l8gGfAOPePB+nzXHs1zjdfmx/3ux7Wj5fY8b/hDFnf+9W6sg+pfYWxAq8B/xKa12slPo78EeMRuU/As8Bt2N8D5+uyfe11voV4BUwakodUUZPLllwoS3DHeIbQkhkCEmRzXfQl1aXkl2WTVZZFifLT3Ky/CTZZdnkludyouQE23K2NaltgdFMGO4fTqR/JJEBkY7HCP8Iwv3DjUe/cML9jS3QJ7DdTV6+PibHrBPOqmvrScsrczQBHsoxmgG//SmnUZ9VXHiAEaxsNaq+ttqVtRWjAYVntPhdYAkwNto2M3eb1NdDXZUtYFU0BC/HY1VDcGvy6LxVNc1fnm87dspjf76l++bix8Btn7ju87bApf86lFIWjIC0Umu9GkBrfdLp+VcB+9136YDzrfdxQCYu5uk+nc62DLfV10ofX2OwRUuq6qrILc/lVMUpciuMR/uWX5FPXmUeaUVp5FXmUVVX1ew5LCYLYX5hhPmHEeYXRqhvKKF+oYT5hRHiF0KobyghfiGE+IYQ6hdKiG8Iwb7BBFmCzrpKsK+P05yATux9VkZfVSmHco0BFusPnmq0qmv3UH96x1gb1a76xFgJC3TvdFGiMU9/F2Aygcke/Nyovs4W+CqNoGgPWGYPDWBqxZBwf4wRcYMwlq4AQGt9+1lep4AVQL7W+ldO6d201lm2/Ycw7oG6QSk1CPhfYCTGQIevgL5nGujQEX1K3tCnc74vLucpWmsqaivIr8wnvzKfgsoCCqoKKKgsoLCqkMKqQgoqCyiqKqKoqojCqkKKqouoPcOMCgqF1ddKsCXYePQNJtgSTJBvEFaL1dh8rQRZgozNJ4hASyBWi5EWaAk0Np9AxywatXX1nCio4KCjGbCUgznG0PXKmoZgFWX1o09MEH1jGvqr+sZYiQ72846BDhc4b/guuJB1ZPPdm8B+YDLGRKw307r1lMYAtwK7lVL2Odh/C9yolErFaJpLA+4G0Fr/qJT6P2Avxsi9+9wx8s4bliyYNjRWgtA5UEo5gkBrV/G1B7KiqiKKqosoriqmpLqE4upiiquN/ZLqEkprSimuLjaaG8uzKS0spbSmlNLqUmpbecuer8nXEaACfAII8Akg0BJIQFQAA7r6k2oOoL7OQnmVidIKE4XlkFOi+fFQPRV7zeh6C2gLgT7+xIWHkBAeRq+oMPpGh9MvJoJekWH4+fhKwOog3vBdIFoXlPporX+hlPq51nqFUup/gbPeP6S1Xk/z/UQtNlJqrf8M/LkVZeowF1qfjjgz50DWjbavXKq1prq+mtLqUspqyhpt5bXlxmNNOWW1ZVTUVlBeU05FbUWj/ZzyHEdaRW0FVXVVDc2QfkA0nP7Xlw6kV8L6dNuBExMWfJQvfmY//H18CfT1x9/sh6/ZF4vJgp/TvsVswdfk6zh2TreYnLbTjn1MPo5H533nNLMyN3refmw2mfFRPl4fPOW7wDu0JijZ7ygsVEoNBrKBBJeVyM06W5+OaB+lFH5mP/wC/IgM6LhO77r6Oqrqqqisq6Sy1rbVNTxW1RqBq6CijPTCYjKLijlZWsqpsjLyysopra6gVNWiVC3KVEugnybAT+NvqcLiU47ZXIfJVE+drqG6vprqumpq6muoqauhpr6GOjfcDuijjABlVmZHoLIf24Oa87FJmfBRxqNJmRxp9nz2/WYfW3i+2Q3jceTQUtbusQ9WMYFWWMxmxg6J5Z39uSilHK9ROO0r5TiHIw8mUDRKt79GoRz5mtt3frSnG/85HYPjfe15T89jT2v0Gtu5nfdPf7Q/ZzFZsPpaXf530eTvpBV5XlFKhQMLMFactQKPubRUbuSKKf+FaCuzyUygyajBnYvy6lqO5JZxONfos7JvaXlljhGBYCy+2DvaSu9oq6Pfqne0lSirD3XUUV1XTW19rSNo1dbXGsHLtm8/Pn3fHtjs6c77tfW11Opa6urrGh5teez56nW9I2+9rnfks+exP++8X6/rHcfO+3W6jvr6045tj1prR/56jMdG/x+imt4X/HGmsXU2w7oMY/mU5W5/X7fdPOsKF8LNs95CBltcmGrr6jmeX24EqdxSDueUcSi3lCM5pZRUNfSNWf186B0dZASsGHvQCqJnRBC+Phf2lDzNBiynYKYx0rXWjhql/Xk01OO0b0+35XF+rWMf3ehc9n2NNu7VdcrnOI/t9Y5H23499Y7XOL8HNKQ5B97mzmEvQ71tFnr78zGBMUyMn9hh17kjl67wA2ZgNNk5r6ckq89eIDw+FFa4jI/ZRK9oK72irUxySrfPvH4op5TDuaUczi3jUE4pG47ksXp7hiOf2aSIjwikV7SV3jFBDbWsaCuhgRfGOkT2ZjjhHVrTfPcBUARsxWlCVnHhWLT2QKM+NYCKmjoWrT0gQekCpZQiJsSfmBB/RveJavRcaVUtR2zNgEdswepQbmmjm4PBGMLeOzrICFjRQfSOMYJV97AAzCbvHtQgWubpVpPWBKU4rfUUl5dEeIwMhRXOrH4+pMSFkRIX1ii9tq6e9IIKI1idMpoCD+eW8umeLAqdZlj39TGRGBlE75ggekVZHY+9ooMI9vfu2pWnv5A9zRtaTVoTlP6jlErWWu92eWmER8hQWNEaPmYTCVFBJEQFAV0aPZdfVt1QuzpVxpHcUvZmFrP2x5PUOc3AHhPsRy9b35XRrBjkNbUrb/hC9jRvaDVpTVC6FJitlDqK0XynAK21luXQLxAyLN7Q2X8lt0dEkC8RQREMT4holF5dW8/x/DIO5ZRx5FSpY4TgRzszKa5sGGhhr131irZttppVr2hru5a5bwtv+EL2NG9oNWlNULrS5aUQHiXD4uVXsqv4+pjoExNMn5jG8wRqrY3a1akyDjvVrg5kl/DF3pON1reKsvo6glRilBGoEqOCiI8MxGLuuAEK3vCF7Gne0Gpy1qCktT6/14YQrdLZpzqSX8nupZQi0upHpNWPEafVrmpsw9iP5BqB6khuGUdPlfHlvpOcKm1YDdlsUvSMCKRXVONg1Ts66JzmC/SGL2RP84ZWE5lDXwDSdCW/kr2HxWxyDD0/ve+qqLzG0Qx49JSxHc4tZf2hU1TVNtyPE+RrJjE6iMQoK72iGpoEE6ICWxxs4Q1fyJ7mDa0mEpSENF0hv5LPF6GBFob2DGdoz/BG6fX1msyiCo6eKnMErCOnyth+vICPd2XiPEdAdLCfUbOy1bASbUHryuSuQOduxgbPt5pIUBLSdIX8Sj7fmUyKuPBA4sID+Vnf6EbPVdbU2ZoDSzl6qpyjtprWF3tPklfW0BxoUhAXHkifGCsTB3ahV3QQkVZfTuSXe8XowM5CgpKQpiu8o9lCuIa/xdzsooxgNAcezTP6rtJOlXE0zwheW9LyKatu+IHi62MiPiLQUbNKtA2N7xV1bv1XomUSlIQ0Xdl4utlCuF9ooIXUwDBSezS+Udg+DdORU2VGsDpVxuFco0lw3YHcRisJB/maiY8MMvqwIo1glRgVSGKUlfBAiwSsNpKgJKTpSojTOE/DNKpX4yVK6uo1mYUVjQJWWl4ZP2YU8dme7EY3C4f4+zhqVQmRDTWsxMggr5070NODniQoCWm6EqINzCZFj4hAekQEMq5f4/6rmrp6TuSXk5ZX5ui/SjtVzpa0Aj7c2XjARXigxRGgEhyBK5CEqCBCPDQdkzcMepKlK4QQwg0qa+o4kV/uqFkdPVVOmm0/q6iyUd7IIF/ibQEqMTKIeMdjoEsD1pinvm62KT82LIDv51/RrnN32NIVQggh2s/fYqZvl2D6NjPgoqLaGCF49FQZx/LsQauMDYfzWL0to1HeiCBfo0YVGUR8ZBAJUcZ+Qgc0CXrDoCcJSkIIwPN9CZ1ZgK+Z/l2D6d/1zAErLc8WtE6VN1n7CowmwfhIoxnQHrDibQGrNYMuvGHQkwQlIYRX9CWI5p0pYNnvwbI3A6bllXMsr4zNaQV8cFofVrC/j612ZdSsekbaa1iBjmHt3jDoSfqUhBAu7UsQnlFVW8eJ/ArSTpVxLL/c1ixoPKYXVDQaJRhgMRMfGUh8ZCA1dZptxwoorKghtgNrzNKnJIRoNW/oS/AGF1ITpp+PmT4xVvrEWJs8V1NXT2ahMS3T8fxyjuUZta3DucYwd+dZ2t1NgpIQwiv6EjytMzVhWswm4m0DJZyt2Z7B/Pd2OYKSJ65Bxy1GIoQ4b82d3J8Ai7lRWme7gfpMc0B2FovWHqDSabZ1cP81cFlQUkr1UEp9o5Tap5T6USn1oC09Qin1hVLqoO0x3JaulFJLlVKHlFK7lFIXuapsQojGpg2N5cnpycSGBaAw+pKenJ58wdUQzkSaML3jGriy+a4W+LXWeptSKhjYqpT6ApgNfKW1fkopNR+YD8zDWOG2r227GPi77VEI4Qadfe4/acL0jmvgspqS1jpLa73Ntl8C7ANigZ8DK2zZVgDTbPs/B97Qhh+AMKVUN1eVTwghnEkTpndcA7cMdFBKJQBDgY1AF611FhiBSykVY8sWC5xwelm6LS3rtHPNAeYA9OzZ06XlFkJ0HjIHpHdcA5cHJaWUFXgP+JXWuvgMdxQ390STcYla61eAV8C4T6mjyimEEJ29CRM8fw1cOvpOKWXBCEgrtdarbckn7c1ytsccW3o60MPp5XFApivLJ4QQwru4cvSdAv4B7NNa/8XpqQ+BWbb9WcAHTukzbaPwRgFF9mY+IYQQnYMrm+/GALcCu5VSO2xpvwWeAv5PKXUHcBz4he25T4CrgENAOXCbC8smhBDCC7ksKGmt19N8PxHA+Gbya+A+V5VHCCGE95MZHYQQQngNCUpCCCG8hgQlIYQQXkOCkhBCCK8hQUkIIYTXkKAkhBDCa0hQEkII4TUkKAkhhPAaEpSEEEJ4DbcsXSGEEOL8sGZ7xoW9dIUQQojzw5rtGTy6ejcVNXUAZBRW8Ojq3QBuC0zSfCeEEAIwFvezByS7ipo6Fq094LYySFASQggBQGZhRZvSXUGCkhBCCAC6hwW0Kd0VJCgJIYQAYO7k/gRYzI3SAixm5k7u77YyyEAHIYQQQMNgBhl9J4QQwitMGxrr1iB0Omm+E0II4TUkKAkhhPAaEpSEEEJ4DaW19nQZzplSKhc41oGnjAJOdeD5zkdyDeQadPbPD3INoOOvQbzWOvpsmc7roNTRlFJbtNbDPV0OT5JrINegs39+kGsAnrsG0nwnhBDCa0hQEkII4TUkKDX2iqcL4AXkGsg16OyfH+QagIeugfQpCSGE8BpSUxJCCOE1JCgJIYTwGp0yKCmlpiilDiilDiml5jfzvJ9S6h3b8xuVUgnuL6XrtOLzj1VKbVNK1SqlrvNEGV2tFdfgYaXUXqXULqXUV0qpeE+U05VacQ3uUUrtVkrtUEqtV0oN9EQ5Xels18Ap33VKKa2UuuCGibfi72C2UirX9newQyl1p0sLpLXuVBtgBg4DvQBfYCcw8LQ8/w28ZNu/AXjH0+V28+dPAFKAN4DrPF1mD12Dy4FA2/69F9LfQBuuQYjT/lTgM0+X293XwJYvGPgO+AEY7ulye+DvYDbwgrvK1BlrSiOBQ1rrI1rrauBt4Oen5fk5sMK2vwoYr5RSbiyjK53182ut07TWu4B6TxTQDVpzDb7RWpfbDn8A4txcRldrzTUodjoMAi60UVGt+S4A+CPwDFDpzsK5SWuvgdt0xqAUC5xwOk63pTWbR2tdCxQBkW4pneu15vNf6Np6De4APnVpidyvVddAKXWfUuowxpfyL91UNnc56zVQSg0FemitP3Znwdyotf8WZtiaslcppXq4skCdMSg1V+M5/Rdga/Kcry7kz9Zarb4GSqlbgOHAIpeWyP1adQ201n/TWvcG5gG/c3mp3OuM10ApZQKeB37tthK5X2v+Dj4CErTWKcCXNLQiuURnDErpgHOkjwMyW8qjlPIBQoF8t5TO9Vrz+S90rboGSqkJwP8AU7XWVW4qm7u09e/gbWCaS0vkfme7BsHAYGCdUioNGAV8eIENdjjr34HWOs/p7/9VYJgrC9QZg9JmoK9SKlEp5YsxkOHD0/J8CMyy7V8HfK1tPX4XgNZ8/gvdWa+BrdnmZYyAlOOBMrpaa65BX6fDq4GDbiyfO5zxGmiti7TWUVrrBK11Akbf4lSt9RbPFNclWvN30M3pcCqwz5UF6nTLoWuta5VS9wNrMUaevK61/lEp9Qdgi9b6Q+AfwJtKqUMYNaQbPFfijtWaz6+UGgG8D4QD/08p9Xut9SAPFrtDtfJvYBFgBd61jXE5rrWe6rFCd7BWXoP7bbXFGqCAhh9qF4RWXoMLWiuvwS+VUlOBWozvw9muLJNMMySEEMJrdMbmOyGEEF5KgpIQQgivIUFJCCGE15CgJIQQwmtIUBJCCOE1JCgJ0QZKqTCl1H87HXdXSq1y0XtNU0o91oHne1YpdUVHnU8IV5Ah4UK0gW0Zk4+11oPd8F7/wbhZ81QHnS8eeFVrPakjzieEK0hNSYi2eQrobVtXZpFSKkEptQcc686sUUp9pJQ6qpS637Yu03al1A9KqQhbvt5Kqc+UUluVUv9WSg04/U2UUv2AKntAUkr9Qim1Rym1Uyn1nS3NbCvDZttkmXc7vf4R21pIO5VSTwForY8BkUqpri6/SkKco043o4MQ7TQfGKy1TgVHzcnZYGAo4A8cAuZprYcqpZ4HZgKLgVeAe7TWB5VSFwMvAqc3q40BtjkdPwZM1lpnKKXCbGl3AEVa6xFKKT/ge6XU58AAjHnqLtZal9uDoc0227nfO+crIIQLSVASomN9o7UuAUqUUkUYMywD7AZSlFJWYDQN0xcB+DVznm5ArtPx98BypdT/AattaZNs57SvDhwK9AUmAMvs60FprZ0nE84Burfj8wnhUhKUhOhYzrOJ1zsd12P8ezMBhfaa1hlUYAQZALTW99hqVVcDO5RSqRjLDjygtV7r/EKl1BRaXo7E33ZuIbyS9CkJ0TYlGEsanBPbaq5HlVK/AFCGIc1k3Qf0sR8opXprrTdqrR8DTmEsN7AWuFcpZbHl6aeUCgI+B25XSgXa0p2b7/oBe861/EK4mgQlIdpAa52H0XezRyl1rgv/3QzcoZTaCfxI88tPfwcMVQ1tfItsAxf22J7bCbwG7AW22dJfBny01p9hLD+wRSm1A/gNgC149QEupKUXxAVGhoQL4aWUUkuAj7TWX3bQ+a4FLtJaL+iI8wnhClJTEsJ7PQEEduD5fIDnOvB8QnQ4qSkJIYTwGlJTEkII4TUkKAkhhPAaEpSEEEJ4DQlKQgghvIYEJSGEEF5DgpIQQgivIUFJCCGE15CgJIQQwmtIUBJCCOE1JCgJIYTwGhKUhBBCeA0JSkIIIbzGeb3ybFRUlE5ISPB0MYQQQpzF1q1bT2mto8+W77wOSgkJCWzZIuuVCSGEt1NKHWtNPmm+E0II4TUkKAkhhPAaEpSEEEJ4jfO6T0mIC1lNTQ3p6elUVlZ6uihCtJq/vz9xcXFYLJZzer0EJWDN9gwWrT1AZmEF3cMCmDu5P9OGxnq6WKKTS09PJzg4mISEBJRSni6OEGeltSYvL4/09HQSExPP6RydvvluzfYMHl29m4zCCjSQUVjBo6t3s2Z7hqeLJjq5yspKIiMjJSCJ84ZSisjIyHbV7jt9UFq09gAVNXWN0ipq6li09oCHSiREAwlI4nzT3r/ZTh+UMgsr2pQuhBDCdTwSlJRSaUqp3UqpHUqpLba0CKXUF0qpg7bHcHeUpXtYQJvShehMli5dSlJSEjfffPMZ81mtVgDS0tIYPHiwy8tlf7/25hHex5M1pcu11qla6+G24/nAV1rrvsBXtmOXmzu5PwEWc6O0AIuZuZP7u+PthfBqL774Ip988gkrV670dFFEJ+FNzXc/B1bY9poP7cwAACAASURBVFcA09zxptOGxvLk9GRiwwJQQGxYAE9OT5bRd6LTu+eeezhy5AhTp07l+eefZ+HChTz77LOO5wcPHkxaWlqrzrVu3TrGjRvHf/3Xf9GvXz/mz5/PypUrGTlyJMnJyRw+fBiAY8eOMX78eFJSUhg/fjzHjx8H4OjRo1xyySWMGDGCBQsWNDr3okWLGDFiBCkpKTz++OMd8+GFx3hqSLgGPldKaeBlrfUrQBetdRaA1jpLKRXjrsJMGxorQUh4t1/9Cnbs6NhzpqbC4sUtPv3SSy/x2Wef8c033xAVFcXChQvb9XY7d+5k3759RERE0KtXL+688042bdrEkiVL+Otf/8rixYu5//77mTlzJrNmzeL111/nl7/8JWvWrOHBBx/k3nvvZebMmfztb39znPPzzz/n4MGDbNq0Ca01U6dO5bvvvmPs2LHtKqvwHE/VlMZorS8CrgTuU0q1+i9IKTVHKbVFKbUlNze3QwqzZnsGY576msT5/2LMU1/LcHAhXGDEiBF069YNPz8/evfuzaRJkwBITk521Lg2bNjATTfdBMCtt97K+vXrAfj++++58cYbHel2n3/+OZ9//jlDhw7loosuYv/+/Rw8eNCNn0p0NI/UlLTWmbbHHKXU+8BI4KRSqputltQNyGnhta8ArwAMHz5ct7cs9vuU7MPC7fcpAVJ7Et7jDDUad/Hx8aG+vt5x3NZ7Ufz8/Bz7JpPJcWwymaitrW32Nc7Di5sbaqy15tFHH+Xuu+9uU1mE93J7TUkpFaSUCrbvA5OAPcCHwCxbtlnAB+4oj9ynJETrJCQksG3bNgC2bdvG0aNHO/w9Ro8ezdtvvw3AypUrufTSSwEYM2ZMo3S7yZMn8/rrr1NaWgpARkYGOTnN/p4V5wlPNN91AdYrpXYCm4B/aa0/A54CJiqlDgITbccuJ/cpCdE6M2bMID8/n9TUVP7+97/Tr1+/Dn+PpUuXsmzZMlJSUnjzzTdZsmQJAEuWLOFvf/sbI0aMoKioyJF/0qRJ3HTTTVxyySUkJydz3XXXUVJS0uHlEu6jtG53C5jHDB8+XLd3kb8xT31Nhi0A6bpalNlo0YwNC+D7+Ve0u4xCnKt9+/aRlJTk6WII0WbN/e0qpbY63QLUIm8aEu4R9vuUJn2zjKwlN1CRtlPuUxJCCA/p9LOETxsai6qpYe9fv6OmphLTB09y3+vvyiAHIYTwgE5fUwL4+cgEzP/8mt9eewf1laXMu+Vqbpk6lcLCQre8vwxJF0IIgwQl4L2t6fzjhxOs7Hct3e96kd5mCys/+ogbxowBF/e5ydIZQgjRoNMHpTXbM5i/ehdVtcb9FwURPSl+8B1+1iuFJ/fuhalTObVvH64aECJD0oUQokGnD0q//+hHaur+P3v3HV/z9T9w/HUykEiISJCBJMiSJQRBiT2qVmhLWiXqq1NLq7Sl1fq1paqq1VapEaNo7VFFSyi1CTEbJMgwsmWQdX5/JLlNZMuUnOfjcR/u5/M599xzP48r73vO53zO+5GAo63DzRGfM2v6b5w+cR4bR0d6uLjkunGwrKgp6YqiKP+p8UEpJim1wGPXdevx7Oh56Bsa43/+PP2aNiX8Stn2YFTqDKW6W7FiBW+88UaRZcLDwzXbL7/8MhcvXizvpilVUI0PSoX5c3I3BrSxpvarftj3/R8HIyKwdXBgXP/+ZTacp1JnKEreoPTzzz/j6OhYiS1SKkuND0pGeroF7jcxqM23I9uwYmx7jL2ew9j3e9J0arHyjz+IHjcOspY2KQ2VOkOpyoYMGULbtm1p3bo1ixcvBjKT53344Ye4urrSsWNH7ty5A8D27dvp0KEDbdq0oVevXpr92e7fv4+1tTWpqZmjE/Hx8VhZWfHbb79x8uRJfHx8cHNzIzk5GS8vL7JvjP/jjz9wd3fH1dWVnj17VuCnVypDjb9Paeag1kz57SypGf/1fHS1BDMHtdZsd7dvxJ5JXZm/twk/N1hLnYjLHDq2h3YODmz19ua1Ui6WqVJnKEX5ZPsFLobHl2mdjub1+PiZ1oWWWbZsGcbGxiQnJ+Ph4YG3tzeJiYl07NiRzz77jPfee48lS5Ywffp0unTpwtGjRxFC8PPPP/Pll18yb948TV2GhoZ4eXmxc+dOhgwZwrp16/D29mbEiBF8//33fPXVV7Rrl/uG/3v37jF+/HgOHjyItbU10dHRZXoOlKqnxveUhrSxYO4I11w9lbkjXPMEibq1dZg+0JEdb/fAtuNTvPXMu7in1eb1BQt4tXVrkh/5Vago1cG3336r6RHdunWLoKAgatWqxcCBAwFo27atJu1EaGgoffv2xdnZmblz53LhwoU89b388sssX74cgOXLlzN27NhC3//o0aN07doVa2trAIyNjcvw0ylVUY3vKUHJeipOFvXZ/Fpn1hy7wRfpn5G49RsWXTzKPsumzJv+IQNV5kulHBTVoykP/v7+/Pnnnxw5cgR9fX28vLx48OABurq6mjQS2tramrQTb775JpMnT2bQoEH4+/vnmxSwc+fOhISEcODAAdLT03Fyciq0DVLKfFNWKNVXje8pQclXVNDWEoz2tOLAjMG8/OkPNHru/wjWrcMzM2cyoVUrKGHyQbWig1IVxcXF0aBBA/T19bl8+TJHjx4tsryFReaPOz8/vwLLjR49mpEjR+bqJRkaGua7urenpycHDhzQpMlQw3fVX40PSqVZUaFRvTp883wbNn82AY9JP6FrasX1xh7caN+N9BUrirUahFrRQamq+vXrR1paGi4uLsyYMYOOHTsWWn7mzJmMGDGCp556ChMTkwLL+fj4EBMTo8kkCzBmzBheeeUVzUSHbKampixevJhhw4bh6urKc889V/oPplRpKnVFjtQVOZU0dUVKWgZ+/4TwzZ7LpCQnc2/haNzq1mHHvr8wcHMr9/dXqp/qmrpiw4YNbN26lVWrVlV2U5RyolJXlEJZrahQS0eL8V1t2PdeD3o6mJCgX48DMdHYtO/IrhdHw8OH5fr+ivIkePPNN5k2bRozZsyo7KYoVVSND0plvaJC43p1WPRyN/45fR7PN74ltl4jBqxehX0DE8LWry/391eUquy7777j6tWr5ZK1VqkeanxQKq8VFdpbN+TvBW/w85a/0Gtsw5UHSUxfuJ27L/hCRES5v7+iKMqTqNKCkhBCWwhxRgixI2vbWghxTAgRJIRYL4SoVRHtKM8VFbS1BKO7tCIi+DLvLt7Foc7P0bW+F3aObTj01iRITVUrOiiKouRQaRMdhBCTgXZAPSnlQCHEr8AmKeU6IcQi4KyU8sfC6iiLiQ4VKTgykRfenM4/674BIRjczJ6V382h3jPPVHbTlCqouk50UKq/J26igxDCEnga+DlrWwA9gA1ZRfyAIZXRtvJkbVKXw2vns3TTXpq692brjUuYDH+eqR28kNevV3bzFEVRKl1lDd99A7wHZCcoagjESinTsrZDgXzHr4QQ/xNCnBRCnLxXwptUqwrfob0IOf4HM75ZQWpqMl+eOszoST9xdfpnkJhY2c1TFEWpNBUelIQQA4G7UspTOXfnUzTfcUUp5WIpZTspZTtTU9NyaWNF0NISfPrWS5wJOMdbM7/njJ0n3e81op1LV658uwjKIaGgopTUt99+i4ODAz4+PoWWMzAwACAkJKTIpYPKQvb7PW6ZkJAQhBB89913mn1vvPEGK1asKLTOmTNnYmFhgZubm+YRGxtb7HYrRauMte86A4OEEAOAOkA9MntORkIInazekiUQXkgd1YabixPfuDgRlfAQT89unLp+Gsep7zF45RZ+/mIqxr27V0g7tpwJY+7uK4THJmNupMeUvnZqsoXCDz/8wK5duzQLolYnjRo1YsGCBUyYMIFatYo/r2rSpEm8++675diymq3Ce0pSyvellJZSSivgeWCflNIH2A8Mzyr2ErC1ottWmRoa1ObUP3v54utvadLEks2ndtNk+PNM7Dea5IuXy/W91VJHTwYvLy/NL/nU1FS8vLxYvXo1AElJSXh5ebE+6164uLg4vLy82LRpEwCRkZF4eXmxfft2AG7fvl3k+73yyitcv36dQYMGMX/+fGbOnMlXX32lOe7k5KRZIbwo/v7+dOvWjWeffRZbW1umTZvGmjVraN++Pc7Ozly7dg2AGzdu0LNnT1xcXOjZsyc3b94EIDg4GE9PTzw8PPLceDt37lw8PDxwcXHh4xIsiGxqakrPnj3zXadvyZIleHh44Orqire3N0lJSYXW9fXXX+Pr6wtAYGAgTk5OJCUlMXPmTF588UV69OhBq1atWLJkSbHbV1NVpfuUpgKThRBXybzGtLSS21PhDA0NmTbpTUKvX+Dtdz8gNf4u3x/cxlMLj7Jq0pekRBT9h+RxzN19heTU9Fz7klPTmbu7bFO/K0+WRYsWYW5uzv79+5k0aVKp6zt79iwLFiwgMDCQVatW8e+//3L8+HFefvllzTDaG2+8wejRozl37hw+Pj5MnDgRgLfeeotXX32VEydO0KRJE02de/bsISgoiOPHjxMQEMCpU6c4ePBgsds0bdo05s2bR3p67u//sGHDOHHiBGfPnsXBwYGlS//7czR//nzN0F337pkjGW+//TZXr15l8+bNjB07lp9++gl9fX0Azp07x86dOzly5Aiffvpprgy7Sl6VmrpCSukP+Gc9vw60r8z2VBVCCL7+8v/o3KEND1JrsfVULFPuaDGl10g+G9Cflz56FR1DwzJ7P7XU0ZPB399f81xXVzfXtr6+fq7t+vXr59o2MTHJtZ3zD3tF8fDwwMzMDIAWLVrQp08fAJydndm/fz8AR44c0fTuXnzxRd577z0ADh8+zMaNGzX7p06dCmQGpT179tCmTRsAEhISCAoKomvXrsVqk7W1Ne3bt+eXX37Jtf/8+fNMnz6d2NhYEhIS6Nu3r+ZYfsN3WlparFixAhcXFyZMmEDnzp01xwYPHoyenh56enp0796d48ePM2RItZtcXGZKHZSEEA2ApjnrklKeLm29NZ0QguHDM0czfZ6XtLBpRXDINcZfPc7nfx/ji8H98Z48Gu3apb/H2NxIL99FYdVSR0pOOjo6ZOSYgPPgwYMSvb527dqa51paWpptLS0tTU6mR+XMpZRfXiUpJe+//z4TJkwoUVty+uCDDxg+fHiuQDZmzBi2bNmCq6srK1asyBXQCxIUFISBgUGentCj7Vb5oQpXquE7IcQs4BzwLTAv6/FVoS9S8igqn5IQgn+OHGLVqlV4OLlw/dgmRn46Cac+L7P9h1/JSEsvoObiUUsdKcVhZWXF6dOZvzdPnz6tyXFUljp16sS6desAWLNmDV26dAEykwPm3J+tb9++LFu2jISEBADCwsK4e/duid7T3t4eR0dHduzYodl3//59zMzMSE1NzfV+BYmLi+Ott97i4MGDREVFsWHDBs2xrVu38uDBA6KiovD398fDw6NE7atpSntN6VmghZTSS0rZPeuh8i2UQHEnGTRp0oQXXniBY6eOMPuL2WQ8SODW+X28cUOf/m+tYMfy7WSkP940crXUkVIc3t7eREdH4+bmxo8//lgui6p+++23LF++HBcXF1atWsWCBQsAWLBgAd9//z0eHh7ExcVpyvfp04dRo0bh6emJs7Mzw4cPzzdZYFE+/PBDQkNDNduzZs2iQ4cO9O7dG3t7+1xlc15TcnNzIyQkhEmTJvHaa69ha2vL0qVLmTZtmiY4tm/fnqeffpqOHTsyY8YMzM3NH+fU1BilWmZICLEReFVKWbKfJmXkSVtmKD+Pk09JSsmBAwdwsHfg6MaDvL9xF1cvHMC503A+9u7B0yN7o61dleawKI9DLTP05Js5cyYGBgY1bgp5ZS4z9AVwRgixWwixLftRyjprlMeZZCCEwMvLi8ZNGjP49RGIO8eQUTc4veVLnpvxPu1HfsKmNXtJe8yek6IoSmUp7UQHP2AOEMh/SwYpJVAWkwxOnjzJzZs32b5lC7Nmfcbp3z7F54QbHscm8aqHGcNG9qC2jnbRFSlKNRMYGMiLL76Ya1/t2rU5duxYhbz/zJkzK+R9qpPSBqVIKeW3ZdKSGmpKXzve3xSY6z6hkk4y0NPTw87ODrupU2nt4sLgwYNpX08Ho6R43r/QkDn/+543n7Jn5Kju6NfWLY+PoShVkrOzMwEBAZXdDKUEShuUTgkhvgC2AZp832pKePFlTyYoqyV++vfvz927dzEyMkImJTG05wC2Hj3Am4c6MmffWV7r7MRLL/SggUHtoitTFEWpYKUNSm2y/u2YY58kMw2FUkxD2liU6Uw3IyMjAIS+Pk3bOeN8P5Lga2cJCjrK+/+045tDgYxtZ8/Lo3tiYVy3zN5XURSltEoVlKSUFbNaqPLYvvvuO6SUxMXF8fmsWcz9+mvCbgTg13AVK2f/xaAGafzvBS+uRCarBVkVRal0pQpKQoiP8tsvpfy0NPUqZUsIgZGREZPefZc7kZH0692brunw9a+7WHL1LL+cDqSFSTMi9Y2QurU090oBKjApilKhSjslPDHHIx3oD1iVsk6lnJiZmeHn58fIF17A4qXnCa0bRULQUe5umEnAbzOJCTqC8f1I9B8mqQVZFUDlU3pUznxKTk5ObNuW+w4YV1dXRo4cWWTblIKVKihJKefleHwGeFFAxlil6pn39desXbuWhgPeRif1AZHb53JxxVvEJURj8DCJxIg7RCY8LLoipdr64Ycf+P3334u11M6TJjufUkpKSoleN2nSJAICAvjtt9/w9fXVrAd46dIlMjIyOHjwIIkqg/RjK+tVwvUBmzKuUyknlpaWPPfcc3wbbMqNFh4kLBqHtm4dxv97hOuNrNhTuy7tp67D29GcsUPb42hev7KbXKN5eXnl2ffss8/y2muvkZSUxIABA/IcHzNmDGPGjCEyMlKzwG+2ohYZzZlPydfXl7i4uFyrEzg5ObFjxw6srKyKbLu/vz8ff/wxjRs3JiAggGHDhuHs7MyCBQtITk5my5YttGjRghs3buDr68u9e/cwNTVl+fLlNGvWjODgYEaNGkVaWhr9+vXLVffcuXP59ddfefjwIUOHDuWTTz4psj2QmU+pc+fO+Pn5MX78+FzHlixZwuLFi0lJSaFly5asWrVKk4oim4ODAzo6OkRGRtKoUSN++eUXXnzxRS5dusS2bdtUj+kxlXZB1kAhxLmsxwXgCrCgbJqmVJQpfe0wrG+M5esraTj2O1Z4jiBAphK1dho3f/RlyaI59ProF56btZU/AkLVShE1hMqnlH8+pWzHjh1DS0sLU1NTANavX89zzz3HyJEjWbt2bYnPj5KptD2lgTmepwF3stKZK0+Q/O6V6t3TiR0hbWjj7MyaNWuIO/8Xuy0cOBj0MjYW1rzwVAue62aPcd3Sp85Qiqewns2j+ZQe9Wg+pcpQXfIpzZ8/n9WrV2NoaMj69esRQnDixAlMTU1p3rw5lpaW+Pr6EhMTQ4MGDR7rXNVkpZ0SfkMIoQ00zqrLXAiBlPJmmbROqTD53Ss189XM4Ycv5s7Fzc2Nu7f/5d3gP7mQ2oXPk1OYt/cyg+1NGT2gDa5NjSqj2UoFUvmUMuWX5G/t2rVcvnxZM5QZHx/Pxo0befnllx+7XTVVaYfv3gTuAHuBnVmPHUW8po4Q4rgQ4qwQ4oIQ4pOs/dZCiGNCiCAhxHohhPoJXkWYmJiwdetWtmzbxgcHdrB62tPUXf0mt757gRWLv2bAZxsZ9Ok2fj0aQnJK6XI7KVWXyqeUv4yMDH777TfOnTtHSEgIISEhbN26VQ3hPabSDt+9BdhJKaNK8JqHQA8pZYIQQhc4JITYBUwG5ksp1wkhFgHjgB9L2T6ljLRt21bz/KKuLhGpD/Fo586xE78Tc3oHhy0cOHb+ef7PxhVvNzN8ejjQslHZpWxXKp+3tzcrV67Ezc0NDw+Pcsun5Ovry9y5czUTHSAzn9KoUaNYsGAB3t7emvJ9+vTh0qVLeHp6ApnTwFevXk2jRo1K9L4ffvihZggQ/sun1Lx5c5ydnQvN0XTw4EEsLCywsPhvpKFr165cvHiRiIgIzZClUjylzae0H+j9uNeRhBD6wCHgVTJ7WU2klGlCCE9gppSyb2Gvrw75lJ5UycnJ6OrqcufOHV4eN47de/bQ1awZzu2e5Q/bTjxMfUjHJoaM6uNMP2dz6uiqVcpLSuVTUp5UpcmnVNqe0nXAXwixk9wLsn5d2IuyrkOdAloC3wPXgNgcwS2UAu53EkL8D/gfQLNmzUrZfOVx6ellptawsLDg01mzcHZxYcqUKZjGx/PBGF++PHwI/xYeHDw/jMaWtgxzt2RkNztsG6vek6IoBSttULqZ9aiV9SgWKWU64CaEMAI2A/n9HMy3CyelXAwshsyeUkkbrJQ9Dw8PPDw8AJAmJmyOvEuz5s2ICjtH/JpjPDQwZqHHEJYe7U8707o839ORp10tqFu7rG+TU5TcKjufklJypZ19V7y71Ap+fawQwp/MVcaNhBA6Wb0lSyC8NHUrlUMIwblz54iJiaFu3bosXryYd995B52Dfkx/eJ9tjj14JyyKmXUNeaZ1Y57tZot7swb5zqxSlNJS+ZSePBX+U1UIYQqkZgUkPaAXmdlr9wPDgXXAS8DWim6bUjZ0dXU1F5p9fHy4ffs2/fv3x6tDB3p8s4DuMydxX7sWy90HsuZYH2xNGzLiKVuGeTSjcb06ldx6RVEqU2WMn5gBflnXlbSAX6WUO4QQF4F1Qoj/A84AeW+hVp44jRo1Ys6cOZrt/XX1iZfptLNvwZHDvyAO/0KamS2f/DuWuXuceMpcj+FeDvR2bKwmRyhKDVSq2XeVTc2+ezJFRUXRsGFDrl69yoABAwi+fp3P23qipWfDOpt2hKan0dDMhmeczfDu3JK2zWvm8J6afac8qSp89p0Q4jsKmIgAIKWc+Dj1KjVDw4YNAWjZsiU//PADd+7c4dlnn0UnNpaVbm7cDg8npa4xS936sepwb6xNGjK0ow1D21thbaIy5SpKdfa4KzqcJHNKd0EPRSmWXr164ePjg66uLnG6uuiameHj40NrOyvuHf6FsB/H8u+iiXz31790/8qfwV/sYtnf17l7v2RL3NQEW86E0Xn2Pqyn7aTz7H1sORNWJvVu3rwZIQSXL18uk/oAFi5cSMuWLRFCEBkZWWhZKSUTJ06kZcuWuLi4aFaVeJSXlxd2dna4ubllLotVwMoOqampuW4GnzBhAocPH85VZubMmejr6+eqIzs/061bt+jevTsODg60bt2aBQv+W4N6ypQp2Nvb4+LiwtChQ4mNjS3wcyUlJeHj44OzszNOTk506dJFszKFtra25nO4ubkREhICwLlz5/D09KR169Y4Ozvnu9RTzpxPbm5u/P777wCkpKQwduxYnJ2dcXV1LXAtxBUrVhAeXvQ8s88//7zIMo9FSlnqB2AIGJRFXSV5tG3bVirVT0ZGhpRSykWLFklA9mvXTt4e8z/5XUdv2cqtvzQd8oFsPnmjfGH+XvnriZsyLjmlkltcPi5evFjssptPh0r76btk86k7NA/76bvk5tOhpW7HiBEjZJcuXeTHH39c4tempaXlu//06dMyODhYNm/eXN67d6/QOnbu3Cn79esnMzIy5JEjR2T79u3zLdetWzd54sSJItu0b98++cYbb2i2XV1d87Tz448/lk2bNpXvvfeeZl/dunWllFKGh4fLU6dOSSmljI+Pl61atZIXLlyQUkq5e/dumZqaKqWU8r333sv1+kd9/vnnctKkSZrty5cvywcPHuR6r5xSU1Ols7OzDAgIkFJKGRkZme/5/fjjj+XcuXPz7F+4cKEcM2aMlFLKO3fuSHd3d5menp6nXHHPY35tzJbfdxc4KYvxd720a985CSHOAOeBi0KIU0KI1qWOlEqNln39aPz48Rw4cIDtR47QePlPxPVpzbWzf3Bvy+fcWfA8e3/8mDe+XE7bj3YyYdEBdpwLr7Fr783dfYXk1NyfvSyyByckJHD48GGWLl2qWXsOMlcs79q1K0OHDsXR0ZFXXnlFs1irgYEBH330ER06dODIkSP51tumTZti5WEC2Lp1K6NHj0YIQceOHYmNjSUiIuKxP9Mff/xB//79gcxrH7a2tmhr551U4+vry/r164mOjs6138zMDHd3dwAMDQ1xcHAgLCyzV9qnTx90dDKvinTs2JHQ0NAC2xEREZFraSI7O7tci9Y+as+ePbi4uODq6gpkDoPn1+6CXLx4kZ49ewKZE5CMjIx49Jr8hg0bOHnyJD4+Pri5uREXF4ednR1XrmR+j0aOHMmSJUuYNm0aycnJuLm5FZmVuKRKmw59MTBZStlcStkMeAdYUvpmKUrm6tFdu3bV/Cfv5OXFlPfeY+/evTw/wpvY68e5+9vHWG+ew+nzN3l91Qncp29n4tJD7L5wmwepNSdAhccml2h/cW3ZsoV+/fpha2uLsbFxrqGz48ePM2/ePAIDA7l27Zom5URiYiJOTk4cO3ZMs6BqaYSFhdG0aVPNtqWlpSYIPGrs2LG4ubkxa9as7FGcPPbv369JmLhr1648SQOzGRgY4Ovrm2t47lEhISGcOXOGDh065Dm2bNkyTfDLj6+vL3PmzMHT05Pp06cTFBSkOZb9B9/NzY2hQ4cC8O+//yKEoG/fvri7u/Pll18WWPfChQtxcXHRpNCAzFTtW7duJS0tjeDgYE6dOsWtW7dyvW748OG0a9eONWvWEBAQQP369Vm4cCFjxoxh3bp1xMTEMH78eGbPno2enh4BAQFlnpW4tFPC60op92dvSCn9hRDqSrRSLrp370737t2BzGtRKVpaREREsHz2bJocOMjQbz7iz3u3WWv/FL/+1YOGTe3oY9eIAR1b8lQrk2o9xdzcSI+wfAKQuZFeqepdu3Ytb7/9NgDPP/88a9eu1fQS2rdvj41NZqLp9tDg/gAAIABJREFUkSNHcujQIYYPH462tnauRVNLK7/gkt9szDVr1mBhYcH9+/fx9vZm1apVjB49OleZ8PBwjI2NNVlkd+/erVn0NT8TJ07Ezc2Nd955J8+xhIQEvL29+eabb6hXr16uY5999hk6OjqF9iLc3Ny4fv06e/bs4c8//8TDw4MjR47g4OCg+YOfU1paGocOHeLEiRPo6+vTs2dP2rZtq+n9ZHv11VeZMWMGQghmzJjBO++8w7Jly/D19eXSpUu0a9eO5s2b06lTJ80PvsL07t2b3377jddff52zZ88WWb60Sr32nRBiBrAqa/sFoOzXs1eUfKxZswYpJUII4uzs2PXB+7Rq3pzgS/t5ELiXON06rLTvwqY+r2Goq03PlsYM6NiSbram+QaoLWfCciU6nNLXLk+OqapqSl873t8UmGsIT09Xmyl97R67zqioKPbt28f58+cRQpCeno4QQvML/dHAkL1dp06dEg0rFcXS0jLXL/rQ0FDMzc3zlMseCjM0NGTUqFEcP348T1DatWuXJmFfUlISsbGx+daVzcjIiFGjRvHDDz/k2p+amoq3tzc+Pj4MGzYs1zE/Pz927NjBX3/9VeStDAYGBgwbNoxhw4ahpaXF77//XuBtAJaWlnTr1g0TExMABgwYwOnTp/MEpcaNG2uejx8/noEDM3Ox6ujoMH/+fM2xTp060apVq0LbB5mpOS5duoSenh7R0dFYWloW+ZrSKO3wnS9gCmwicw07U2BsaRulKMWV/Z++fv36REREcODIEe7FxDBr1iwepD6gXugp/AJ+of/p3Wxas4LRMxfh+v5WXlt0gG1nw0l4mLkG8JYzYby/KZCw2GQkEBabzPubAstsBlt5G9LGgi+GOWNhpIcALIz0+GKYc6mC6oYNGxg9ejQ3btwgJCSEW7duYW1tzaFDh4DM4bvg4GAyMjJYv359mQzV5WfQoEGsXLkSKSVHjx6lfv36edJBpKWlaWbxpaamsmPHDpycnPLUlfN60v79+zU978JMnjyZn376SZOIUErJuHHjcHBwYPLkyXnqnzNnDtu2bdP0xgpy+PBhzdBaSkoKFy9epHnz5gWW79u3L+fOnSMpKYm0tDQOHDiAo6NjnnI5r7dt3rxZcx6SkpJITEwEYO/evejo6OT7ekNDw1ypOubPn4+DgwNr167F19eX1NRUIHPlluznZao4syGq6kPNvlMKEhMTI5cuXSqjo6OllFIunzNHagshAVlLW1c2aNlBmgx6T9q8vU6O/WavdJ35R66Za9mPTl/8VWmfoSSz78pDt27d5K5du3LtW7BggXzllVfk/v37Zffu3eWzzz4rHRwc5IQJEzQzuQqblZWzHgsLC6mtrS3NzMzkuHHjCiybkZEhX3vtNWljYyOdnJxyzQxzdXWVUkqZkJAg3d3dpbOzs3R0dJQTJ07MMzMtLS1NU15KKV9//XW5f//+fN/z0RlskyZNkpl/LqX8+++/JSCdnZ2lq6urdHV1lTt37pRSStmiRQtpaWmp2T9hwoQCP5efn590dnaWTk5O0tHRUU6ZMkUz87Sgc7hq1Srp6OgoW7duLadMmaLZP27cOM15eeGFF6STk5N0dnaWzzzzjAwPD5dSShkcHCxtbW2lvb297NmzpwwJCcn39Rs2bJC2trbS1dVVBgQESHt7exkfH685Dx999JGUMnN2ob29vRw1alSedpZm9l1p8ym1Az4ArMgxFCildClVpCwmtaKDUlwHDx7Ez88Pb29vtqxezS8bN5KYkoJnUyfE05MINTQhIyEao1p6JNTSR2plDiIIIHj205XS5qq8ooO/vz9fffVVrmytVd2hQ4dYvXo1ixYtAsDd3Z1jx46hq6tbyS2rfiozn9IaYAoQCGSUsi5FKTddu3ala9euQOZYvMUnn3DgwAEWf/EFLc5fwGvamxyMvEl8w6YIh67ot2yPcb3G6BrU5eytWJwt6qOlVfOWOqpOunTpkmuIsaCbcJXKVdqe0iEpZfkMJBeD6ikpZUFKiY2DE3fjUjFMSeJudBgSqF27LqYvzkO7oSWmWmn0sjWhZ/uWdG5pgl6t8p/JV5V7SsU1dOhQgoNzz32aM2eOZrJBTsuXL88z/bpz5858//335drG8rZ7926mTp2aa5+1tTWbN2+upBaVv9L0lEoblHoCI4G/yJ15dtNjV1oCKigpZem348F8sy+YkKtXCF/2Bq2aWnF4+HD2Bdxg6oWTRNbSo5ZdZ+rbuNPdthndO9rSo7UZFqWcdl2QS5cuYW9vXyMXo1WeXFJKLl++XGlBaTVgD1zgv+E7KaX0fexKS0AFJaW8xMfHI6Wkfv367Nu3j549e2JWrx4R8fEA1KprjJ5rX4ye8sGudhrdnS3o0dYG92ZG6GiXdlJrpuDgYAwNDWnYsKEKTMoTQUpJVFQU9+/fx9raOtexigpKgVJK58euoJRUUFLKUkH3KWVkZBAQEIC9vT1hYWF88N57bNiyhb5WLRjWogs79E3Zd+Ufalm2pqG1C71at6R7J3u6OTQpVdLC1NRUQkND8110U1Gqqjp16mBpaZlnAklFBaUlwHwp5cXHrqQUVFBSysqWM2FM2XCW1PT//j/oagvmDnfNc69PbGwsBw8eZODAgWgJwYQRI1iycaMml4uuvhG1rN0xdH8a1+bWdHM0o5tHS9paNaC2TvVdVUJRClNRQekS0ILMVRwekjmDVqop4cqTps2ne4hJynsjYAN9Xc581KfQ1/77778EBgbStm1b9mzdyoyPPyYyPp4xzt1IcuyNf1oKSTcDMbJ2pVvr1vTo5MhTLk2xMamrhuWUGqOiglK+tx9LKW8U8pqmwEqgCZnXoRZLKRcIIYyB9WTe8xQCPCuljCns/VVQUsqK1bSdBR4LKeF9SocOHSIqKor+/fpRKzgY03btiEpMRAJa2rroNLZBr4UHrdr0okerJnTuaE9n+yY0NCh4hWhFedJVyH1KhQWfQqQB70gpTwshDIFTQoi9wBjgLynlbCHENGAaMLWQehSlSsp5L4y0s+PnNWuoU6cO6Q8e8LufH99v3kxq+BWc6jfid2rx028fIbS0cbSxp19Hd57q4kT7Fibo1yrtbYSK8uSp8G+9lDICiMh6fj9rCNACGAx4ZRXzA/xRQUmpIEZ6usQm5x2+M9Ir3d3+QggGDx6s2e7epw9dt2+nadOmeDo4EODnR5tvVwLwjz8cXaOPrqk1hnad6O7ZB0+7RnTydKRNc2Nq6ZTNrD5FqcpKNXxX6jcXwgo4CDgBN6WURjmOxUgpG+Tzmv8B/wNo1qxZ2xs3Hqezpii5bTkTxpTfzpKakWOig5Zg7oi8Ex3KUlxcHLt27cLOzo6L//zDzz/+iP+FC1jUb4T74GmcrmNAtP8K6ja2oW1Le/p7daLLUy64NGuAbhlNPVeUilAh15RKQwhhABwAPpNSbhJCxBYnKOWkrikpZakqpK6Ijo5m37599OnTh3qxsXwwcRJfbP3vXnShrYtOA3NMO3rTw609HVs1okOn1rhYmaielFKlVemgJITQBXYAu6WUX2ftuwJ4SSkjhBBmgL+UstBkMCooKdVdfHw8Z86cwd7enr83beLDWf/Htdu36e3Sg4y2Qzhx8zzxJzZRr2V7HJu1oLdnB3oPeIo2rcxKvBRSVQjKSvVVZYOSyJwD6wdESynfzrF/LhCVY6KDsZTyvcLqUkFJqWlSUlK4ceNGZnK2iAg6efXgbEgwKenppKVn5vvRqmOI2dAPaG/ZDDdTXTp0cKRDu1YY6dcqsN7sfFKPJgksbU4mRclWlYNSF+Bvcq8s/gFwDPgVaAbcBEZIKaMLq0sFJaWmk1Jy//599PT0OHPwIC+8NIaExCRe7DaKq/Ws2L5jPqnxd6ht4YBZYyva2LRkYP+e9BrQlaYmBpr7pDrP3pdvOnULIz0OT+tR0R9LqYaqbFAqSyooKUpeMitFfGpiIr2e6kpiXAL34hO4FXUbKTN/BzZ9ez2NyKD+VX/a2lmz84E5iQbGeeqqzHxSSvVSUfmUFEWpYrJ7P7p163Lg9CnN/ojwcKa89jq1H6TRXQazNziClTt+Yt8OQEubWg0t0detg3lzVxo69yK8nimGhoWn9FaUsqaCkqJkqe4X+s3MzVm95b8cPgNjY/FY2pTUsDus2fUPweFBRN+7QVLqQxK7jiblzjXCln2J44YWeLq40a9fD/oP64uB/uMvMqsoRVHDd4qCutBvPW0nGRnppNy7gVl6GnYpSURcPcGBU9sQ2jrI9Kwbi4UWVm368Hxvb1qa1KKhRT2eHj4QXV31+1YpXHGH79SNDYoCzN19JVdAAkhOTWfu7iuV1KKKZW6kh9DSpnZjG6LNbTli5UZIr/F4frablIR49q9exzOde9LAoD7mhg3Z+cCQt39Zz9BRQ6ld1xAT81a0tm/LkD6DOfSHPzIjo+g3rYK2nAmj8+x9WE/bSefZ+9hyJqyym1TjqJ83igKE5zPzrLD91c2Uvnb59hTf6++ITp06ePk8h5fPc5pjGckPWP3dbZZrxZGYqsW1u+Fc/DeAi1dOc0jXBvPdd0nZt4j4O1d5pmsvevXuRo8hA2hoaloZH69YHu0th8Um8/6mQIAa0VuuKtTwnaKgpkRD6a+p3bkVysYV66iVUZfrMeks/u07ou8E/zf0B+jo1OKV596mdzsXbsbdxKF9G7r37YOWVuUP2qjvQPlSU8IVpQRq+jWl8vIgMZnDO/5i958H2fjnTqKTkmng/RHphibc+tobmZaCtk4tmhg3QWak4OnqxtKfvqd+CxvS09PR1q64pIjW03aS319DNS2+bKigpCglVN1n31UVqalpXDl5Eb+Vazl18TI3Y+8TER1BUtglQNBi0q9YR93ir5WTadzAlK6u7nT0aEOSXi1GjBqFra1tubRL9ZTKlwpKiqI8MTIyJMFXQzmy7yjh9x5wJjyGHdt/5EFyAunx95BpDwGoXVufT16agXHtB3y91Q/vgQN4xscHm1atEEJgYmLy2G1QveXypYKSoihPvHuxiVw4cQl//3/Yf/QokaIOD92HkHg3mNurp0B67hxYXq3b8MvMT4g20OWnnTt57fXXsbe3L/b7qd5y+Z0DFZQURamWUtIyuHrjHhdPXeTIyUBOB13j8q3rRIdepo6NOw26jib15HbC//oJAIM6+hjVrUtM4n0WzZrFC2+/zaWgIK5evUq/fv3Q1S1dIsfqZMuZMKZsOEtqeo68YtqCucNLn1dMBSVFUWqU2KQUrlyN4ErgNS4H32X/iSOExMWSEHuHh2GXSY0Jp0mbp+lm24HgE5s4HnQCK5NGtG7enBQdLe4kJrJpyxZatGhBUFAQ6enpJeplVQdtPt1DTFLeDMwN9HU581GfUtWt1r5TFKVGMdKvRQeX5nRwaZ6153mklNy9/5Ar1+/w74VgroTc5er9dKLrvEjdWobcSUkiNDiUtJgwkJI3n30Db3tnlh/dxvEbV3mue3dsXV25HB6Ojq4uixYtQk9Pj5CQEOrVq4excd5FbJ9k+QWkwvaXBxWUFEWptoQQNK5Xh8Zuzenq1lyzX0rJnfjxBIVF8++FEP69fptzIbe4oVWfWYamJCZoQcKvrDt6hrQ//9S8ziY8kWfbuzNq9WLC4uOY+MortHRxYd/+/bRo0YKpU6cCcPPmTRo2bEjdunUr/DM/6VRQUhSlxhFC0KR+HZrUN+cpR3Pgv9l3pKZT174Lja3dqZ/2gIa1JbdiIgmLieLnZs4sT69HrEUHEu/+zozZs3PV2/5GBN06eeA56W2MjI15d+pUbFq0wM/Pj+7du/Piiy8CEBQUhLm5eZULWkZ6usQm5+0VGelV3HU3FZQURVF4ZP1DIUioU5cE6oKRHmfmvURySjrBkYlcvx3HNfdJXL/1IkF347lyL5L7sXdJi41gjH436pyRpBs249K/Z/AdN05T/8oVKxiamERdRwda9+pFJ09PJr71FlZWVnz66aeMHTuWwYMHI6Xk5MmTtGrVCiMjowo9BwNdzVh99Ga++yuKCkqKoigUvf6hXi1tHM3r4WheD9ybao5nX7cKjkwkOCKW69fCCW70CddikgiOjiE57i5pcXdIvx9F+38b0vTIaUzqNeHAwYMcOHhQU8+hP/9k8Lp1RBoZ0f6pp/D29mbMmDEYGRnx/vvvM2PGDPr06UNiYiIHDhzAw8MD0zJeS3D/5Xsl2l8eKiUoCSGWAQOBu1JKp6x9xsB6wAoIAZ6VUsZURvsURal5zI308l3RwdxIr9DXaa5b1atDR5uG0LmF5lh6hiQ8NpngyERC7sYTHHyHG7f1SW36LXXuJ2sCVlrsbUh9SK8tt7CI/AfTug3YuHEjGzdu1NQ1eexYzq9axZWEBJ4ePJixY8fyzDPPkJKSwvTp01m2bBlPPfUUYWFhbN++nSFDhtCkSRPS09PR0tLSJH8sTFVYmLhSpoQLIboCCcDKHEHpSyBaSjlbCDENaCClnFpYPWpKuKIoZaWiV3TIDlg3opIIiUrg5q0oboRHcyMmmRvJkoSk+6TF3SUt9jZp8fcwkul4WLamSdQtVvsvJ+ZhUq76ejo48Od337Ht6lUGv/IKEyZMwNPTk1u3bvHpp59y6NAh2rdvz4kTJ/jll194//33adSoEZGRkURHR2NjY0O3rw6W21JLVf4+JSGEFbAjR1C6AnhJKSOEEGaAv5TSrrA6VFBSFKUsTd8SyNpjt0iXEm0hGNmhKf83xLnC2yGlJDIhhZvRSdyMTuTWvQRuhkZy8+59biWkEpEqSH+QQFrcXdLj7yJjbtNIWwf3hpaYxYSzyH8591Mf5qrzpQ4dWPHhh6w8exbfmTMZPXo09vb2XLx4ET8/PwIDA7ma2oDXPv2W6NN/0Gj4x2jp1i6zwPwk3qfUWEoZAZAVmBpVdoMURak5tpwJY+OpMNKzfqinS8nGU2G0a25c4UsNCSEwNayNqWFt2jZvkOf4w7R0QmOSuRWdxK2YZEIjE7gVHkVYVCIXEtIwdh9Ig7QU0u5HkhZ/DxF7m7O6dXhxdQDGkbdoVMuA9StXkZSepqlz88SJzHjxRQ7Wvsd3EVfQe5iMialRhS+1VJWCUrEIIf4H/A+gWbNmldwaRVGqi8KyD1e19e9q62jTwtSAFqYG+R5PfJhGWGwyoTFJhMYkExadROjtWEIj73PpfhtqeQzGFMh4mET6/SjS4+6yUbcWAX9FYhCpi229xnx2Yx9DFi6t2A9G1QpKd4QQZjmG7+7mV0hKuRhYDJnDdxXZQEVRqq+qcJG/rNStrYNtY0NsGxvme/xBajrhscmExSZn/huTTGhUIhF347gUaU9y24F8mhTP3Nn7anRPaRvwEjA769+tldscRVFqksedffckqqOrjY2pATaP9LSyJ3tkiHSi6xpBJaSEr5QcxEKItcARwE4IESqEGEdmMOothAgCemdtK4qiVIgpfe3Q082d6VZPV5spfQudb1WtFDaEWVEqpackpRxZwKGeFdoQRVGULNk9gZqcT6kqDGFWpeE7RVGUSjWkjUWNCkKPqgpDmJUyfKcoiqJUPVVhCFP1lBRFURSgagxhqqCkKIqiaFT2EKYavlMURVGqDBWUFEVRlCpDBSVFURSlylBBSVEURakyKi11RVkQQtwDbpRhlSZAZBnW9yRS50Cdg5r++UGdAyj7c9BcSllkqtwnOiiVNSHEyeLk+6jO1DlQ56Cmf35Q5wAq7xyo4TtFURSlylBBSVEURakyVFDKbXFlN6AKUOdAnYOa/vlBnQOopHOgrikpiqIoVYbqKSmKoihVhgpKiqIoSpVRI4OSEKKfEOKKEOKqEGJaPsdrCyHWZx0/JoSwqvhWlp9ifP6uQojTQog0IcTwymhjeSvGOZgshLgohDgnhPhLCNG8MtpZnopxDl4RQgQKIQKEEIeEEI6V0c7yVNQ5yFFuuBBCCiGq3TTxYnwPxggh7mV9DwKEEC+Xa4OklDXqAWgD1wAboBZwFnB8pMxrwKKs588D6yu73RX8+a0AF2AlMLyy21xJ56A7oJ/1/NXq9B0owTmol+P5IOCPym53RZ+DrHKGwEHgKNCusttdCd+DMcDCimpTTewptQeuSimvSylTgHXA4EfKDAb8sp5vAHoKIUQFtrE8Ffn5pZQhUspzQEZlNLACFOcc7JdSJmVtHgUsK7iN5a045yA+x2ZdoLrNiirO3wKAWcCXwIOKbFwFKe45qDA1MShZALdybIdm7cu3jJQyDYgDGlZI68pfcT5/dVfSczAO2FWuLap4xToHQojXhRDXyPyjPLGC2lZRijwHQog2QFMp5Y6KbFgFKu7/Be+soewNQoim5dmgmhiU8uvxPPoLsDhlnlTV+bMVV7HPgRDiBaAdMLdcW1TxinUOpJTfSylbAFOB6eXeqopV6DkQQmgB84F3KqxFFa8434PtgJWU0gX4k/9GkcpFTQxKoUDOSG8JhBdURgihA9QHoiukdeWvOJ+/uivWORBC9AI+BAZJKR9WUNsqSkm/B+uAIeXaoopX1DkwBJwAfyFECNAR2FbNJjsU+T2QUkbl+P4vAdqWZ4NqYlA6AbQSQlgLIWqROZFh2yNltgEvZT0fDuyTWVf8qoHifP7qrshzkDVs8xOZAeluJbSxvBXnHLTKsfk0EFSB7asIhZ4DKWWclNJESmklpbQi89riICnlycppbrkozvfALMfmIOBSeTZIpzwrr4qklGlCiDeA3WTOPFkmpbwghPgUOCml3AYsBVYJIa6S2UN6vvJaXLaK8/mFEB7AZqAB8IwQ4hMpZetKbHaZKuZ3YC5gAPyWNcflppRyUKU1uowV8xy8kdVbTAVi+O+HWrVQzHNQrRXzHEwUQgwC0sj8ezimPNuklhlSFEVRqoyaOHynKIqiVFEqKCmKoihVhgpKiqIoSpWhgpKiKIpSZaigpCiKolQZKigpSgkIIYyEEK/l2DYXQmwop/caIoT4qAzr+0oI0aOs6lOU8qCmhCtKCWSlMdkhpXSqgPf6h8ybNSPLqL7mwBIpZZ+yqE9RyoPqKSlKycwGWmTllZkrhLASQpwHTd6ZLUKI7UKIYCHEG1l5mc4IIY4KIYyzyrUQQvwhhDglhPhbCGH/6JsIIWyBh9kBSQgxQghxXghxVghxMGufdlYbTmQtljkhx+vfy8qFdFYIMRtASnkDaCiEaFLuZ0lRHlONW9FBUUppGuAkpXQDTc8pJyegDVAHuApMlVK2EULMB0YD3wCLgVeklEFCiA7AD8Cjw2qdgdM5tj8C+kopw4QQRln7xgFxUkoPIURt4LAQYg9gT+Y6dR2klEnZwTDL6ay6Nz72GVCUcqSCkqKUrf1SyvvAfSFEHJkrLAMEAi5CCAOgE/8tXwRQO596zIB7ObYPAyuEEL8Cm7L29cmqMzs7cH2gFdALWJ6dD0pKmXMx4buAeSk+n6KUKxWUFKVs5VxNPCPHdgaZ/9+0gNjsnlYhkskMMgBIKV/J6lU9DQQIIdzITDvwppRyd84XCiH6UXA6kjpZdStKlaSuKSlKydwnM6XBY8nK5hoshBgBIDK55lP0EtAye0MI0UJKeUxK+REQSWa6gd3Aq0II3awytkKIusAewFcIoZ+1P+fwnS1w/nHbryjlTQUlRSkBKWUUmdduzgshHjfxnw8wTghxFrhA/umnDwJtxH9jfHOzJi6czzp2FvgZuAicztr/E6AjpfyDzPQDJ4UQAcC7AFnBqyVQnVIvKNWMmhKuKFWUEGIBsF1K+WcZ1TcUcJdSziiL+hSlPKiekqJUXZ8D+mVYnw4wrwzrU5Qyp3pKiqIoSpWhekqKoihKlaGCkqIoilJlqKCkKIqiVBkqKCmKoihVhgpKiqIoSpWhgpKiKIpSZaigpCiKolQZKigpiqIoVYYKSoqiKEqVoYKSoiiKUmWooKQoiqJUGSooKYqiKFWGCkqKoihKlfFEp0M3MTGRVlZWld0MRVEUpQinTp2KlFKaFlXuiQ5KVlZWnDypkmgqiqJUdUKIG8Upp4bvFEVRlCpDBSVFURSlylBBSVEURakynuhrSopSnaWmphIaGsqDBw8quymKUmx16tTB0tISXV3dx3q9CkqKUkWFhoZiaGiIlZUVQojKbo6iFElKSVRUFKGhoVhbWz9WHSooKUqWLWfCmLv7CuGxyZgb6TGlrx1D2lhUWnsePHigApLyRBFC0LBhQ+7du/fYdaigpChkBqT3NwWSnJoOQFhsMu9vCgSo1MCkApLypCntd1ZNdFAUYO7uK5qAlC05NZ25u69UUosUpWZSQUlRgPDY5BLtr0k2b96MEILLly+XWZ0LFy6kZcuWCCGIjIwstKyUkokTJ9KyZUtcXFw4ffp0vuW8vLyws7PDzc0NNzc37t69m2+51NRU2rZtq9meMGEChw8fzlVm5syZ6Ovr56rDwMAAgFu3btG9e3ccHBxo3bo1CxYs0JSZMmUK9vb2uLi4MHToUGJjYwv8XElJSfj4+ODs7IyTkxNdunQhISEBAG1tbc3ncHNzIyQkBIBz587h6elJ69atcXZ2zncSzMyZM7GwsNC89vfffwcgJSWFsWPH4uzsjKurK/7+/vm2a8WKFYSHhxfY7myff/55kWUehwpKigKYG+mVaH9VtOVMGJ1n78N62k46z97HljNhZVLv2rVr6dKlC+vWrSvxa9PT0/Pd37lzZ/7880+aN29eZB27du0iKCiIoKAgFi9ezKuvvlpg2TVr1hAQEEBAQACNGjXKt8yhQ4fo1KmTZvvYsWN07NgxTzkTExPmzZuXZ7+Ojg7z5s3j0qVLHD16lO+//56LFy8C0Lt3b86fP8+5c+ewtbXliy++KLCtCxYsoHHjxgQGBnL+/HmWLl2qmbGmp6en+RwBAQFYWVmRlpbGCy+8wKJFi7hw4QL+/v4FznCbNGmS5rUDBgwAYMmSJQAEBgayd+9e3nnnHTIyMvLjMkmVAAAgAElEQVS8VgUlRakCpvS1Q09XO9c+PV1tpvS1q6QWlUz2NbGw2GQk/10TK21gSkhI4PDhwyxdujRXUPL396dr164MHToUR0dHXnnlFc0fOAMDAz766CM6dOjAkSNH8q23TZs2FHfdyq1btzJ69GiEEHTs2JHY2FgiIiIe+zP98ccf9O/fH4BLly5ha2uLtrZ2nnK+vr6sX7+e6OjoXPvNzMxwd3cHwNDQEAcHB8LCMs9znz590NHJvFTfsWNHQkNDC2xHREQEFhb/Xa+0s7Ojdu3aBZbfs2cPLi4uuLq6AtCwYcN8212Qixcv0rNnTwAaNWqEkZFRnmXaNmzYwMmTJ/Hx8cHNzY24uDjs7Oy4ciVzGHvkyJEsWbKEadOmkZycjJubGz4+PsVuQ3GooKQoZE5m+GKYMxZGegjAwkiPL4Y5V+okh5Ior2tiW7ZsoV+/ftja2mJsbJxr6Oz48ePMmzePwMBArl27xqZNmwBITEzEycmJY8eO0aVLl1K9P0BYWBhNmzbVbFtaWmqCwKPGjh2Lm5sbs2bNQkqZb5n9+/fj5eUFZPbC+vXrl285AwMDfH19cw3PPSokJIQzZ87QoUOHPMeWLVumCX758fX1Zc6cOXh6ejJ9+nSCgoI0x7L/4Lu5uTF06FAA/v33X4QQ9O3bF3d3d7788ssC6164cCEuLi74+voSExMDgKurK1u3biUtLY3g4GBOnTrFrVu3cr1u+PDhtGvXTtPjrF+/PgsXLmTMmDGsW7eOmJgYxo8fz+zZszW9uTVr1hTYjsehgpKiZBnSxoLD03oQPPtpDk/r8cQEJCi/a2Jr167l+eefB+D5559n7dq1mmPt27fHxsYGbW1tRo4cyaFDh4DM6yHe3t6let+c8gsu+c3wWrNmDYGBgfz999/8/fffrFq1Kk+Z8PBwjI2N0dfXB2D37t0FBiWAiRMn4ufnR3x8fJ5jCQkJeHt7880331CvXr1cxz777DN0dHQK7UW4ublx/fp1pkyZQnR0NB4eHly6dAnIPXy3efNmANLS0jh06BBr1qzh0KFDbN68mb/++itPva+++irXrl0jICAAMzMz3nnnHSAzCFpaWtKuXTvefvttOnXqpOnVFaZ37944Ozvz+uuv8/PPPxdZvrTUlHBFqQbMjfQIyycAleaaWFRUFPv27eP8+fMIIUhPT0cIofmF/mhgyN6uU6dOiYaVimJpaZnrF31oaCjm5uZ5ymUPhRkaGjJq1CiOHz/O6NGjc5XZtWsXffv2BTInGsTGxuZbVzYjIyNGjRrFDz/8kGt/amoq3t7e+Pj4MGzYsFzH/Pz82LFjB3/99VeR06MNDAwYNmwYw4YNQ0tLi99//x0HB4d8y1paWtKtWzdMTEwAGDBgAKdPn9YMyWVr3Lix5vn48eMZOHAgkHktbP78+ZpjnTp1olWrVoW2DyAjI4NLly6hp6dHdHQ0lpaWRb6mNFRPSVGqgfK4JrZhwwZGjx7NjRs3CAkJ4datW1hbW2t6RMePHyc4OJiMjAzWr19fJkN1+Rk0aBArV65ESsnRo0epX78+ZmZmucqkpaVpZvGlpqayY8cOnJyc8tSV83rS/v376d69e5HvP3nyZH766SfS0tKAzJ7buHHjcHBwYPLkyXnqnzNnDtu2bdP0xgpy+PBhzdBaSkoKFy9eLHTiR9++fTl37hxJSUmkpaVx4MABHB0d85TLeb1t8+bNmvOQlJREYmIiAHv37kVHRyff1xsaGnL//n3N9vz583FwcGDt2rX4+vqSmpoKgK6uruZ5WVJBSVGqgfK4JrZ27VrN9Yxs3t7e/PLLLwB4enoybdo0nJycsLa2zlO2MN9++y2WlpaEhobi4uLCyy+/XGDZAQMGYGNjQ8uWLRk/fnyuXoubmxsA/9/evcdXVV75H/8sQ5QgaKrQFoIYvHAPBIxFhVGso7G1pYB2RsRxFKripU6rg9L5WbWXqVBklN+gP4pW8TbolAIqFrEVUKEFi3IJQilaUBL6eoEoXlFJWL8/zklM4CQ5B87Zeyf7+3698iJ7n+fssx7OSVb2s9d+ns8++4zy8nL69+9PaWkpRUVFXHnllQ2OU1NTw+bNm+nVqxfQ9PWk+jp27MjIkSP57LPPgEQyefTRR1m8ePEBZdfXX389H374Ieeeey6lpaWMHz++0eO++eabnHXWWZSUlDBw4EDKysqaHPb80pe+xI033sipp55KaWkpgwYN4oILLgDge9/7Xl3Rws0330xJSQn9+/dnyZIldWdHO3bsYNCgQfTu3ZvJkyc3GN6s//zLL7+c8ePHU1paytq1a3nggQeYOnUq//AP/8CZZ57Jz3/+cwCuuuoq+vfvn/VCB2vsYmBLUFZW5lrkT1qrjRs3NjqUE7alS5dy1113sWDBgrBDSduyZct47LHHmDFjBgCDBg1i5cqVBz1xqDQu1WfXzF5197LmnhvINSUzexD4FrDD3Q84pzazo4HHgG7JmO5y94eCiE1E4mHo0KENhhgbuwlXwhVUocMsYDrwSCOPXwdscPdvm1knYJOZPe7unwcUn4hkYNiwYXVl1U0ZOXIkW7ZsabBv8uTJdcUG9T300EMHlF8PGTKEe++995BiDduiRYu45ZZbGuzr3r17XVWdNBRIUnL3l8ysuKkmQAdLlKq0B94FqgMITSTS3L1FT8qayS/eK664giuuuCKH0YSjvLw8ZRJurQ71klBUCh2mA72B7UAF8G/ufuD8FyIx0rZtW3bt2nXIP+QiQaldT6lt27YHfYyo3KdUDqwBvg6cCPzezF529wPuWDOzq4CrALp16xZokCJBqq1OO5S1aUSCVrvy7MGKSlK6ApjkiT8J3zCzLUAv4JX9G7r7TGAmJKrvAo1SJED5+fkHvXqnSEsVleG7t4FzAMzsK0BP4G+hRiQiIoELqiR8NjAM6GhmlcDtQD6Au88AfgbMMrMKwIBb3L3pRVZERKTVCar6bnQzj28HzgsiFhERaWj+6iqmLNrE9t176FJYwITynqFNSByVa0oiIhKC2rW4apc+qV2LCwglMUXlmpKIiIQgV2txHSwlJRGRGMvVWlwHS0lJRCTGGltz61DW4joUSkoiIjGWi7W4DoUKHUREYqy2mEHVdyIiEgkjBhaFloT2p+E7ERGJDCUlERGJDCUlERGJDCUlERGJDCUlERGJDCUlERGJDCUlERGJDCUlERGJDCUlERGJDCUlERGJDE0zJCJAtFYflfhSUhKRyK0+KvGV0fCdmZ1gZs+Y2TtmtsPMnjKzE3IVnIgEI2qrj0p8ZXpN6X+A/wW+CnQBfgPMznZQIhKsqK0+KvGVaVIyd3/U3auTX48BnovARCQ4UVt9VOIr06S0xMwmmlmxmR1vZjcDz5rZMWZ2TC4CFJHci9rqoxJfmRY6/HPy36v32z+WxBmTri+JtEBRW31U4iujpOTu3XMViIiEK0qrj0qwonQ7QEZJyczygAuA4vrPdff/ym5YIiIShKjdDpDpNaVngMuBY4EO9b5ERKQFitrtAJleU+rq7v1zEomIiAQuarcDZHqmtNDMzstJJCIiErio3Q6QaVJaAcwzsz1m9oGZfWhmH+QiMBERyb2o3Q6QaVKaCpwOtHP3o9y9g7sf1dyTzOzB5LRE65toM8zM1pjZ62b2YoZxiYjIQRgxsIg7R5VQVFiAAUWFBdw5qqRlVN8Bm4H17p7pLA6zgOnAI6keNLNC4D7gfHd/28y+nOHxW4UolWWKSHxE6XaATJPS34GlZrYQ+Kx2Z3Ml4e7+kpkVN9HkEmCuu7+dbL8jw7havKiVZYqIhCHT4bstwAvA4WS3JLwH8CUzW2pmr5rZZY01NLOrzGyVma3auXNnFl46GqJWlikiEoZMZ3T4CYCZHenuH2c5jlOAc4AC4E9mtsLd/5oihpnATICysrJWMxls1MoyRUTCkOl6Sqeb2QZgY3J7gJndl4U4KoHn3P1jd38HeAkYkIXjthhRK8sUEQlDpsN39wDlwC4Ad18LnJmFOJ4C/sHM2phZO2AwycQXF1EryxQRCUPGy6G7+zYzq7+rprG2tcxsNjAM6GhmlcDtQH7yeDPcfaOZPQesA/YBD7h7o+XjrZFmaRYRyTwpbTOzMwA3s8OBG0jjjMbdR6fRZgowJcN4sirskuwolWWKiIQh06Q0HpgGFJG4DvQ8cG22gwrD/NVVTJizlr01idqJqt17mDBnLaCSbBGRoGSalHq6+5j6O8xsCLA8eyGF4yfPvF6XkGrtrXF+8szrSkoiMRD2SIkkZFro8N9p7mtx3vtkb0b7RaT1mL+6igm/WUvV7j04yZGS36xl/uqqsEOLnbTOlMzsdOAMoJOZ3VjvoaOAvNTPEmlZ9JdyfN3x9Ovs3bffSMk+546nNVIStHSH7w4H2ifb15/B4QPgomwHFYaC/MPYs3dfyv3S+mmap3jbvSf1iEhj+yV30kpK7v4i8KKZzXL3t3IcUyja5uelTEpt83UiGAdNTfOkpCQSnEynGWqVCQlgdyPXjhrbL62LpnmSOIvS0LXGppI0zU+8FbbLz2i/tC5fauR9bmx/a1I7dF2/yONHcytCK/JQUkrSND/x1tgKYRmvHCYt0u3f7kt+XoOZasjPM27/dt+QIgpO1FYoyGj4zszaAuOAvkDb2v3uPjbLcQVO0/zE2/uNXNBubL+0LnH++Y/a0HWmN88+CvyFxKSsPwXGELOJU6V16lJYQFWKH0IN38ZHXKf5itpnP9Phu5Pc/cfAx+7+MHABUJL9sIIXtXFVCZaGbyWuovbZzzQp1Y5l7DazfsDRQHFWIwpJ1MZVJVgjBhZx56gSigoLMKCosIA7R5XE8i9niZeoffYzHb6baWZfAn4MPE3ihtrbsh5VCKI2rirBi+vwjUiUPvuZ3qf0QPLbF4ETsh9OeKI2rioiEkeZVt8dAVxIYsiu7rnu/tPshhW8s3t14rEVb6fcLyIiwch0+O4p4H3gVeCz7IcTniV/2ZnRfhERyb5Mk1JXdz8/J5GELArXlKI01YeISBgyrb77o5m1ihLw/YU9zZBK0kVEMk9KQ4FXzWyTma0zswozW5eLwIIWdq2+StJFRDIfvvtGTqKIgLCnGUlV+dfUfhGR1khLV9QTZq1+nhk1KWb/zDNL0VpEpHXSLOERkSohNbVfRKQ1UlKKiKJGCioa2y8i0hopKUVE2IUWIiJRkGmhg+RI2IUWIiJRoKQUIVGaFFFEJAwavhMRkchQUhIRkcgIJCmZ2YNmtsPM1jfT7lQzqzGzi4KISxqav7qKIZMW033iswyZtFhTHIlI4II6U5oFNDmRq5nlAZOBRUEEJA1p7j0RiYJAkpK7vwS820yz7wO/BXbkPiLZn+beE50pSxREovrOzIqAkcDXgVObaXsVcBVAt27dch9cTERh6Q4JT+2Zcu0fJrVnyoAqQiVQUSl0uAe4xd1rmmvo7jPdvczdyzp10qqw2RL20h0SLp0pS1REJSmVAU+Y2VbgIuA+MxsRbkjxohkl4k1nyhIVkRi+c/futd+b2SxggbvPDy+i+NGMEvHWpbAg5TIpOlOWoAWSlMxsNjAM6GhmlcDtQD6Au88IIgZpnmaUiK8J5T0bXFMCnSlLOAJJSu4+OoO2l+cwFBFJQWfKEhWRGL4TkfDpTFmiICqFDiIiIkpKIiISHUpKIiISGUpKIiISGUpKIiISGUpKIiISGUpKIiISGbpPSerMX10V65sn495/kShQUhJASxfEvf8iUaHhOwG0dEHc+y8SFUpKAmjpgrj3XyQqlJQE0CJ/ce+/SFQoKQmgRf7i3n+Jt/mrqxgyaTHdJz7LkEmLmb+6KrRYVOgggJYuiHv/Jb6iVuRj7h74i2ZLWVmZr1q1KuwwRERarCGTFqdcdbiosIDlE7+etdcxs1fdvay5dhq+ExGJsagV+SgpiYjEWNSKfJSURERiLGpFPip0EBGJsagV+SgpiYjE3IiBRZGpNNXwnYiIRIaSkoiIRIaSkoiIRIaSkoiIRIaSkoiIRIaSkoiIREaLnvvOzHYCb+Xg0B2Bd3Jw3JZC/Vf/1f94ymXfj3f3Ts01atFJKVfMbFU6Ewe2Vuq/+q/+x7P/Uei7hu9ERCQylJRERCQylJRSmxl2ACFT/+NN/Y+v0Puua0oiIhIZOlMSEZHIiHVSMrPzzWyTmb1hZhNTPH6EmT2ZfHylmRUHH2XupNH/M83sNTOrNrOLwogxl9Lo/41mtsHM1pnZC2Z2fBhx5koa/R9vZhVmtsbMlplZnzDizIXm+l6v3UVm5mbWqqrx0njvLzezncn3fo2ZfS+w4Nw9ll9AHvAmcAJwOLAW6LNfm2uBGcnvLwaeDDvugPtfDPQHHgEuCjvmEPp/NtAu+f01MXz/j6r3/XDgubDjDqrvyXYdgJeAFUBZ2HEH/N5fDkwPI744nyl9DXjD3f/m7p8DTwDf2a/Nd4CHk9/PAc4xMwswxlxqtv/uvtXd1wH7wggwx9Lp/xJ3/yS5uQLoGnCMuZRO/z+ot3kk0FouQKfzsw/wM+CXwKdBBheAdPsfijgnpSJgW73tyuS+lG3cvRp4Hzg2kOhyL53+t2aZ9n8csDCnEQUrrf6b2XVm9iaJX843BBRbrjXbdzMbCBzn7guCDCwg6X72L0wOXc8xs+OCCS3eSSnVGc/+fwmm06alas19S0fa/TezS4EyYEpOIwpWWv1393vd/UTgFuDWnEcVjCb7bmaHAXcDNwUWUbDSee+fAYrdvT/wB74YMcq5OCelSqB+9u8KbG+sjZm1AY4G3g0kutxLp/+tWVr9N7N/BP4PMNzdPwsotiBk+v4/AYzIaUTBaa7vHYB+wFIz2wqcBjzdioodmn3v3X1Xvc/7/cApAcUW66T0Z+BkM+tuZoeTKGR4er82TwP/mvz+ImCxJ68CtgLp9L81a7b/ySGcX5FISDtCiDGX0un/yfU2LwA2BxhfLjXZd3d/3907unuxuxeTuJ443N1XhRNu1qXz3neutzkc2BhUcG2CeqGocfdqM7seWESiGuVBd3/dzH4KrHL3p4FfA4+a2RskzpAuDi/i7Eqn/2Z2KjAP+BLwbTP7ibv3DTHsrEnz/Z8CtAd+k6xvedvdh4cWdBal2f/rk2eKe4H3+OIPtBYtzb63Wmn2/wYzGw5Uk/jdd3lQ8WlGBxERiYw4D9+JiEjEKCmJiEhkKCmJiEhkKCmJiEhkKCmJiEhkKCmJiEhkKCmJZMDMCs3s2nrbXcxsTo5ea4SZ3ZbF491lZl/P1vFEckH3KYlkILmm1gJ37xfAa/2RxEwC72TpeMcD97v7edk4nkgu6ExJJDOTgBOTC59NMbNiM1sPdQujzTezZ8xsi5ldn1wocLWZrTCzY5LtTjSz58zsVTN72cx67f8iZtYD+Kw2IZnZd81svZmtNbOXkvvykjH8OTmb89X1nn9zcoG+tWY2CcDd3wKONbOv5vx/SeQgxXaaIZGDNBHo5+6lUHfmVF8/YCDQFngDuMXdB5rZ3cBlwD3ATGC8u282s8HAfcD+w2pDgNfqbd8GlLt7lZkVJveNA95391PN7AhguZk9D/QiMXnqYHf/pDYZJr2WPPZvD/p/QCSHlJREsmuJu38IfGhm75NYAgCgAuhvZu2BM/hiPj2AI1IcpzOws972cmCWmf0vMDe577zkMWuXqj8aOBn4R+Ch2gUK3b3+zPY7gC6H0D+RnFJSEsmu+stb7Ku3vY/Ez9thwO7aM60m7CGRZABw9/HJs6oLgDVmVkpiXZzvu/ui+k80s/NpfG2stslji0SSrimJZOZDEuvtHJTkEuNbzOy7AJYwIEXTjcBJtRtmdqK7r3T324B3SKyHswi4xszyk216mNmRwPPAWDNrl9xff/iuB7D+YOMXyTUlJZEMuPsuEtdu1pvZwa5EOwYYZ2ZrgdeB76Ro8xIw0L4Y45uSLFxYn3xsLfAAsAF4Lbn/V0Abd3+OxPo4q8xsDfDvAMnkdRLQWtYFklZIJeEiEWVm04Bn3P0PWTreSGCQu/84G8cTyQWdKYlE1y+Adlk8XhtgahaPJ5J1OlMSEZHI0JmSiIhEhpKSiIhEhpKSiIhEhpKSiIhEhpKSiIhEhpKSiIhEhpKSiIhEhpKSiIhEhpKSiIhEhpKSiIhEhpKSiIhEhpKSiIhERoteebZjx45eXFwcdhgiItKMV1999R1379RcuxadlIqLi1m1SuuViYhEnZm9lU47Dd+JiEhkKCmJiEhkKCmJiEhktOhrSqns3buXyspKPv3007BDEUlb27Zt6dq1K/n5+WGHIhKqVpeUKisr6dChA8XFxZhZ2OGINMvd2bVrF5WVlXTv3j20OOavrmLKok1s372HLoUFTCjvyYiBRaHFI/HU6obvPv30U4499lglJGkxzIxjjz021LP7+aur+NHcCqp278GBqt17+NHcCuavrgotJomnVpeUACUkaXHC/sxOWbSJPXtrGuzbs7eGKYs2hRSRxFWrTEoikpntu/dktF8kV5SURIQuhQUZ7RfJldgnpfmrqxgyaTHdJz7LkEmLszaGPm/ePMyMv/zlL1k5HsD06dM56aSTMDPeeeedJtu6OzfccAMnnXQS/fv357XXXkvZbtiwYfTs2ZPS0lJKS0vZsWNHynZ79+7llFNOqdu++uqrWb58eYM2d9xxB+3atWtwjPbt2wOwbds2zj77bHr37k3fvn2ZNm1aXZsJEybQq1cv+vfvz8iRI9m9e3ej/frkk08YM2YMJSUl9OvXj6FDh/LRRx8BkJeXV9eP0tJStm7dCsC6des4/fTT6du3LyUlJSmv3dxxxx0UFRXVPfd3v/sdAJ9//jlXXHEFJSUlDBgwgKVLl6aMa9asWWzfvr3RuGv94he/aLZNGCaU96QgP6/BvoL8PCaU9wwpIomrWCelXF7cnT17NkOHDuWJJ57I+Lk1NTUp9w8ZMoQ//OEPHH/88c0eY+HChWzevJnNmzczc+ZMrrnmmkbbPv7446xZs4Y1a9bw5S9/OWWbZcuWccYZZ9Rtr1y5ktNOO+2Adh07dmTq1KkH7G/Tpg1Tp05l48aNrFixgnvvvZcNGzYAcO6557J+/XrWrVtHjx49uPPOOxuNddq0aXzlK1+hoqKC9evX8+tf/7qujLqgoKCuH2vWrKG4uJjq6mouvfRSZsyYweuvv87SpUsbLbv+4Q9/WPfcb37zmwDcf//9AFRUVPD73/+em266iX379h3w3JaelEYMLOLOUSUUFRZgQFFhAXeOKlH1nQQu1kkpVxd3P/roI5YvX86vf/3rBklp6dKlnHnmmYwcOZI+ffowfvz4ul9w7du357bbbmPw4MH86U9/SnncgQMHku4EtE899RSXXXYZZsZpp53G7t27+fvf/37QfXruuef4xje+AcDGjRvp0aMHeXl5B7QbO3YsTz75JO+++26D/Z07d2bQoEEAdOjQgd69e1NVlUj+5513Hm3aJO5OOO2006isrGw0jr///e8UFX3xi7Jnz54cccQRjbZ//vnn6d+/PwMGDADg2GOPTRl3YzZs2MA555wDwJe//GUKCwsPmG9xzpw5rFq1ijFjxlBaWsr7779Pz5492bQp8TkaPXo0999/PxMnTmTPnj2UlpYyZsyYtGMIyoiBRSyf+HW2TLqA5RO/HruElKtRE8lMrJNSri7uzp8/n/PPP58ePXpwzDHHNBg6e+WVV5g6dSoVFRW8+eabzJ07F4CPP/6Yfv36sXLlSoYOHXpIrw9QVVXFcccdV7fdtWvXuiSwvyuuuILS0lJ+9rOf4e4p2yxZsoRhw4YBibOw888/P2W79u3bM3bs2AbDc/vbunUrq1evZvDgwQc89uCDD9Ylv1TGjh3L5MmTOf3007n11lvZvHlz3WO1v/BLS0sZOXIkAH/9618xM8rLyxk0aBC//OUvGz329OnT6d+/P2PHjuW9994DYMCAATz11FNUV1ezZcsWXn31VbZt29bgeRdddBFlZWV1Z5xHH30006dP5/LLL+eJJ57gvffe48orr2TSpEl1Z3OPP/54o3FI8FQSHx2xTkq5urg7e/ZsLr74YgAuvvhiZs+eXffY1772NU444QTy8vIYPXo0y5YtAxLXQy688MJDet36UiWXVGXHjz/+OBUVFbz88su8/PLLPProowe02b59O8cccwzt2rUDYNGiRY0mJYAbbriBhx9+mA8++OCAxz766CMuvPBC7rnnHo466qgGj/3nf/4nbdq0afIsorS0lL/97W9MmDCBd999l1NPPZWNGzcCDYfv5s2bB0B1dTXLli3j8ccfZ9myZcybN48XXnjhgONec801vPnmm6xZs4bOnTtz0003AYkk2LVrV8rKyvjBD37AGWecUXdW15Rzzz2XkpISrrvuOh544IFm20u4VBIfHYHM6GBmxwGPAF8F9gEz3X3afm0MmAZ8E/gEuNzdU1+dz5IJ5T350dyKBh/GQ724u2vXLhYvXsz69esxM2pqajCzur/Q908Mtdtt27bNaFipOV27dm3wF31lZSVdunQ5oF3tUFiHDh245JJLeOWVV7jssssatFm4cCHl5eVAotBg9+7dKY9Vq7CwkEsuuYT77ruvwf69e/dy4YUXMmbMGEaNGtXgsYcffpgFCxbwwgsvNHvPTvv27Rk1ahSjRo3isMMO43e/+x29e/dO2bZr166cddZZdOzYEYBvfvObvPbaa3VDcrW+8pWv1H1/5ZVX8q1vfQtIXAu7++676x4744wzOPnkk5uMD2Dfvn1s3LiRgoIC3n33Xbp27drscyQ8KomPjqDOlKqBm9y9N3AacJ2Z9dmvzTeAk5NfVwH/L9dB5eLi7pw5c7jssst466232Lp1K9u2baN79+51Z0SvvPIKW7ZsYd++fTz55JNZGapLZfjw4TzyyCO4OytWrODoo4+mc+fODdpUV1fXVfHt3buXBQsW0K9fvwOOVRP1nYQAABVKSURBVP960pIlSzj77LObff0bb7yRX/3qV1RXVwOJM7dx48bRu3dvbrzxxgOOP3nyZJ5++um6s7HGLF++vG5o7fPPP2fDhg1NFn6Ul5ezbt06PvnkE6qrq3nxxRfp02f/jx4NrrfNmzev7v/hk08+4eOPPwbg97//PW3atEn5/A4dOvDhhx/Wbd9999307t2b2bNnM3bsWPbu3QtAfn5+3fcSHSqJjxB3D/wLeAo4d799vwJG19veBHRu6jinnHKK72/Dhg0H7AvSWWed5QsXLmywb9q0aT5+/HhfsmSJn3322f5P//RP3rt3b7/66qu9pqbG3d2PPPLIZo89bdo0Lyoq8ry8PO/cubOPGzeu0bb79u3za6+91k844QTv16+f//nPf657bMCAAe7u/tFHH/mgQYO8pKTE+/Tp4zfccINXV1c3OE51dXVde3f36667zpcsWZLyNW+//XafMmVK3fYPf/hDT3zE3F9++WUHvKSkxAcMGOADBgzwZ5991t3dTzzxRO/atWvd/quvvrrRfj388MNeUlLi/fr18z59+viECRN837597t74/+Gjjz7qffr08b59+/qECRPq9o8bN67u/+XSSy/1fv36eUlJiX/729/27du3u7v7li1bvEePHt6rVy8/55xzfOvWrSmfP2fOHO/Ro4cPGDDA16xZ47169fIPPvig7v/htttuc3f3m2++2Xv16uWXXHLJAXGG/dmNs3mvVXqvWxf68bcsqPvqdetCn/daZdihtRrAKk8jP5g3cmE7V8ysGHgJ6OfuH9TbvwCY5O7LktsvALe4e6NLy5aVlfn+lVAbN25sdCgnbEuXLuWuu+5iwYIFYYeStmXLlvHYY48xY8YMAAYNGsTKlSs1m3UORPmzGweakDa3zOxVdy9rrl2gs4SbWXvgt8AP6iek2odTPOWAjGlmV5EY3qNbt25Zj1EaGjp0aIMhxsZuwhVp6UYMLFISioDAkpKZ5ZNISI+7+9wUTSqB4+ptdwUOuBvR3WcCMyFxppSDUHNm2LBhdWXVTRk5ciRbtmxpsG/y5Ml1xQb1PfTQQweUXw8ZMoR77733kGIN26JFi7jlllsa7OvevXtdVZ2ItE6BDN8lK+seBt519x800uYC4HoS1XeDgf/r7l9r6riNDd/16tUr9FmXRTLh7vzlL3/R8J20WlEbvhsC/AtQYWZrkvv+A+gG4O4zgN+RSEhvkCgJv+JgXqht27bs2rVLaypJi+HJRf7atm0bdigioQskKSWLF5rMEMnqjOsO9bW6du1KZWUlO3fuPNRDiQSmdjl0kbhrdcuh5+fnh7qktIiIHLxYTzMkIiLRoqQkIiKRoaQkIiKRoaQkIiKRoaQkIiKRoaQkIiKRoaQkIiKRoaQkIiKRoaQkIiKRoaQkIiKRoaQkIiKRoaQkIiKRoaQkIiKRoaQkIiKR0eqWrhARkczMX13FlEWb2L57D10KC5hQ3pMRA4tCiUVJSUQkxuavruJHcyvYs7cGgKrde/jR3AqAUBJTIMN3Zvagme0ws/WNPH60mT1jZmvN7HUzO6il0EVEJDNTFm2qS0i19uytYcqiTaHEE9Q1pVnA+U08fh2wwd0HAMOAqWZ2eABxiYjE2vbdezLan2sZJSUzOyF5RvNO8sznKTM7obnnuftLwLtNNQE6mJkB7ZNtqzOJTUREMtelsCCj/bmW6ZnS/wD/C3wV6AL8BpidhTimA72B7UAF8G/uvi9VQzO7ysxWmdmqnTt3ZuGlRUTia0J5Twry8xrsK8jPY0J5z1DiyTQpmbs/6u7Vya/HSJzlHKpyYA2JRFcKTDezo1I1dPeZ7l7m7mWdOnXKwkuLCCQueA+ZtJjuE59lyKTFzF9dFXZIEoARA4u4c1QJRYUFGFBUWMCdo0paTPXdEjObCDxBIhn9M/CsmR0D4O5NDdE15Qpgkrs78IaZbQF6Aa8c5PFEJANRq8CSYI0YWBSZ9znTpPTPyX+v3m//WBJJqtnrS414GzgHeNnMvgL0BP52kMcSkQw1VYEVlV9WEg8ZJSV3734wL2Jms0lU1XU0s0rgdiA/ecwZwM+AWWZWARhwi7u/czCvJSKZi1oFlsRXRknJzPKAC4Di+s919/9q6nnuPrqZx7cD52USi4hkT5fCAqpSJKCwKrAkWLfOr2D2ym3UuJNnxujBx/HzESWhxJLp8N0zwKckKuRSVseJtFRRmmolaBPKeza4pgThVmBJcG6dX8FjK96u265xr9sOIzFlmpS6unv/nEQiEqK4X+iv7WNck3KczV65rdH9LSEpLTSz89z9+ZxEIxISXeiPVgWWBKfGU9/V09j+XMs0Ka0A5pnZYcBeEkUJ7u4p7ykSaSl0oV/iKs8sZQLKMwshmsxvnp0KnA60c/ej3L2DEpK0BlGbakUkKKMHH5fR/lzLNCltBtYnb3IVaTWiNtWKSFB+PqKES0/rVndmlGfGpad1C636zjLJL2Y2i8QNsguBz2r3N1cSnitlZWW+atWqMF5aWqE4V9+J5JqZveruZc21y/Sa0pbk1+HJL5FWQxf6401/lERDpjM6/ATAzI50949zE5KISLDifktAlGS6ntLpZrYB2JjcHmBm9+UkMhGRgERt9dU4y7TQ4R4Sy0zsAnD3tcCZ2Q5KRCRIuiUgOjJeDt3d97/9tyZlQxGRFkK3BERHpklpm5mdAbiZHW5m/05yKK810CJnIvGkWwKiI9Pqu/HANKAIqASeB67NdlBh0IVOkfjS3H/RkWlS6unuY+rvMLMhwPLshRQOzX0mEm+6JSAaMk1K/w0MSmNfi6MLnSISV1G6RyutpGRmpwNnAJ3M7MZ6Dx0F5KV+VoPnPwh8C9jh7v0aaTOMRHVfPvCOu5+VTmzZokXORCSOonbpIt1Ch8OB9iSSWId6Xx8AF6Xx/FnA+Y09aGaFwH3AcHfvC3w3zbiyRhc6RSSOonaPVlpnSu7+IvCimc1y97cyfRF3f8nMiptocgkw193fTrbfkelrHCpd6BSROIrapYtMpxnKOCGlqQeQb2ZLSZyBTXP3R1I1NLOrgKsAunXrlqNwRCRuonRdJUhRu3SR8c2zOdIGOAW4gMSMET82sx6pGrr7THcvc/eyTp06ZS2A2nHVqt17cL4YV9W9SiKtX5x//qN26SIqSakSeM7dP3b3d4CXgAFBBhC1cVURCU6cf/5HDCzizlElFBUWYEBRYQF3jiqJfPXdfwONLrzk7jccYhxPAdPNrA2JoorBwN2HeMyMRG1cVUSCE/ef/yjdo5XuNaVDWknPzGYDw4COZlYJ3E6i9Bt3n+HuG83sOWAdsA94wN3XH8prZqqwXT7vfbI35X4Rad2idl0lztKtvnu4/raZdUjs9o/SfP7oNNpMAaakc7xcaGwB3iAXfr91fgWzV26jxp08M0YPPi60JYlF4mRCec8G9+qAbgkJS0bVd2bWD3gUOCaxaTuBy9z99VwEF6T39xx4ltTU/my7dX4Fj614u267xr1uW4kpGHGtvhLdEhIlmU4zNBO40d2XQN0sDPeTmO2hRQv79H32yv1XBPliv5JS7kXtrnYJXpSuq8RZptV3R9YmJAB3XwocmdWIQjKhvCf5h1mDffmHWWCn7zWNjBM2tl+yK87VVyJRkumZ0t/M7MckhvAALgW2ZDek8OxrZjuX8sxSJqA8sxStcyPOw1dxr74SiYpMz5TGAp2AucC85PdXZDuoMPzkmdep2dcwKdTsc37yTDCXy0YPPi6j/dkW55sHQSuPikRFRknJ3d9z9xvcfZC7D3T3f3P393IVXJBSlYM3tT/bfj6ihEtP61Z3ZpRnxqWndQvselLch6+idle7SFxlWn1XBvwHUFz/ue7eP7thxdPPR5SEVtQQ9+ErVV+JREOm15QeByYAFQR7ySXnCgvy2Z2i/LuwIB43z4ZdfRgFqr4SCV+m15R2uvvT7r7F3d+q/cpJZAG7Y3jflNV3dwzvG1gM81dXMWTSYrpPfJYhkxYHej1Hw1ciEgWZnindbmYPAC8An9XudPe5WY0qBGEP34R9n0zY/RcRATDP4D4YM3sM6AW8zhfDd+7uY3MQW7PKysp81apDmpYvMoZMWpxy+KyosIDlE78eQkQiItljZq+6e1lz7TI9Uxrg7ppeIAfiXmggIgKZX1NaYWZ9chJJzOk+GRGRzJPSUGCNmW0ys3VmVmFm63IRWNyo0EBEJPPhu/NzEoWo0EBEhAyTUmsp/44q3ScjInGX6fDdQTGzB81sh5k1uZqsmZ1qZjVmdlEQcYmISLQEkpSAWTQz9GdmecBkYFEQAYmISPQEkpTc/SXg3WaafR/4LbAj9xGJiEgUBXWm1CQzKwJGAjPSaHuVma0ys1U7d+7MfXAiIhKYSCQl4B7gFnevaa6hu8909zJ3L+vUqVMAoYmISFAyLQnPlTLgCUusJdQR+KaZVbv7/HDDEhGRIEUiKbl799rvzWwWsEAJSUQkfgJJSmY2GxgGdDSzSuB2IB/A3Zu9jiQiIvEQSFJy99EZtL08h6FIE+avrtKMEiISqkgM30n4wl7PKQqUlEXCF5XqOwnZlEWb6hJSrT17a5iyaFNIEQWrNilX7d6D80VSDnL1XxFRUpKkuK/nFPekLBIVSkoCaD2nuCdlkahQUhJA6znFPSmLRIWSkgCJYoY7R5VQVFiAAUWFBdw5qiQ2F/rjnpRFokLVd1Inzus5aZFFkWhQUhJJinNSFokKDd+JiEhkKCmJiEhkKCmJiEhkKCmJiEhkKCmJiEhkKCmJiEhkKCmJiEhkKCmJiEhkBJKUzOxBM9thZusbeXyMma1Lfv3RzAYEEZeIiERLUGdKs4Dzm3h8C3CWu/cHfgbMDCIoERGJlqCWQ3/JzIqbePyP9TZXAF1zHZOIiERPFOe+GwcsDDsIiR8thy4SvkglJTM7m0RSGtpEm6uAqwC6desWUGTS2tUuh167+mztcuiAEpNIgCJTfWdm/YEHgO+4+67G2rn7THcvc/eyTp06BRegtGpaDl0kGiKRlMysGzAX+Bd3/2vY8Uj8aDl0kWgIZPjOzGYDw4COZlYJ3A7kA7j7DOA24FjgPjMDqHb3siBiE4HEsudVKRKQlkMXCVZQ1Xejm3n8e8D3gohFJJUJ5T0bXFMCLYcuEoZIFTqIhEXLoYtEg5KSSJKWQxcJXyQKHUREREBJSUREIkRJSUREIkNJSUREIsPcPewYDpqZ7QTeysGhOwLv5OC4LYX6r/6r//GUy74f7+7NTsPTopNSrpjZqjjfvKv+q//qfzz7H4W+a/hOREQiQ0lJREQiQ0kptbivfKv+x5v6H1+h913XlEREJDJ0piQiIpGhpCQiIpER66RkZueb2SYze8PMJqZ4/AgzezL5+EozKw4+ytxJo/9nmtlrZlZtZheFEWMupdH/G81sg5mtM7MXzOz4MOLMlTT6P97MKsxsjZktM7M+YcSZC831vV67i8zMzaxVlYin8d5fbmY7k+/9GjMLbmkhd4/lF5AHvAmcABwOrAX67NfmWmBG8vuLgSfDjjvg/hcD/YFHgIvCjjmE/p8NtEt+f00M3/+j6n0/HHgu7LiD6nuyXQfgJWAFUBZ23AG/95cD08OIL85nSl8D3nD3v7n758ATwHf2a/Md4OHk93OAcyy5NG4r0Gz/3X2ru68D9oURYI6l0/8l7v5JcnMF0DXgGHMpnf5/UG/zSKC1VEWl87MP8DPgl8CnQQYXgHT7H4o4J6UiYFu97crkvpRt3L0aeJ/Esu2tQTr9b80y7f84YGFOIwpWWv03s+vM7E0Sv5xvCCi2XGu272Y2EDjO3RcEGVhA0v3sX5gcup5jZscFE1q8k1KqM579/xJMp01L1Zr7lo60+29mlwJlwJScRhSstPrv7ve6+4nALcCtOY8qGE323cwOA+4GbgosomCl894/AxS7e3/gD3wxYpRzcU5KlUD97N8V2N5YGzNrAxwNvBtIdLmXTv9bs7T6b2b/CPwfYLi7fxZQbEHI9P1/AhiR04iC01zfOwD9gKVmthU4DXi6FRU7NPveu/uuep/3+4FTAoot1knpz8DJZtbdzA4nUcjw9H5tngb+Nfn9RcBiT14FbAXS6X9r1mz/k0M4vyKRkHaEEGMupdP/k+ttXgBsDjC+XGqy7+7+vrt3dPdidy8mcT1xuLuvCifcrEvnve9cb3M4sDGo4NoE9UJR4+7VZnY9sIhENcqD7v66mf0UWOXuTwO/Bh41szdInCFdHF7E2ZVO/83sVGAe8CXg22b2E3fvG2LYWZPm+z8FaA/8Jlnf8ra7Dw8t6CxKs//XJ88U9wLv8cUfaC1amn1vtdLs/w1mNhyoJvG77/Kg4tM0QyIiEhlxHr4TEZGIUVISEZHIUFISEZHIUFISEZHIUFISEZHIUFISyYCZFZrZtfW2u5jZnBy91ggzuy2Lx7vLzL6ereOJ5IJKwkUykFy+ZIG79wvgtf5I4qbNd7J0vOOB+939vGwcTyQXdKYkkplJwInJNWammFmxma2HujVo5pvZM2a2xcyuT67JtNrMVpjZMcl2J5rZc2b2qpm9bGa99n8RM+sBfFabkMzsu2a23szWmtlLyX15yRj+nJw48+p6z785uRbSWjObBODubwHHmtlXc/6/JHKQYjujg8hBmgj0c/dSqDtzqq8fMBBoC7wB3OLuA83sbuAy4B5gJjDe3Teb2WDgPmD/YbUhwGv1tm8Dyt29yswKk/vGAe+7+6lmdgSw3MyeB3qRmKdusLt/UpsMk15LHvu3B/0/IJJDSkoi2bXE3T8EPjSz90nMtgxQAfQ3s/bAGXwxdRHAESmO0xnYWW97OTDLzP4XmJvcd17ymLWrAh8NnAz8I/BQ7VpQ7l5/EuEdQJdD6J9ITikpiWRX/ZnE99Xb3kfi5+0wYHftmVYT9pBIMgC4+/jkWdUFwBozKyWxBMH33X1R/Sea2fk0vgxJ2+SxRSJJ15REMvMhiaUNDkpyNdctZvZdAEsYkKLpRuCk2g0zO9HdV7r7bcA7JJYeWARcY2b5yTY9zOxI4HlgrJm1S+6vP3zXA1h/sPGL5JqSkkgG3H0XiWs3683sYBf9GwOMM7O1wOukXor6JWCgfTHGNyVZuLA++dha4AFgA/Bacv+vgDbu/hyJpQhWmdka4N8BksnrJKC1LMEgrZBKwkUiysymAc+4+x+ydLyRwCB3/3E2jieSCzpTEomuXwDtsni8NsDULB5PJOt0piQiIpGhMyUREYkMJSUREYkMJSUREYkMJSUREYkMJSUREYmM/w/wXr3Bwwva5wAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 3 $$$ 3 $$$ 3 $$$ 3 $$$ 3 $$$ 3 $$$ 3 $$$ 3 $$$ 3 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.51890909091e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.452 +/- 0.051 uk (3.5215842944 %)\n",
      "mean Na temp = 1.519 +/- 0.026 uk\n",
      "111111    1.65761363636e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.65761363636e-06 *******\n",
      "init mol temp = 1.62158333333 (2.10366530753 %)\n",
      "mean mol temp = 1.65761363636 (3.02816808658 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 325.019259082E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 173.916528035k\n",
      "TOTAL Na num = 173.916528035k\n",
      "\n",
      "init mol temp/init Na temp = 1.06759735855\n",
      "init mol temp = 1.62158333333e-06 uk\n",
      "init na temp = 1.51890909091e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.29432644339\n",
      "\n",
      "init na num = 262.751798417 at 1.51890909091 uk\n",
      "init Na density = 3.88797930889e+11 cm^-3 (6.96063512797 %)\n",
      "\n",
      "init overlap density = 3.05671360092e+11 cm^-3 (9.00352153744 %) (34.2061894995 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.786195953752\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 43.8684240662 at 1.62158333333 uk\n",
      "init molecule density = 4.14675681321e+11 cm^-3 (9.42121242305 %)\n",
      "two-body rate coefficient = 2.54268676128e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.108687409872\n",
      "loss rate coefficient = 9.16564677851e-12 (14.1135725712 %) (35.8914046914 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 3.56127556602\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0704272762686\n",
      "\n",
      "loss rate from EXP fit = 3.48427360515\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.54268676128e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.108464913218\n",
      "loss rate coefficient = 9.71826776114e-12 (12.5237569495 %) (35.2965223234 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.54268676128e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.113317908274\n",
      "loss rate coefficient = 9.66417053301e-12 (12.9463352919 %) (35.4486614344 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 4 $$$ 4 $$$ 4 $$$ 4 $$$ 4 $$$ 4 $$$ 4 $$$ 4 $$$ 4 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.51877777778e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.52 +/- 0.059 uk (3.8832484695 %)\n",
      "mean Na temp = 1.519 +/- 0.025 uk\n",
      "111111    1.68219333333e-06\n",
      "222222       [23 26]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.68219333333e-06 *******\n",
      "init mol temp = 1.58243333333 (2.22545853616 %)\n",
      "mean mol temp = 1.68219333333 (4.25689362332 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 336.002389556E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 183.391372314k\n",
      "TOTAL Na num = 183.391372314k\n",
      "\n",
      "init mol temp/init Na temp = 1.04191235643\n",
      "init mol temp = 1.58243333333e-06 uk\n",
      "init na temp = 1.51877777778e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.29668320956\n",
      "\n",
      "init na num = 277.06632276 at 1.51877777778 uk\n",
      "init Na density = 4.10032526851e+11 cm^-3 (6.85230891677 %)\n",
      "\n",
      "init overlap density = 3.25604063649e+11 cm^-3 (8.87601915909 %) (34.1728505705 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.794093254381\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 45.9725277874 at 1.58243333333 uk\n",
      "init molecule density = 4.50791472436e+11 cm^-3 (8.39404472166 %)\n",
      "two-body rate coefficient = 2.4812984967e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0776261477213\n",
      "loss rate coefficient = 1.50952423189e-11 (11.7916031231 %) (35.0434288307 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 6.10910396966\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0567647000701\n",
      "\n",
      "loss rate from EXP fit = 5.51977239424\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4812984967e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0758864269073\n",
      "loss rate coefficient = 1.61733517232e-11 (9.76256444589 %) (34.4137714376 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4812984967e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0795764604218\n",
      "loss rate coefficient = 1.62463596663e-11 (10.0520792479 %) (34.4970186713 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 5 $$$ 5 $$$ 5 $$$ 5 $$$ 5 $$$ 5 $$$ 5 $$$ 5 $$$ 5 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.511e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.466 +/- 0.064 uk (4.3599548627 %)\n",
      "mean Na temp = 1.511 +/- 0.026 uk\n",
      "111111    1.6010942029e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.6010942029e-06 *******\n",
      "init mol temp = 1.54908333333 (2.17431511151 %)\n",
      "mean mol temp = 1.6010942029 (2.10363722848 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 359.25016473E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 190.714101793k\n",
      "TOTAL Na num = 190.714101793k\n",
      "\n",
      "init mol temp/init Na temp = 1.02520405912\n",
      "init mol temp = 1.54908333333e-06 uk\n",
      "init na temp = 1.511e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.21957737689\n",
      "\n",
      "init na num = 288.129448052 at 1.511 uk\n",
      "init Na density = 4.29701500967e+11 cm^-3 (6.91909496584 %)\n",
      "\n",
      "init overlap density = 3.43461170411e+11 cm^-3 (8.86405930656 %) (34.1697460832 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.79930177027\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 42.4796027537 at 1.54908333333 uk\n",
      "init molecule density = 4.30064620569e+11 cm^-3 (7.94391338324 %)\n",
      "two-body rate coefficient = 2.42900478984e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0833712277082\n",
      "loss rate coefficient = 3.33607132044e-11 (12.1687782249 %) (35.1721361803 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 12.7706326806\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0609891178267\n",
      "\n",
      "loss rate from EXP fit = 12.1354848776\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.42900478984e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0819465275237\n",
      "loss rate coefficient = 3.53363895922e-11 (10.2186352543 %) (34.5459188105 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.42900478984e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0855597526009\n",
      "loss rate coefficient = 3.51419752999e-11 (10.5106082307 %) (34.6334070715 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 6 $$$ 6 $$$ 6 $$$ 6 $$$ 6 $$$ 6 $$$ 6 $$$ 6 $$$ 6 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.55233333333e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.546 +/- 0.093 uk (6.02637811114 %)\n",
      "mean Na temp = 1.552 +/- 0.033 uk\n",
      "111111    1.962575e-06\n",
      "222222       [18]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.962575e-06 *******\n",
      "init mol temp = 1.6443 (5.48875982068 %)\n",
      "mean mol temp = 1.962575 (5.9292684232 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 300.172998733E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 163.794688098k\n",
      "TOTAL Na num = 163.794688098k\n",
      "\n",
      "init mol temp/init Na temp = 1.05924414859\n",
      "init mol temp = 1.6443e-06 uk\n",
      "init na temp = 1.55233333333e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.47527135372\n",
      "\n",
      "init na num = 247.459797842 at 1.55233333333 uk\n",
      "init Na density = 3.54407659141e+11 cm^-3 (7.34415797328 %)\n",
      "\n",
      "init overlap density = 2.79538998016e+11 cm^-3 (9.43114589256 %) (34.3212253984 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.788749878299\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 34.9929914284 at 1.6443 uk\n",
      "init molecule density = 3.23947719565e+11 cm^-3 (10.3914780301 %)\n",
      "two-body rate coefficient = 2.57830711233e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.070460203341\n",
      "loss rate coefficient = 1.36462661831e-10 (11.772549231 %) (35.037022068 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 41.6150167881\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0577040430764\n",
      "\n",
      "loss rate from EXP fit = 38.6381494589\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.57830711233e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0671610807982\n",
      "loss rate coefficient = 1.45580372991e-10 (9.48764861867 %) (34.336794788 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.57830711233e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0709054449253\n",
      "loss rate coefficient = 1.45003741005e-10 (9.75628975442 %) (34.4119919472 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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ohoaGo+aDys7O1gcPHtRDhw7VO3fu1G+//baeO3eu1lrr6upq7XQ6tdZaf/bZZ3rWrFmt1jc2Nta//sADD+jHH3+81WvR3XQkH1Qou/jOBK4GtiilfG3sXwOXK6XGYHTfFQA3egPlt0qpfwDbMEYA/lyHeAQfNHfrfHnoV6RU7CKj138pid/F1pQGYDODmtZy3nYHUevsbG4cwBt6MIcSRkKfkeT2TmJQejynpMcxMC0Oe1Rkp5AWbXMfZV7Ko5X3NAsXLuT9998H8OeDSklJaZEP6rPPjMG6hYWFXHrppRQXF9PU1OTP4RTo+uuv57HHHmPmzJm8/PLLvPjii23WIZT5oH7yk5/495sxYwZg5HYaMWIEGRkZAAwYMID9+/eTkpLS4txms5k777yThx9+mAsuuMBfXl1dzdy5c9m5cydKKX+LURxbyAKU1noFrd9XOuqkW1rr/wX+N1R1ak3g807lzoGUlw2EMjBZK1jw0yb+s+tfLIr6Hp0EfVz7OKcun6vq/87o3W62f5/DRs9AXvQMYDMDcSbkckrveE5Ji+OU9OYlUaZL6RYyj/LIQaY8chCUDyomJoYpU6a0Kx/U7bffzowZM1i2bBkLFixocd5IzQcVmM8p8J5QYH6n1lx99dU8/PDDQfeh5s+fzznnnMP7779PQUEBU6ZMObHK90A9fqqjoz0HlRGbyZy8HzIn7zrKHGV8WfglS/ct5f3ilbzZq5EYZeZ0t2Jy1Tfcd3gJaW4P9U1xfFd0Cmv2ZLPUlcsfPbkUkUpqXDQDjwhap6TH0SfB1qH/bKJz3TltSNC0VyCPHPh0RT6o+fPn+8vaygf185//nD179pCbm0tFRcVxt6IgOB/UD37wgxb5oE6U1Wrltttu45FHHuGHP/whEHwdXnnlleM+Z0/J/dSadgUo71DwfoH7a+8zTt1de34ppdpTmTVoFrMGzcLhcrC6eDXLC5ezvHA5/zE1QHICw2zpnIWds6oruObgv7nRZPyV5bAmsi96EFurc/lvcRYvNfZjv04HFLFRZgamx3FKWhwDvd2Ep6THkZ0Sg9Xc42eh6nK+kXoycXBL06dPZ9GiRYwaNYohQ4YcVz6ozMxMTjvtNH+SwSNdeeWV3Hfffa3mg7Lb7axcudJfHpgPyuPxkJ6e7u9SPF6vvvoqN910E/X19QwYMMCfer6jrrvuOn7/+9/7t++66y7mzp3LH/7wB3/QOh5HXgu7vee06I+ZD0op9TtgHrCL5mHfWmt9/Fe6k3VWPqgTnc1ca832yu2sKFrBV4Vfsal0E27tJs4ay6TEoZxh6cXph2vpd2gHlOaDxwharqgEyuKGsMcygI3ObFbUZrDqcAoub/y3mBQ5qbEMTIv1t7YGphlLbHToGr0yq3vkknxQorvqSD6o9gSo7UCe1rqpQ7UMgUhLWFjTVMOq4lV8XfQ1/z3wX4rrigHIjMvktN4TOc3el4lODymlO+HgZjj0LbiMfnxtjsKROIiSmMHsMmWzsSmLL2v7sLXCjDtgyHtGL1tzwEqPM4JYWhxp8dEd6i5cvKGIO9/ehDPgs6wmxeM/GS1BKgKcrAEqMB/U4MGDw10dEQKhDlDvAjdrrUs6VMsQiLQAFUhrzd6avawsXsk3B75h9cHVHHYeBuCUxFOYlDGJiWnjmGBNoldFgRGwDm4xlvqy5vPEZ1CfNIRDtoHsMmWzqbEvK2tS+K60ibqm5m7JeJvF38oamB7r7zbsn9y+7sIxv11ClaPl6KJEu5WND0zt+AURHXKyBqjOEKp8UKJzhDpATQA+ALYCjb5yrfWME6ptJ4rkAHUkl8dFfnk+qw6u4pvib9hUsokGdwMKxeCkwYzvPZ7xvcczrvc4Ul1uOLTVu2yDkm+hdDu4vY1YZUanDKQhcRCl9oHsUllsaerLmpoktpc2UFLr/2fCYlJkp8QEdRMOTI9jQFosCTarf7+ce/591LoXPHJRyK6LaB8JUKK7CnXK91eBR4EtgOeEaiiwmCzkpeWRl5bH9XnX0+RuYmvZVtYcXMPaQ2t5//v3+dt3fwMgOyGbcenjGJs+lrEjf0x2QjbK44LyXVCyDUq2oQ5tw16aT/+Kj+iP5hwAkwVSTsE5YDDl9hwKTP3Y5uzDulor20vr+E9+Ca6ALrz0+ObRhUKIYJX1TZLyPcza04JarrXu+PjLEOhOLahjcXqcbCvfxrpD69hQsoENJRuobqwGICk6idHpoxmdZiwjUkYQY43xHuiAsh1Q8h2UBiyVBaB9f08oSMrGkzqYmthcisxZ7HBnsMmRxqYKC9+X1lHb0PqzHTariccvGc3AtDhyU2PlYeQwkRZU16qsb6Ko0oEn4PejSSkyk+wSpI5TqFtQ65RSDwMfEtzFd1IMM48UVpPVH4AAPNrDnuo9bCzZyIaSDWws3ciy/csAMCszg5MGk5eax8jUkYxKG0VO3iWYTQHBw9kA5TuN4FW6A8p2YCrbQeKeL0l0NTACuBjA1gudOYjdOoPF++zs8vShQPdhj+6DAxuNTg+/eHOD/7SZiXajizA11j9IY2BaHOkdHKQhRCQ5VN0QFJwAPFpzqLpBAlQXak+AGut9DXzwQQNhH2Z+MjMpEwMTBzIwcSCzBxvT+Fc2VLKlbAubSjexuXQzH+35iH/s+AcAMZYYRqSOYGTKSIanDmdE8giyeo9E9ckLPrHHA9X7jcBV/j2U7USV72Rg+Xp+ZQlOK+GwpROdPojqmP4cNGew292brQ2prK5x84+CCuoDBmnERVsYmBbLgLS4gFfjmS6bVVpdJ4v333+fWbNmkZ+fz9ChQzvlnM8++yxPP/00u3btorS0lNTU1KPuq7Xm1ltv5aOPPiImJoZXXnmFcePGtdhvypQpFBcX+58ZWrJkCenp6S32czqdnHbaaaxbtw6AG2+8kTlz5hCf3TwTxJ//8Aiv/HkhH63cREqqMUF1XFwchw8fZv/+/cyZM4eDBw9iMpm44YYbuPXWW/3H/vGPf+TZZ5/FYrFw0UUX8dhjj7X6verr6/nZz37G5s2b0VqTmJjIJ598QlxcHGazmby85v/HixcvJicnh82bN3PjjTdSU1ODyWRizZo12Gy2oPMuWLCAF198Ed/E2g899BAXXnghTU1N3HjjjaxduxaTycQzzzzT6gwXr7zyClOnTj3mTOoPPfQQv/71r9vc50QcM0Bprc/p9E8VJyTJlsTkrMlMzpoMGK2sguoCtpRtYWvZVr4t/5a/5v8Vp8cYjZcQlcCwlGEMTx7OsJRhDE0eSnZCNqakbEjKhkHnB39AUx1U7DYCV/ku7OW7oGIXSfs/J6mulGGAb7iETuhNU0I2VdGZHDD1YZcrja31yazZlcD7G6LxzXKlFGQl2RmYFseAVGNwxgBpdYVcqJ5pe/PNNznrrLP4+9//3urURW05WoqLM888kx/96EftmgLo448/ZufOnezcuZNVq1Zx8803s2rVqlb3feONN5gwoe1epBUrVnDGGWf4t1etWsVzzz3HzpI6mtzNt9wTk5N57YVnuXv+74KOt1gsPPnkk4wbN47a2lrGjx/P+eefz/Dhw1m6dCkffPABmzdvJjo6mpKSow+EfuaZZ+jduzdbtmwBYPv27VitxiAmu93eImWIy+Xiqquu4vXXX2f06NGUl5f79z/Sbbfdxh133BFU5pvzcMuWLZSUlHDBBRewZs0aTKbgEb/tTfURtgCllLq/tXKt9YOdXhtxXEzKxIDEAQxIHMCPT/kxAE63k51VO/m2/Fu2lW8jvzw/KGjZLXYGJw1maPJQBicNZkjyEAYlDjLuaUXFQp88YzlSQ7URvCr2QMVuVMUeoiv30LtsFb1rDzAWuMS7q46PpTEui8roTIpVOrvdqWwrT2Lt7gTeciZTh/FXbVy0xQhYqUaLyxe4clNjpdXVAb7Ei77ZUXyJF4EOBanDhw/z9ddfs3TpUmbMmOEPUMuWLeP+++8nJSWF7du3M3nyZJ577jlMJhNxcXHcfvvtfPrppzz55JOcddZZLc47duzYFmVH88EHHzBnzhyUUpx22mlUVVVRXFzsn8z1eH3yySf+iV3z8/MZPHgwZrOZ3r1sQfegZl56FR++/Tfm//peIMF/fEZGhv+z4+PjGTZsGEVFRQwfPpw///nP3HPPPf65/FprwfkUFxeTnZ3t3x4ypO3ptZYsWcKoUaMYPdq4JdDa5LVt2bZtmz9VSXp6OomJiaxdu5ZTT21OYh6Y6sNut7N8+XJOPfVUPvzwQ4YMGcLll1/OD3/4Q3bt2oXD4WDMmDGMGDGCN95447jq0pb2dPHVBazbgB9hpG8XEchqtjI8ZTjDU4b7y5weJ7urdrOtfBvbK7fzXcV3/Hv3v3nLaWQZVSj6J/Qnlix2FcVTVZ1KalQ2d517BrPGeZNC2npB37HGciSnAyr3QtVeqNiDqizAVrWXjMoCMipXMc7p/REyG4szOonq6AwOmdLZ25DC9u8T2bK5F5/oVAp1KrUqlr69YvwBywhixmufBBsmk7S62hKqxIuLFy9m+vTpDB48mOTkZNavX+/vXlu9ejXbtm0jOzub6dOn895773HJJZdQV1fHyJEjefDBzvl7tqioiH79mtPGZWVlUVRU1GqAuuaaazCbzcyePZv77ruv1db60qVLeeCBBwCjdTZ9+nQA/32mQ9XGg/TxcXHMmXcNr774Z37729+2WreCggI2bNjApEmTANixYwdfffUVv/nNb7DZbDzxxBNMnDix1WOvvfZapk6dyjvvvMO5557L3LlzGTRoEID/lz9Abm4u77//Pjt27EApxbRp0ygtLeWyyy7jrrvuavXczz77LK+99hoTJkzgySefJCkpidGjR/PBBx9w2WWXsX//ftatW8f+/fuDAtQll1zCs88+yxNPPOFviT777LPMmzePW2+9lcrKSn72s5/5y1tLDNlR7eniezJwWyn1BMaACdFNWE1WhiQPYUhy819lWmuKDhexvXI7Oyp2sKxgM1tLv0PFlWOP19QB92+y8Pz3OYzPGOa/HzYwcSB9Y/sGD8iw2iF9qLEcSWuoL28OYFV7sVbtI9W7jDi8igtdDgi479xojqXCk0bRwVR27UtkryuZ9TqVYp1ChSUNW0o/+qcnMjCg5ZWbGku8rfUujp7mwFESLB6tvL3efPNNfvnLXwJw2WWX8eabb/oD1KmnnsqAAQMAuPzyy1mxYgWXXHKJP0B0ltZGHbcWeN544w0yMzOpra1l9uzZvP7668yZMydonwMHDpCcnExMjDEi9tNPPw2ajy8pJoqkmCh6J9iIi7Nx/fW3MGbMGH71q1+1+LzDhw8ze/Zsnn76aRISjBaWy+WisrKSb775hjVr1vDTn/6U3bt3t1rfMWPGsHv3bpYsWcLnn3/OxIkTWblyJcOGDTtqF9+KFStYs2YNMTExnHvuuYwfP75FAsebb76Z+fPno5Ri/vz5/OpXv+Kll17i2muvJT8/nwkTJpCdnc0ZZ5yBxXLs9sr555/P22+/zc9//nM2bdp0zP076kQmdosBBnR2RUTXUkqRFZ9FVnwW5/Y/lxc+XEJdvRNUE6boQ5iiD2GOPkRx4yFWqVX8c/c//cdGm6PJ7ZUbvCTkkp2Qjc1iO/KDIDbVWLLGt6yI1lBXBtX7oGo/VO8numo/GdX7yaguZHz1epSjIviYKiivSqTou2QO6BTW6WT+rZOps/XG0iuT2LT+pGZk0793MgPS4shKsveoyXePNkN/3w6kDSkvL+eLL75g69atKKVwu90opfw3/Y/8pevbttlsnZpaPSsri/379/u3CwsLW70/4ps9PD4+niuuuILVq1e3CFAff/wx06ZNA4xBClVVVW3ea0lMTOSKK67gueeeCyp3Op3Mnj2bK6+8klmzZgXVddasWSilOPXUUzGZTJSVlXG0TOBxcXHMmjWLWbNmYTKZ+Oijj476aEFWVhZnn322f0DJhRdeyPr161sEqN69e/vXf/azn/nzdlksFp566in/e2eccYa/xdYWj8dDfn4+drudiooKsrKyjnlMR7TnHtQWmieJNQNpgNx/OslU1nunOdJReBr64WnohwvjuYLNN11ETVMNu6t2s7t6N7urdrOrehebSzfzyZ5P0N4fD4UZncy3AAAgAElEQVQiIzaDnF455CTkkJ2Q7V8yYjOCW10+SkFcmrFktgxgCozBGzUHjNGH1UVQU0RKdSFJ1UUMqSzEVJuP1XUY3ECFd9kOFTqOQzqZFSRTF52OJ7Y3lsRMYlP7kdy7Pxn9cklJ74tqrV7dWCjShrzzzjvMmTOH559/3l929tlns2LFCsDo4tuzZw/Z2dm89dZb3HDDDSf+BdowY8YMnn32WS677DJWrVpFr169WnTvuVwuqqqqSE1Nxel08q9//Yvzzjuvxbk++eQTfvc7Y9DD0qVLOeecY48Hu/3225k4caI/J5TWmuuuu45hw4Zx++23B+07c+ZMvvjiC6ZMmcKOHTtoamo66gjFr7/+muHDh5OUlERTUxPbtm1rc9DItGnTeOyxx6ivrycqKorly5dz2223tdgv8P7c+++/78+3VV9fj9aa2NhYPvvsMywWC8OHD29x/JGpPp566imGDRvGQw89xLXXXsvKlSuxWq1YrVacTudRB2qcqPa0oH4UsO4CDmmtj56xS5yUEqISGJM+hjHpY4LKHS4H+2r2sbt6NwXVBeyp2UNBdQGbSjdR52y+fWk1WcmKzyI7Ppus+Cz6J/SnX3w/+sX3o29sX6zmNn6wo2IhdZCxBDAB/lRyDTVGEKs9ADXFOMr34S7dT6+qIpJri7E3riGuqgpTlTbyOHu5MFFlSqI+KhVnTG/MCRnEJGfQK70f0Yl9Ib43xPWG2HSwdI/nX0KRNuTNN9/knnvuCSqbPXs2f/vb37j00ks5/fTTueeee9iyZQuTJ0/m4osvbve5Fy5cyGOPPcbBgwcZNWoUF154IX/5y19a3ffCCy/ko48+4pRTTiEmJiaoS27MmDFs3LiRxsZGpk2bhtPpxO12c9555/nvlfi43W527tzpHyr/8ccfc8kll3AsqampXHzxxf7Wx9dff83rr79OXl6e/z6Rbyj3tddey7XXXsvIkSOJiori1VdfPeqo1V27dnHzzTejtcbj8XDRRRe12TWalJTkD5ZKKS688EIuusgYY3v99ddz0003MWHCBO666y42btyIUoqcnBz/HxglJSVMmzYNk8lEZmZm0EzygccHpvp49dVX+ctf/sLq1auJj49n8uTJ/P73v+e3v/0tN9xwA6NGjWLcuHGdOkjimDNJACilzEBvgvNB7eu0Wpygk2kmiXDr7MlitdaUN5RTUF3A3pq97Kvdx76afeyt3UthbSEOV3MXlEmZyIjNICsuy9/tmBmXSWZcJn3j+pJiS+mc4ehuJ+6ag5QdKKDs4D5qS/fRVFkEtYeIaiill6ucNFVFqqpp9fCmqESITcfSqw+muHQjcMWlGcErLh1i05pf2wq4JyCSZ5JYtmwZTzzxBP/617/CXZV2W7FiBX/9619ZtGgRAOPGjWPVqlWd3gIQIZ5JQin1C+AB4BDNc/FpYNQxjusHvAb08R73gtb6GaXU48D/AZowckxdo7WuUkrlYIwO3O49xTda65uOVT/RORbMGNFquo0FM0a0cdTRKaVItaeSak9lQp/gn0OtNWWOMvbV7qOwtpD9tfvZX7ufosNFLNu/jPKG8qD97RY7GbEZ9I3rS9/YvmTEZdA3ti994/qSEZtBqj219e7DI5mtmJP60TupH71b+VoNTjcF5XWsPVTFweL9VB7ah6OiGFfNQeKayklzVZHqqKZ3eTG9zTtIpYpo3dD6Z9kSm4NVbKrxGpPavB6b2rxtT4II6mbsCXPQnXXWWUFD3tevl4lxIlF75uL7HpiktS5vc8eWx2UAGVrr9UqpeGAdMBPIAr7QWruUUo8CaK3v9gaof2mtR7b3M6QF1bkiJWFhvbOeosNFQUvx4WKKDhdxoO6Af45CH4uy0Du2N31i+9Antg+9Y7zrMX385UnRSR1qhVXWNbG7rI49ZXXsLj1MQXkdu0vrKCkvJ85VSSrVpKpqMiy1nBLjoH90HX3MNSRTQ7y7kqimSkxHDvbwUSYjSMWkQkwKxKYYrzEp/rJ8NZhhQwcbEwKbLMYxIXjIOZRz0F188cUtsuo++uij/oEKgU7WFBqffvopd999d1CZb+j4ySrU6TaWAud39L6TUuoD4Fmt9WcBZRcDl2itr5QAJdqr3llPcV0xBw4foLiumIN1B/3bh+oPcaj+EC5P8I9rlCmKtJg0esf0pndMb9Ji0kiPSW9et6eTGpOK3XJ8I908Hk1xTQMFZXXs9gUvbyDbX+kISjaZalfkJbsZ3quJQbEN9LfVk2GtI4UaopoqjdGM9RVGPrD6cmNdGwMd8qf9g2HZgQ96KqPV5QtY/nUzqCO2g8rbHs34XXFN0AwK/utnNjE0I6GVI4RoW6gni90NLFNK/ZvgyWL/0N4KeoPPWODIOUmuBd4K2M5VSm0AaoD7tNZftXKuG4AbAPr379/eKoiTSIw1xv9MVms82kO5o9wIVnWHOFh/kEN1RuAqqS9ha/lWSvaX0OhubHFsvDWe1JhU0uxppNqbX1NjjO7KFFsKqfZUekX3wqRMmEyKzEQ7mYl2zjwleIRWk8tDYWU9e7wBa1dpHQVldbxXVEdxdQOQ6N+3d0I0uamx5KbGkTswxnhNsdEvxkl0UzUcqEUn5qBwg8flXdzNr65G8NQb27T1R6cKCFyBwcxYEjxOXJhwY8KN2ftqwuXWxiMBMjWVOA7tGePQlva0oB44yge3/jh1y+PjgOXA/2qt3wso/w0wAZiltdZKqWggTmtdrpQaDywGRmitW79jjbSgxInTWlPTVENJfQmljlJK60uDXsscZZTUl1DuKKfB3fI+k0VZSLIlkWJPIcWWQoo9hWRbMim2FJLtySRFJ5FsTyY5OpkkW1KL58Pqm1wUlNVTUF7nD2C+paKuyb+fSUFmkp3bJiUyIqcPycnJ2Kxmoiwmosymlt2WWhtpVnzBS7tbBrOgsoBtfax0b95WmzIHBDjzMcpMwdsS4HoMrTXl5eXU1taSm5sb9F6ndfF1hFLKCvwL+DSwxaWUmgvcBJyrta4/yrHLgDu01keNQBKgRKhpralz1vmDVnlDOWX1xmu5o9z/WtFQQbmjnCZPU6vnibHEkGRLIik6yXj1rifaEv2vidHGuskTS3mtmf0VjewuM1pdJdV1TMuJIjPBjAqYiNdiUlhMCrPZhMWksHrXzUodfyzQGkeTk1pHE2gPJrSxKA+xVhNWE0YQ057mQBi4tNly81KmgPtn3tfAssBXWisL2BYRz2azkZWV1WJ0ZGd28Z0QZfxp9/+A/COC03TgbuDswOCklEoDKrTWbqXUAGAQRveiEGGjlCIuKo64qDhye+W2ua8vmFU0VBgBq6GcyoZKKhsqqWiooLLRWC9zlLGzaifVjdVBw+2PFG+NJyE6gcT4RBJTE8mPSmCXOw6Py05jo43DjigqD5sprTJTXKlobIpGu+2grURbTGSnxJCTYkwDlZMa61/vndD2LPInPFjG2QCNNcYzaY3V3tea5tfG2ub3GmsDtr3rjTXQdPjYnwNgskJ0PETHQZTvNa75NSrOeH4uOmA9sNy/xEFUDFhjj3l/TnS9kLWglFJnAV8RnCr+18BCjOcrfaMCv9Fa36SUmo0xQ4ULY06AB7TW/6QN0oIS3Z3D5aCqoYqqxioqGyv969WN1VQ1etebqqlprKGqsYqaphpqGmv8s3e0xqKisKhYlMeOyxlNQ1M0HpcN7bahPTYsxJBiT6B3XBKZvZLon5jMgORUBqenkZOUQow1JnxpUDweI0j5AlbjYWjyBbDD3vdqAtYPN+/v367zHnPYP8ikXSx2b9CKMQKXb4b/qFjvujeQRcU0v+d/tbdct8YY61Gxnf5cXHcXEV18oSYBSvREHu2htqmWmsYaappqqG6sprqp2ijzBrCapualtukwVQ3V1DTWUueqRXOMe01aYVF2ok2xxFpjSYiOJ9keT7I9gVhrLHHWOGKtsc1LVCyxlubtGGsMMZYYYq2xRJvDmPNLa3A3GQGrsdYbuOqMQNZ0GJrqW1mvA2d9877O+ub3fOvOunbcrzuCydIcsPwBLODVYjvifbsRMK12sNq86+18NVsjvgu0Mx/UtQHXASMw0m0AoLW+tkM1FEKcEJMy0Su6F72iex33sVprHC4HtU211DbVUtVYw97KcgoqyimqqaS4tpry+ioqHbVUNx2mytTAAVMdylSJydyI2dIIpgY8tH6v7UhmZSbGEoPdajeClyXGH8B863aLHbvF7l+PsTSXBS42iy1o3aSO0SWnFFiijSUm+biv1VFpbYyadNYHBy2nI3jd957L4d12GEHP1RDwXgPUlQbs19B87PG0/oK+tykgYNm818BuvFrtwdv+94/2GrB+yvnGObtQe+5BvQ58B0zD6IK7EskHJUS3pJQyAoQ1ht6xxkzXE/q0vq/T7aGo0sGecmOgxt5yY8j83pI69lcexk0jymQsMTYX6YmQFg9J8R7i7R5ibW6io5xgasThclDvqqfeWU+ds46S+hIcLgd1zjocLgcOlwP3cf5CjjZH+4OVzWwLWrdZbMHrZhvRlmj/drQ5mmhzdNB64LbNbCPKHIXNYrxaTQFddEoZv6itNqATA9+R3M7mwOYLXv4g5g1urobgcpfDGzwdwe+5Gr37Nxr3/Vylzce7Gr2Lw2hxHs1deyIyQJ2itf6JUurHWutXlVJ/Az4NdcWEEOFlNZuMwRWpsXDEROhOt4fCSgcF5XXsLaujwBe8DtaxNj/4AeWYKDPZKbHkpMR4zxdDtnfARnq80QWotabJ04TD6fAHrHpXvX/9yKXB1UCDq8G/T6O7MaisoqGCBrex7Xtt7bm39jIrM1HmKKLN0f7XwPUocxRRJmPdarb637earEH7BG771n2vUaYoY9tsJcpklFvN3n2siVjjjHKLyRK6blOPxwhS/qDmXdyNRtLSLtaeAOWbQbRKKTUSOAjkhKxGQoiIZzWbvA8Wtx68inzByxe4yuvYfrCWz7YdwhUQvOxWM9kpMf4Rh75Alp2aSE5y52ZP9mgPje5GGl2NNLgb/EGt0d3YvHjfa3I3Gfu4GoPfdzf633O6nf7tRlcjtZ5aY91b5vQ4g9Y7k8VkMYKY2WoEssDFbMWiLP73LCZLu199i39bNZdNTxtMNF07Z2R7AtQLSqkkYD5GJt044P6Q1koI0W0FtbyO4HJ7KKpysLe8nr3ldewpq2dfRR3flxxm6XelQdMsRVlM9E+OMQKWL3B5W14ZvWxYjjMJpUmZ/PewuppHe3B6nDS5m/wBy7fe5Gkuc7qdNHmaWux75Hu+dZfH1fq2x2msu504XA5/+ZGvvnXfdlum9JtCtDm6zX06W3tSvvsSsyxHMukKITrAYjaR7W0pGblPm7k9muJqI3gVBNz32ltez1c7y2h0NQcvi0nRL9loeWUnewOYt+swK8lOtCVyZocHIzj6uv0ildYat3b7A5bL48Klm4NXnDWuy+vUnlF80cBsjG69wHxQklVXCNFpzCZFVlIMWUkxLeY19Hg0JbWN3m7D5sBVUF7Hmj0V1DU1D7BQCvr2spOTGkP/5OaWl68rMSYqZPMTdGtKKX+XXqRoT00+AKox0mWc+F1GIYQ4QSaTok8vG3162ThtQErQe1pryuua2FteR0FZPXsrjO7DgvJ6PtlaTGV9cNdVWnw0OSlG8PIFLV8XYuJJlvequ2tPgMrSWk8PeU2EEOIEKKVIjYsmNS6a8dkth31XO5zsK69nb4XR8vJ1Ha74vpR31wf/zZ1gswS1trL9QcwYcdiZgza6g3DniGtPgPqvUipPa70l5LURQohO1stuJS+rF3lZLYdJO5rc7PO2uPYGBLEtRdV8vPVg0HD5aO+gjcAA5tvOSrJjPc5BG5Fu8YYi7n1vCw6n0X1aVOXg3veMMNBVQao9AeosYJ5Sag9GF58CtNa6zZTvQojuKdx/NXcle5SZIX3iGdInvsV7TreHA74RhxX17C2rY29FPfu8ra8GZ/OgDZOCvol2b9CK9Q/e6O9tfcVFR859nfZ6/NPt/uDk43C6efzT7REVoC4IeS2EEBEhEv5qjhTWoBGHwbTWlNY2eu93BbbAWr/vlRIbZQSrZKPV1T+lOYilxYdxvsI2HKhqfab9o5WHQnuGme/tiooIIcIvEv5q7g6UUqQn2EhPsDExp+V9r5oG477XPm8A2+ftOlxTUMmHmw4Q0HOIzWp0HfpaXv29La/+yTFhHTLfN9FOUSvBqG9i1z1H1v3anUKIkImEv5pPBgk2KyMzezEys+V9ryaX72HlOn8A21tez/6Kll2HSkFGgs0fsLJTYo3nv7wtscQYa8haX3dOGxLUmgZj5o87pw1p46jOJQFKCOEXCX81n+yiLAHTRB3B13XY3PJqXr74rpSyw4VB+8fbLN7AFeMNXLHe1lgMGYm2Dg3c8LWYw3k/UvJBCSH8jrwHBcZfzQ/PypMuvghQ3+QyAtYRwWtfRT2FFY6gqaLMJkVmop3+yUbw6h+4pMTQyx6+JIphT/kuhOh+Zo7NZO3eCt5ctR+31piVYvb4TAlOESImysLQPgkM7ZPQ4j23R3OopsF/z2t/hcNoiVXU8+m3B6moC06l0ctu9QesIwNYR1tfnSVkAUop1Q94DeiDkfL9Ba31M0qpZOAtjKmTCoCfaq0rldGR+gxwIVAPzNNarw9V/YQQLS3eUMS764pwe3tW3Frz7roiJmQnS5CKcGaTom+inb6Jdk4fmNLi/doGpzdoBQev/OIalmw7iNOtg86V0csWFMCuPj2bBFvXtrpC2YJyAb/SWq9XSsUD65RSnwHzgP9orR9RSt0D3APcjTGcfZB3mQT82fsqRJfpSc8AtUZG8Z284m1Whve1Mrxv662vgzUN7Pd1GZbXs7/SWP88/xBlh5uYe0ZOl9c5ZAFKa10MFHvXa5VS+UAm8GNgine3V4FlGAHqx8Br2rgp9o1SKlEpleE9jxAhJ88AySi+nsp3vyoz0d5irkMw7n2FY5LdLulkVErlAGOBVUBvX9DxvqZ7d8sE9gccVugtO/JcNyil1iql1paWloay2qKHaav10FMcbbSejOLr2cI1A3zIA5RSKg54F/il1rqmrV1bKWsxxFBr/YLWeoLWekJaWlorhwhxYqT1YDz7YrcGPxja1c++COET0gCllLJiBKc3tNbveYsPKaUyvO9nACXe8kKgX8DhWcCBUNZPiEDSejC6Mh+elUdmoh0FZCbaZYi5CJtQjuJTwP8D8rXWfwh460NgLvCI9/WDgPJblFJ/xxgcUS33n0RXioQn5yPBzLEyrFxEhlB2LJ4JXA1sUUpt9Jb9GiMw/UMpdR2wD/iJ972PMIaYf48xzPyaENZNiBYi4cl5IUQzmUlCCCFEl5KZJIQQQnRIuJ8LlAAlhBCtCPcv53CLhOcCwz/ZkhBCRBjfL+eiKgea5l/OizcUhbtqXSYSnguUACWEEEeIhF/O4RYJzwVKgBJCiCNEwi/ncIuE5wIlQAkhxBEi4ZdzuEXCrCISoDD6m8985Aty7/k3Zz7yRY/qZxZCtBQJv5zDLRJmFenxo/giYaSKECKyyEPbhnDPKtLjA5TkvxFCtCbcv5yFdPHJzVAhhIhQPT5Ayc1QIYSITD0+QMnNUCGEiEw9/h6U3AwVQojI1OMDFMjNUCGEiEQ9votPCCFEZJIAJYQQIiJJgBJCCBGRQhaglFIvKaVKlFJbA8reUkpt9C4FvlTwSqkcpZQj4L1FoaqXEEKI7iGUgyReAZ4FXvMVaK0v9a0rpZ4EqgP236W1HhPC+gghhOhGQhagtNZfKqVyWntPKaWAnwI/DNXnCyGE6N7CdQ/qB8AhrfXOgLJcpdQGpdRypdQPjnagUuoGpdRapdTa0tLS0NdUCCFEWITrOajLgTcDtouB/lrrcqXUeGCxUmqE1rrmyAO11i8ALwBMmDBBd0lthRCiB1q8oSiskxh0eYBSSlmAWcB4X5nWuhFo9K6vU0rtAgYDa7u6fkIIISIjFVE4uvjOA77TWhf6CpRSaUops3d9ADAI2B2GugkhhKDtVERdJZTDzN8EVgJDlFKFSqnrvG9dRnD3HsBkYLNSahPwDnCT1roiVHUTQgjRtkhIRRTKUXyXH6V8Xitl7wLvhqouQgghjk/fRDtFrQSjrkxFJDNJCCGEaCESUhHJbOZCCCFaiIRURBKghBBCtCrcqYiki08IIUREkgAlhBAiIimtu+9kDEqpUmBvJ54yFSjrxPN1V3Id5BqAXAMfuQ6dfw2ytdZpx9qpWweozqaUWqu1nhDueoSbXAe5BiDXwEeuQ/iugXTxCSGEiEgSoIQQQkQkCVDBXgh3BSKEXAe5BiDXwEeuQ5iugdyDEkIIEZGkBSWEECIiSYASQggRkXpMgFJKTVdKbVdKfa+UuqeV96OVUm9531+llMoJeO9eb/l2pdS0rqx3ZzrRa6CUSlFKLVVKHVZKPdvV9e5sHbgO5yul1imltnhff9jVde8sHbgGpyqlNnqXTUqpi7u67p2pI78XvO/39/6/uKOr6tzZOvCzkKOUcgT8PCzq9MpprU/6BTADu4ABQBSwCRh+xD7/Ayzyrl8GvOVdH+7dPxrI9Z7HHO7v1MXXIBY4C7gJeDbc3yWM12Es0Ne7PhIoCvf3CcM1iAEs3vUMoMS33d2WjlyHgPffBd4G7gj39wnDz0IOsDWU9espLahTge+11ru11k3A34EfH7HPj4FXvevvAOcqpZS3/O9a60at9R7ge+/5upsTvgZa6zqt9QqgoeuqGzIduQ4btNYHvOXfAjalVHSX1LpzdeQa1GutXd5yG9CdR1l15PcCSqmZGJm/v+2i+oZCh65BqPWUAJUJ7A/YLvSWtbqP9z9gNZDSzmO7g45cg5NJZ12H2cAGrXVjiOoZSh26BkqpSUqpb4EtGNmvXXRPJ3wdlFKxwN3Ab7ugnqHU0f8PuUqpDUqp5UqpH3R25XpKuo3Wov2Rf/kdbZ/2HNsddOQanEw6fB2UUiOAR4GpnVivrtSha6C1XgWMUEoNA15VSn2ste6OreuOXIffAk9prQ93UWMiVDpyDYqB/lrrcqXUeGCxUmqE1rqmsyrXU1pQhUC/gO0s4MDR9lFKWYBeQEU7j+0OOnINTiYdug5KqSzgfWCO1npXyGsbGp3ys6C1zgfqMO7HdUcduQ6TgMeUUgXAL4FfK6VuCXWFQ+CEr4H3tkc5gNZ6Hca9rMGdWbmeEqDWAIOUUrlKqSiMG30fHrHPh8Bc7/olwBfauBP4IXCZdyRLLjAIWN1F9e5MHbkGJ5MTvg5KqUTg38C9Wuuvu6zGna8j1yDX+0sKpVQ2MAQo6Jpqd7oTvg5a6x9orXO01jnA08BDWuvuOMK1Iz8LaUopM4BSagDG78bdnVq7cI8i6aoFuBDYgRHlf+MtexCY4V23YYzG+R4jAA0IOPY33uO2AxeE+7uE6RoUYPzleBjjL6rhXV3/cF8H4D6MFsPGgCU93N+ni6/B1RiDAjYC64GZ4f4u4bgOR5xjAd10FF8HfxZme38WNnl/Fv5PZ9dNpjoSQggRkXpKF58QQohuRgKUEEKIiCQBSgghRESSACWEECIiSYASQggRkSRACXEClFKJSqn/Cdjuq5R6J0SfNVMpdX8nnu+J7jwTu+g5ZJi5ECfAm3LgX1rrkM+ioJT6L8YzKWWddL5s4EWtdXedqkn0ENKCEuLEPAIM9ObBedybG2crgFJqnlJqsVLqn0qpPUqpW5RSt3sn1fxGKZXs3W+gUuoTZeSW+kopNfTID1FKDQYafcFJKfUTpdRWby6mL71lZm8d1iilNiulbgw4/i5l5K/apJR6BEBrvRdjwtM+Ib9KQnRAT5ksVojOdg8wUms9BvwtqkAjMfJH2TCewL9baz1WKfUUMAdjepwXMGYD36mUmgQ8BxzZ9XYmxlP6PvcD07TWRd6plwCuA6q11hO96T++VkotAYYCM4FJWut6X2D0Wu8997snfAWECDEJUEKExlKtdS1Qq5SqBv7pLd8CjFJKxQFnAG8HzIbdWm6pDKA0YPtr4BWl1D+A97xlU73nvMS73QtjXrTzgJe11vUAWuvAyV5LgL4d+H5ChJwEKCFCIzBPlCdg24Px/84EVPlaYG1wYAQcALTWN3lbWxcBG5VSYzDSIfxCa/1p4IFKqekcPV2KzXtuISKW3IMS4sTUAvEnerA2cubsUUr9BEAZRreyaz5wim9DKTVQa71Ka30/UIaRBuFT4GallNW7z2BvQr0lwLVKqRhveWAX32Bg64nWX4iuIAFKiBOgjTw4X3sHLDx+gqe5ErhOKbUJY1boI1NtA3wJjFXN/YCPewc9bPW+twn4C7ANWO8tfx6waK0/wUiVsFYptRG4A8AbyE4B1p5gvYXoEjLMXIgIp5R6Bvin1vrzTjrfxcA4rfX8zjifEKEiLSghIt9DQEwnns8CPNmJ5xMiJKQFJYQQIiJJC0oIIUREkgAlhBAiIkmAEkIIEZEkQAkhhIhIEqCEEEJEJAlQQgghIpIEKCGEEBFJApQQQoiIJAFKCCFERJIAJYQQIiJJgBJCCBGRJEAJIYSISN06o25qaqrOyckJdzWEEEIch3Xr1pVprdOOtV+3DlA5OTmsXSs514QQojtRSu1tz37SxSeEECIiSYASQggRkSRACSGEiEjd+h6UED2F0+mksLCQhoaGcFdFiHaz2WxkZWVhtVpP6HgJUMDiDUU8/ul2DlQ56Jto585pQ5g5NjPc1RLCr7CwkPj4eHJyclBKhbs6QhyT1pry8nIKCwvJzc09oXP0+C6+xRuKuPe9LRRVOdBAUZWDe9/bwuINReGumhB+DQ0NpKSkSHAS3YZSipSUlA61+nt8gHr80+04nO6gMofTzeOfbg9TjYRonQQn0d109Ge2xweooirHcZULIYToGj0+QJmPEuGPVi5ET7Vw4UKGDRvGlVde2eZ+cXFxABQUFP+4yuIAACAASURBVDBy5MiQ18v3eR3dR0SeHj9Iwq31cZUL0VM999xzfPzxxyd8w1uI4yUtKGlBCXFMN910E7t372bGjBk89dRTLFiwgCeeeML//siRIykoKGjXuZYtW8bZZ5/NT3/6UwYPHsw999zDG2+8wamnnkpeXh67du0CYO/evZx77rmMGjWKc889l3379gGwZ88eTj/9dCZOnMj8+fODzv34448zceJERo0axQMPPNA5X16EjbSgpAUluptf/hI2buzcc44ZA08/fdS3Fy1axCeffMLSpUtJTU1lwYIFHfq4TZs2kZ+fT3JyMgMGDOD6669n9erVPPPMM/zxj3/k6aef5pZbbmHOnDnMnTuXl156if/7f/8vixcv5tZbb+Xmm29mzpw5/OlPf/Kfc8mSJezcuZPVq1ejtWbGjBl8+eWXTJ48uUN1FeHT41tQmYn24yoXQnTcxIkTycjIIDo6moEDBzJ16lQA8vLy/C2xlStXcsUVVwBw9dVXs2LFCgC+/vprLr/8cn+5z5IlS1iyZAljx45l3LhxfPfdd+zcubMLv5XobD2+BXXO0DT++s0+LG4X1d+vwpY9BrMtlnOGHnMmeCHCo42WTlexWCx4PB7/9vE+6xIdHe1fN5lM/m2TyYTL5Wr1mMAhy60NX9Zac++993LjjTceV11E5OrxLail35UCcO1niyhf/DDFf7kRd10V/9xUjJZuPiFalZOTw/r16wFYv349e/bs6fTPOOOMM/j73/8OwBtvvMFZZ50FwJlnnhlU7jNt2jReeuklDh8+DEBRURElJSWdXi/RdXp8gDrgfd5pycSZXBXTC3NdFaUv/ZxDOzZw6983crix9b/mhOjJZs+eTUVFBWPGjOHPf/4zgwcP7vTPWLhwIS+//DKjRo3i9ddf55lnngHgmWee4U9/+hMTJ06kurrav//UqVO54oorOP3008nLy+OSSy6htra20+sluo76/+zde1zO5//A8dfVgcqZHFIop5ROUs6HMAszcx7CCMNmNjbGZmPz2+YwX2NmG9swa9hMmLORU3MmQs6FyqkTUul0/f64615RpPuuu3Q9H4/7se7P/flc9/u+duvd5/pcn+tdnM8SPDw8pK4FC1vP2q29Kdc0LYX+W79lzdndXAFKWzvQYvy3/DDUk0Y1yushYkXJn5CQEBwcHAwdhqI8t5y+u0KI41JKj2cdW+LPoCZ522NuagxAirEpft0n0rzPNOoZGWN5+woPYu7T87tA/jh2Qw35KYqiFKISn6B6NrHmq97OWFc0R6CZvdfv4zFcun2LC1292brIl+onN/PmhKm8/8cpHqohP0VRlEJR4mfxgSZJ5VReo8yGDZRZvpzrI0ZwT0p+SU3m5LXRLBrsQeOaFQwQqaIoSslR4s+gQFNyo/Ws3dhN2UzrWbv/K7UhBAwfzvGjR+lRqRL3Dv3JsYXv0GXKTywLDFVDfoqiKAWoxCeovNSDqty0KRvu3uXX/v1JjgghfOUHTJq1mBErjhEd/8hwwSuKorzASnyCynM9KGNjhqxZQ8CKFTiWLs3n14M5EHIT7//tYd/Fu4UYsaIoSslQ4hNUZC51n3Lb3mroUM7ev89bPTxZ8ss4Tn3Ri17vzOCzv8+S9FiiUxTlScuXL2fcuHHP3CcyMlL7fOTIkZw7d66gQ1OKmBKfoGrmsuZebtsBKFUKZs4kcdr7iOREYnd8z/xZX/Dq/N2E3LxfQJEqSsnxeIL66aefcHR0NGBEiiGU+ASV9T6oTOamxkzytn/msV3ffZfbkZEMcWrMvX9Xse//BtHxra/4Ye8V0tLVBArlxdOzZ0+aNm1K48aNWbJkCaApBvjxxx/j6upKixYtuH37NgB///03zZs3p0mTJrz00kva7ZkePHiAnZ0dKSkpANy/fx9bW1v+/PNPjh07ho+PD25ubiQmJuLl5UXmTfnbtm3D3d0dV1dXOnXqVIifXilsJX6aeeb08rnbLxAZl0jNiuZM8rbPcdp5TipZWbEiOJjOM2cy9NNPubf1W2bZt2HX6XDmDfKkdhWLggxfKYE++/ss5yL1e6buWLM8019t/Mz9fvnlFypXrkxiYiKenp706dOHhw8f0qJFC7744gsmT57M0qVLmTZtGm3atOHQoUMIIfjpp5+YM2cO8+bN07ZVrlw5vLy82Lx5Mz179mT16tX06dOHfv368d133/H111/j4ZF9sYG7d+8yatQo9u3bh52dHTExMXrtB6VoMUiCEkKYAfuA0hkxrJVSThdC2AGrgcrACWCIlDK5oOPJ7T6o5zH4k09o+tprJH23mNCt3zDZ+WXa/LuPL98dgk/zOjmuvqwoxc3ChQvx9/cH4MaNG1y6dIlSpUrRvXt3AJo2bcrOnTsBCA8P5/XXX+fmzZskJyfnWIl35MiRzJkzh549e7Js2TKWLl361Pc/dOgQ7dq107ZVuXJlfX48pYgx1BnUI6CjlDJeCGEKHBBCbAUmAvOllKuFED8AI4DvDRTjc3NwcYEff6DJmTO86+FJ+KMk3rlzna2vDWLO0BaqxpSiF3k50ykIe/bs4Z9//uHgwYNYWFjg5eVFUlISpqam2j/AjI2NteUy3nnnHSZOnEiPHj3Ys2dPjkUOW7duTVhYGHv37iUtLQ0nJ6enxiClVH/slSAGuQYlNeIznppmPCTQEVibsX0F0NMA4enOyYn1+/fR1MaGuN0/sX7uONqMX8TvB8PUzb1KsXXv3j0qVaqEhYUF58+f59ChQ8/c39paMzKxYsWKXPcbOnQoAwcOZPjw4dpt5cqVy3El8pYtW7J3715teQ81xPdiM9gkCSGEsRAiCLgD7ASuAHFSyszF7sIB3cbdDKippydHr1/n5zlzkDcvELZyMm9P/YzB8//hRkyCocNTlOfWpUsXUlNTcXFx4ZNPPqFFixZP3X/GjBn069ePtm3bYmlpmet+Pj4+xMbGaqvkAgwbNowxY8ZoJ0lkqlq1KkuWLKF37964urry+uuv6/7BlCLL4OU2hBAVAX/gU2CZlLJ+xvZawBYppfNj+78JvAlQu3btpteuXSvkiJ/f8WPH8OnRg7E2TVjaehipxoIp3ZwY4mWPsZEarlCe7UUut7F27Vo2bNjAypUrDR2KUgB0Kbdh8Fl8Uso4IcQeoAVQUQhhknEWZQNE5rD/EmAJaOpBFWas+dXUw4PzkZEQF8crk6fhsGwpY9c54T/4I75+qzMNVK0ppYR655132Lp1K1u2bDF0KEoRZJAhPiFE1YwzJ4QQ5sBLQAgQAPTN2O0NYIMh4iswFStiMeMjbKpWISn0BNsXvUOHCd/xzR+HeZSqVqFQSp5vv/2Wy5cvF0hFXqX4M9Q1KCsgQAhxGjgK7JRSbgI+BCYKIS4DVYCfDRRfgalZsyahkZFs27yZGiKZiNUfMWlsX16auJzD5584YVQURSmxDDLEJ6U8DTTJYftVoFnhR1T4vLt149yN67zUrh0nT50i5WESry8/yevVTjBl9MtUKlPK0CEqiqIYVIlf6siQLCws+PfYMaLv3WP3AAcGBP/N/z4fgecbn/PHpqNqSrqiKCWaSlBFgIWFBRadO1KnqxOp9+5wdd1XjJo5iz7vL+PClVuGDk9RFMUgVIIqQsaOG0dYWBjDB7zO/SPr2PDdOJr7jGPm7D95kKAKIyqKUrKoBFXE1KlTh59//529e/diShopp7bxc3QpOn3sz4Y/9qhhP8VgFi5ciIODAz4+Pk/dr2zZsgCEhYU9c+kifch8v/zuExYWhhCCb7/9Vrtt3LhxLF++/KltzpgxA2tra9zc3LSPuLi4PMetPJtKUEVUu3btiImN5dSpE6yvn0Cpy0fpP2Es3UfO4+zx84YOTymBFi9ezJYtW/Dz8zN0KHpXrVo1FixYQHLy861NPWHCBIKCgrSPihUrFlCEJZNKUEWYhYUF9Rs2xO3NgdQyu05y5Hm2+82g/YfzmTr5R6JvRhk6RMVAvLy8tH/hp6Sk4OXlxW+//QZAQkICXl5erFmzBtCsiefl5cW6desAiIqKwsvLi7///huAW7eefZ1zzJgxXL16lR49ejB//nxmzJjB119/rX3dycmJsLCwPMW+Z88e2rdvT//+/WnYsCFTpkzBz8+PZs2a4ezszJUrVwC4du0anTp1wsXFhU6dOnH9+nUAQkNDadmyJZ6ennzyySfZ2p47dy6enp64uLgwffr0PMUDmiWUOnXqlOOagUuXLsXT0xNXV1f69OlDQsLTlyr73//+h6+vLwDBwcE4OTmRkJDAjBkzGDJkCB07dqRBgwbPXLldUQmq2Fj155/s2rWLVk1ciN61hDmLPsTZZyo/z1pJSpK6PqUUrB9++IGaNWsSEBDAhAkTdG7v1KlTLFiwgODgYFauXMnFixc5cuQII0eO1A61jRs3jqFDh3L69Gl8fHwYP348AO+++y5jx47l6NGj1KhRQ9vmjh07uHTpEkeOHCEoKIjjx4+zb9++PMc0ZcoU5s2bR1pa9pvme/fuzdGjRzl16hQODg78/PN/t2fOnz9fO7zXoUMHAN577z0uX76Mv78/w4cP58cff8TCQlMX7vTp02zevJmDBw/y+eefZ6sarDzJ4EsdKXnXsWNHOvwbyC+//MKbo94k6fRWZjbrid/7v/OxR2U6vvEqwkj9zVES7NmzR/uzqalptucWFhbZnleoUCHbc0tLy2zPs/6SLyyenp5YWVkBUK9ePV5++WUAnJ2dCQgIAODgwYPas74hQ4YwefJkAAIDA/nrr7+02z/88ENAk6B27NhBkyaaWyzj4+O5dOkS7dq1y1NMdnZ2NGvWjN9//z3b9jNnzjBt2jTi4uKIj4/H29tb+9qECRP44IMPsu1vZGTE8uXLcXFxYfTo0bRu3Vr72muvvYa5uTnm5uZ06NCBI0eO0LNn8SzaUBh0TlBCiEpAraxtSSlP6NqukjMhBCNGjKB79+6kpqRwYddJ3lq+l27+B+m68xRfDvHCsWve/kEqSn6ZmJiQnp6ufZ6UlPRcx5cuXVr7s5GRkfa5kZGRtp7U47LWgcqpJpSUkqlTpzJ69OjniiWrjz76iL59+2ZLasOGDWP9+vW4urqyfPnybMk9N5cuXaJs2bJPnCE9HreqbfV0Ov25LYSYCZwGFgLzMh5fP/UgRS+qV6+OtY0NHd94lVomESTfvMjfa7+i9ZdLeG/ELG4dPfXcba4/GUHrWbuxm7KZ1rN2s/5kRAFErrwIbG1tOXFC83foiRMntPWZ9KlVq1asXr0aAD8/P9q0aQNoihxm3Z7J29ubX375hfh4Tam5iIgI7ty581zv2ahRIxwdHdm0aZN224MHD7CysiIlJSVPE0Tu3bvHu+++y759+4iOjmbt2rXa1zZs2EBSUhLR0dHs2bMHT0/P54qvpNH1DKo/UK8wyrIrudu5cydHjhxh5ucz2bTZj4WHSrHyzFGmerZk9Lu9Kdeg7jPbWH8ygqnrgklM0Yy/R8QlMnVdMAA9mxTbslxKAenTpw+//vorbm5ueHp6FshirwsXLsTX15e5c+dStWpVli1bBsCCBQsYNGgQCxYsoE+fPtr9X375ZUJCQmjZsiWgmVr+22+/Ua1ated6348//lg7TAgwc+ZMmjdvTp06dXB2ds5WSHH+/PnaySkA69ev5/PPP+ett96iYcOG/Pzzz3To0EF7RtasWTNeeeUVrl+/zieffELNmjWfv2NKEJ3qQQkh/gLGSimf788UPfHw8JDHjh0zxFsXWX/88QdDhgzBpo4Tab0/p9LDON4xicTnfR9K2+T+j6H1rN1ExCU+sd26ojmBUzoWZMhKHrzI9aBKihkzZlC2bNknrlm96AxZD+or4KQQ4gygnUompeyhY7tKPvXv358ePXoghODCmTD6jnibUReO8PWFCL5wqc1rk97AqEqVJ46LzCE5PW27oihKQdM1Qa0AZgPBQPoz9lUKiZmZGQAuTe1p3aQWYef2E7J1AYPOueFyNpIv3Kzp9P5wRJabCmtWNM/xDKpmRfNCi1tRClJwcDBDhgzJtq106dIcPny4UN5/xowZhfI+LxJdE1SUlHKhXiJRCsSyZctYvHgxP/zwA9Onf8aRTfPofsqJbjcEH9gJWk30hXLlmORtz6S1p0hJ+2/I19RYMMnb3oDRK4r+ODs7ExQUZOgwlOeg600zx4UQXwkhWgoh3DMfeolM0Rtzc3MmTJjAqVMncXVz45XmnkRWseL1KEte6jeFYzMXYPIwHh6/HKmW/VMUxYB0PYPKnOrSIss2Cair6kWQnZ0dQSdPApCUkoanRyt2nT5Cu6st6HAwlB7ADvtWPChdBoCUdMnc7RfULD5FUQxCpwQlpeygr0CUwmVmasyihXOY8dnnHDx4kC2XDrOrVmPaP0qgiWlpttq35p55OTVJQlEUg9EpQQkhPs1pu5Tyc13aVQpH+/btCdi9i6ioKJx7juFW4F/sir7BhXf8aBN6EtvYSE4262ToMBVFKaF0vQb1MMsjDegK2OrYplLILC0t+f7bBdQc+AVVekzCMj6Gf42MmH38bxICN3PovenIPK5Urby4VD2o7LLWg3JycmLjxo3ZXnd1dWXgwIHPjE3Jna5DfPOyPhdCfA1szGV3pYizsHMjJU0SBcQcWktqTDh79izD66ozHsERfF63Mh3eewPRuLGhQ1UMYPHixWzduhU7OztDh6J3mfWgRo8eTalSpfJ8XOZisSEhIbRt25Y7d+5gZGRESEgI6enp7Nu3j4cPH1KmTJkCjP7Fpe/VzC2AZ6+roxQ5c7dfyDbFvPJLb1LO8zVMrx/l/uF1BO7+mc6HK9E5qRrj5E90HdsX4yyrNCuFy8vL64lt/fv356233iIhIYFu3bo98fqwYcMYNmwYUVFR9O3bN9trz1oANWs9KF9fX+7du5dtVQQnJyc2bdqEra3tM2Pfs2cP06dPp3r16gQFBdG7d2+cnZ1ZsGABiYmJrF+/nnr16nHt2jV8fX25e/eudqmj2rVrExoayqBBg0hNTaVLly7Z2p47dy5//PEHjx49olevXnz22WfPjAc09aBat27NihUrGDVqVLbXli5dypIlS0hOTqZ+/fqsXLlSWz4jk4ODAyYmJkRFRVGtWjV+//13hgwZQkhICBs3blRnUvmk62KxwUKI0xmPs8AFYIF+QlMKU06TIUwrVEc4dyfiRhht27ajvm0dkm1sGWfzEo5Tf2RFz9Ek+W+AdHWP9otO1YPKuR5UpsOHD2NkZETVqlUBWLNmDa+//joDBw5k1apVz90/ioauZ1Dds/ycCtyWUua8Vr5SpD1tJQlzc3P27dsLQFq65JM5i/lq/0qGl7bgo5tRvPuDP6N7tqbCsMFgrlaeKAxPO+N5vB7U4x6vB2UIL0o9qMzFYsuVK8eaNWsQQnD06FGqVq1KnTp1sLGxwdfXl9jYWCpVqpSvvirJdL0GdU0IYQxUz2irphACKeV1vUSnFJpJ3vbZVjMHMDc1fmIlCWMjwaTRg4gOPc2pkEsc3r+OD41N+TzkBGP++pf3WtXH5u2RUL16YX8EpRCpelAaORUsXLVqFefPn9cOd96/f5+//vqLkSNH5juukkrXIb53gNvATmBzxmPTUw9SiqSeTaz5qrcz1hXNEWhWMf+qt3OON+lWqlSJH3/8kUP7dnP27Flq2djwMPwMfzZsT/skZ0YM/5KgURPh1PPXpFKKB1UPKmfp6en8+eefnD59mrCwMMLCwtiwYYMa5ssnXYf43gXspZTR+ghGKX4cHR0Ju3qZixcvUr5GHX7ZeJRPv1nCitJlcD0TzifVy9F9WA9MXu0OxsaGDlfRE1UPKmf79u3D2toaa+v//rBr164d586d4+bNm9phTSVvdK0HFQB0fp7rTkKIWsCvQA00K6AvkVIuEEJUBtaguY8qDOgvpYx9WluqHpT+PF6wEDRDfLmdReUmNjaWLl26cjn0OjF3b2JkXp7K1g68X9OWsd2bU2HkMFBj8c9N1YNSiitd6kHpeqPuVWCPEGKqEGJi5uMZx6QC70spHdCs4fe2EMIRmALsklI2AHZlPFcKydztF7IlJ4DElDTmbr/wXO1UqlSJw4cPEXU7gh07/8G2tg1Rlw/zZWIyLW7WZqrPp1wY8z6cPq3P8BVFeQHpOsR3PeNRKuPxTFLKm8DNjJ8fCCFCAGvgNcArY7cVwB7gQx3jU/JI3wULhRB0fqkTZ4OOs2zZMjw69eDPPRdZtPkEc/YE0+TYJT6qXpEeg7th0qc3PMfNkYqSH4auB6U8P11n8eXtLrhcCCFs0ayIfhionpG8kFLeFELkOHAshHgTeBOgdu3aury9kkVBFSw0MzNj7NixAHg2tCZ4QyX2RsDx43/Tt5Q5lS6E4LtgNZM6uFJtjC/UqaPT++lq/ckI5m6/QGRcIjUrmjPJ216t5v6CUPWgih9dh/jyTQhRFvgLeE9KeT+vx0kpl0gpPaSUHpk3xSm6m+Rtj7lp9kkMOU0z19XWzZuIvx9H4L8HaduhMzFXjjH/zD5apbrz9rs/sL/fSOSGjZDLVOOClHkdLiIuEQlExCUydV0w609GFHosiqLof6mjPBFCmKJJTn5SynUZm28LIawyzp6sgOebH6roJPMsoTDOHoyMjGjVsgW7Nv3FmjVrSKQUt4yqs+JWJRavmkf1oDOMmfUL4zs3pfLIN6CQzpSfdh1OnUUpSuEr9AQlNHfY/QyESCn/l+WljcAbwKyM/24o7NhKup5NrAv1F7GJiUm2lbFrJJ5j3FoT7oYe57PLqXx15RTua//h80Z16eTzKkY9XgVT0wKLR9/X4RRF0U2+EpQQ4lueUhBcSjn+KYe3BoYAwUKIzAHhj9Akpj+EECPQTLzol5/YlOJrpK8vvsOGERMTw7zvljJ/9hccuhvGG60HUn9HDK8u8mVw01pYjRwKjRrp/f0L6jqcoij5k99rUMeA40955EpKeUBKKaSULlJKt4zHFilltJSyk5SyQcZ/Y/IZm1KMGRkZYWlpyVfTp3Ih5CwLF33H4jGvYG1rxZQjm7BZ/B1N+77Nr537k7xkKdzP8+XLZyqs63CFYf3JCFrP2o3dlM20nrVbb9fR/P39EUJw/vx5vbQHsGjRIurXr48QgqioqKfuK6Vk/Pjx1K9fHxcXF+1qFo/z8vLC3t4eNzc33Nzccl1RIiUlhaZNm2qfjx49msDAwGz7zJgxAwsLi2xtZNaXunHjBh06dMDBwYHGjRuzYEH2tbK//fZb7O3tady4sXYtwZwkJCTg4+ODs7MzTk5OtGnTRrsihrGxsfZzuLm5EZZRm+306dO0bNmSxo0b4+zsnONyU1lrVrm5ubFlyxYAkpOTGT58OM7Ozri6uua6NuPy5cuJjIzMNe5MX3755TP3yRcppc4PoBxQVh9tPc+jadOmUikZkpKSZFPP5tLSqpYEJAhZumIN2cupkwweNk6mb98uZWqqzu/jfyJctvpql7T9cJNs9dUu6X8iXA/R6+7cuXN53tf/RLhsNG2rrPPhJu2j0bStevks/fr1k23atJHTp09/7mNTc/n/c+LECRkaGirr1Kkj7969+9Q2Nm/eLLt06SLT09PlwYMHZbNmzXLcr3379vLo0aPPjGn37t1y3Lhx2ueurq5PxDl9+nRZq1YtOXnyZO22MmXKSCmljIyMlMePH5dSSnn//n3ZoEEDefbsWW3bnTp1kklJSVJKKW/fvp1rHF9++aWcMGGC9vn58+e1x2W+V1YpKSnS2dlZBgUFSSmljIqKyrF/p0+fLufOnfvE9kWLFslhw4Zp43J3d5dpaWlP7JfXfswpxkw5fXeBYzIPv+N1XYvPSQhxEjgDnBNCHBdCqGp2it6VLl2aY0cOcTfyOhcvXca7Z38exd1iZ+ojulfvQqdfTzHeows3J0+Dc+fy/T49m1gTOKUjobNeIXBKx2I5OUJfN10/Lj4+nsDAQH7++WftWnigWVm9Xbt29OrVC0dHR8aMGaNdSLZs2bJ8+umnNG/enIMHD+bYbpMmTfJURwpgw4YNDB06FCEELVq0IC4ujps3b+b7M23bto2uXbsCmhUPGjZsiHEOS3L5+vqyZs0aYmKyD+xYWVnh7u4OQLly5XBwcCAiQnO2+v333zNlyhTtQrhPW3Lp5s2b2ZZHsre3z7ag7uN27NiBi4sLrq6uAFSpUiXHuHNz7tw5OnXqpI2rYsWKPL4qz9q1azl27Bg+Pj64ublx79497O3tuXBB8z0aOHAgS5cuZcqUKSQmJuLm5vbMasvPS9dp5kuAiVLKOlLK2sD7wFLdw1KU3DWoX49t/qs5e/YsZ3f783+v2HP1/D98G/QPtRYvpnHvN/mm3WskzF8It28bOtxCV1CTPdavX0+XLl1o2LAhlStXzja8duTIEebNm0dwcDBXrlzRlsl4+PAhTk5OHD58WLvYqy4iIiKoVauW9rmNjY02ITxu+PDhuLm5MXPmzMyRnicEBARoiz9u3br1iQKImcqWLYuvr+8TQ3hZhYWFcfLkSZo3bw7AxYsX2b9/P82bN6d9+/YcPXo012N9fX2ZPXs2LVu2ZNq0aVy6dEn7WuYvfzc3N3r16qVtWwiBt7c37u7uzJkzJ9e2Fy1ahIuLi7bsB2jK0W/YsIHU1FRCQ0M5fvw4N27cyHZc37598fDwwM/Pj6CgICpUqMCiRYsYNmwYq1evJjY2llGjRjFr1izMzc0JCgp65mK6z0vXBFVGShmQ+URKuQdQtY2VQuHo6EhtK0sGt63PyvnT6NztVewdnAm5dIgJ+zdS/uNPeHPwdPb0H03qyt8gY0z/RZfbpA5dJ3usWrWKAQMGADBgwIBsK3Q3a9aMunXrYmxszMCBAzlw4ACguX6SdUFXXeWUaHIqveHn50dwcDD79+9n//79rFy58ol9IiMjqVy5srY67vbt23NNUADjx49nxYoV3M/humd8fDx9+vThA4+pzgAAIABJREFUm2++oXz58gCkpqYSGxvLoUOHmDt3Lv379881Ubq5uXH16lUmTZpETEwMnp6ehISEAGh/+QcFBeHv769t+8CBA/j5+XHgwAH8/f3ZtWvXE+2OHTuWK1euEBQUhJWVFe+//z6gSYg2NjZ4eHjw3nvv0apVK0xMnj1nrnPnzjg7O/P222/z008/PXN/Xem8Fp8Q4hMhhG3GYxqg/3X3FeUZ2rZty47NGzl7dC+3bt7E2d0TC7PSHHTvwrC6Paj2f9/T1tWL7f19NTcCJycbOuQCUxCTPaKjo9m9ezcjR47E1taWuXPnsmbNGu0v3MeTROZzMzOz5xp6ehYbG5tsf+mHh4dTs2bNJ/bLHC4rV64cgwYN4siRI0/ss3XrVm3xwYSEBOLi4nJsK1PFihUZNGgQixcvzrY9JSWFPn364OPjQ+/evbPF2rt3b4QQNGvWDCMjo6dOAilbtiy9e/dm8eLFDB48WDuhISc2Nja0b98eS0tLLCws6NatW44TRqpXr46xsTFGRkaMGjVK2w8mJibMnz+foKAgNmzYQFxcHA0aNMj1/TKlp6cTEhKCubn5E8OdBUHXBOULVAXWAf4ZPw/XNShF0UW1alU5ffwI96Jvc+yLV/lfzwbEXjrIgavH6fLnciqOnczLjduwd+hY5M6d8FiJ7+LueWp75dXatWsZOnQo165dIywsjBs3bmBnZ6c9Uzpy5AihoaGkp6ezZs0avQzn5aRHjx78+uuvSCk5dOgQFSpUeKKERWpqqjYRpKSksGnTJpycnJ5oK+v1p4CAADp06PDM9584cSI//vijtqiilJIRI0bg4ODAxInZ18nu2bMnu3fvBjRDcsnJyVhaWubYbmBgoHb4LTk5mXPnzlHnKct+eXt7c/r0aRISEkhNTWXv3r04Ojo+sV/W63P+/v7afkhISODhw4cA7Ny5ExMTkxyPL1euXLbyIvPnz8fBwYFVq1bh6+tLSkoKAKamptqf9SovMymK6kPN4lPyKiIiQm7Z8Y/sP/JdWaZiNQlIM1s32WHkD3Ju55Ey0HecTA8I0MtMwILwPLP4CkL79u3l1q1bs21bsGCBHDNmjAwICJAdOnSQ/fv3lw4ODnL06NHaGWFPm92VtR1ra2tpbGwsrays5IgRI3LdNz09Xb711luybt260snJKdsMM1dXVymllPHx8dLd3V06OztLR0dHOX78+CdmuKWmpmr3l1LKt99+WwYEBOT4no/PhJswYYLU/OqUcv/+/RKQzs7O0tXVVbq6usrNmzdLKaV89OiR9PHxkY0bN5ZNmjSRu3btyvVzrVixQjo7O0snJyfp6OgoJ02aJNPT06WUuffhypUrpaOjo2zcuLGcNGmSdvuIESO0/TJ48GDp5OQknZ2d5auvviojIyOllFKGhobKhg0bykaNGslOnTrJsLCwHI9fu3atbNiwoXR1dZVBQUGyUaNG8v79+9p++PTTT6WUUk6ePFk2atRIDho06Ik4dZnFp2s9KA80N9nakuWmXymli05ZM49UPSglP27fvs1nX3xJDae2nL9bim3b1xK7fyUVqtWlYxUr3mvhStuh/RBt2xaZIotFuR7Unj17+Prrr7NVoS3qDhw4wG+//cYPP/wAgLu7O4cPH8a0AFcqKal0qQel61JHfsAkIBhN8UFFKfKqV6/O4oX/zcZaWOkWX1zdS+KjR/iHBOIfEkjpP1bxbtOuDHaqhVPPTogOHSAPF5GV4qFNmzbZhiFzu+FXMSxdz6AOSCkLZrA5D9QZlKJvgceCGDJ4CDdCr2AzbiXS1IzEDbOxeRjNhGaeDBjaB5OXO4OZWaHGVZTPoPKqV69ehIZmn0M1e/Zs7USFrJYtW/bElO7WrVvz3XffFWiMBW379u18+GH2Mnd2dnba2XkvIl3OoHRNUJ2AgWgq4D7K3C7/W6G8QKkEpRSUlJQU4pMlO05ew6eDE2mpmll/pcpXpY5FRUY4O/PuG30x694NKlQo8HhCQkJo1KhRjlOqFaWoklJy/vx5gw3xDQcaAab8N8Qn0czqU5Riy9TUlEqm8HqbBnSJusOZ8xdZvWk3G9as5tKlID5JSWK50yBa/zUHs4ijTOjlTT2f/pDlJlJ9MjMzIzo6mipVqqgkpRQLUkqio6Mx02G0QdczqGAppXO+G9CROoNSCltKSgp/b97C7SQTIuNKs3rLNi7/PQ+EEZZVbWltWZ2RbZrRbcQgjDw8wEg/NUFTUlIIDw/PcUFQRSmqzMzMsLGxeWLySWGdQR0SQjhKKfO/+JmiFCOmpqb07vma9rmvdz0ml48hKi6J40f/ZcO5g2w4d5C6Z+8y2LIGzasa0aKjJ5V7vAJl8r/IiqmpKXZ2dvr4CIpSbOh6BhUC1EOzesQjQKC5P0BNM1dKpB+X/cY33yygSZexnJBVuPbnZyRdC6Jmtbp0sK7NyM5taT9iMCIPd+0ryouqsCZJ5Hirs5TyWr4bfQ4qQSlFWVJKGiPGvsuubVu5n5hEYoymro6xqTlTXhnNS7aVaNbBHYvOncBcFUVUSo5CGeIrrESkKIVl/ckI5m6/QGRcIjUrmjPJ2z7fSwSZmRrj99MiQHPBeN/xs4x6Yyix9+L5o4EXvxmZED7QB3MjY7zsHBjYphl93xxKKVdXUBMhDE6f3wUlf3Q6gzI0dQal6NP6kxFMXRecrZaSuamxzuvY5SQxOY19QVcZ+Ep7EpNTSbofhaYOoxH2Ng582b0vrVs6UK1LR0TVqnp9b+XZCvO7UBLl9QxKP1OMFOUFUFCF/nJiXsoY72YNiLkbSeK9O5wNvcHwtyZjZl6G6Cq1mVjeE7ddNzGxsqZhzfpM7NqX08t+hUTdajopeVOY3wUldypBKUqGgir0lxeOttb88t1sEh/e5/bxzWx6uxWvlo/DyNiYq3F3mb/tL1x938C4XAUGtu3N/s8XknDgIGSsqq3olyG/C8p/VIJSlAwFVejveRkZCZxqVWLJwhmkPEok/l40fut34dG8E0bGJuy3a82QhHrUGDsNEzMLPOq7Ma3fG4Ss34hUCUsvisp3oaRT16AUJUNxue7w8FEqR0+FMvX99zh5IpAUmU56oqZmj7GxKR+//j6dnG2p69EAa692iOdc5Hba+mBWHb5BmpQYC8HA5rX4v54Gux/fIIrLd6G4UtegFOU59WxiTZ+m1hhnzKAzFoI+Ta2L3C+kMqVN8GrWgIP7N5P0MI6YqLv8/OsG7B09KFOpBitrtmBonA11evTGpLQ5DnUcGNmlN2u//obkjCJ1uZm2PpjfDl0nLeMP1zQp+e3QdaatDy6Mj1ZkFETRR+X5qTMoRcnwovzV/PBRKidPXGbcWF/C79zlftJDUmI1lVVNzcvx3sCP8LAqQ0RCBAPeGolV/fraY+tN3aJNTlkZC8GVr7oV2mdQXmyFcqOuoakEpehT61m7icjhIrh1RXMCp3Q0QET68Sg1jX92BPJ/n80gybgcssVgopKTiPhuKADly1tiX7M2NjWqcL5KKxLqe+bYTtisVwozbOUFVlhr8SnKC+NFnblV2sSYV7q145VuuwFIT5cEnb7EF9cHcv1OLGF373As9AJHzz+kTMOHtClvSanI8xw5sYUq9q2Id+qEScXqBv4USklkkAQlhPgF6A7ckVI6ZWyrDKxBUz4+DOgvpYw1RHxKyVSzonmOZ1Av2swtIyOBu1tD/tr4u3Zb+M0ofpz/PecjU4gTRhyMjyXqbii374bCAT9Kly5DlcWl+fjN8Yx425cKtgVTVkRRsjLUJInlQJfHtk0BdkkpG6ApgDilsINSSrZJ3vaYmxpn22Zuaswkb3sDRVR4bKwsmTnnE/787XOav9qWcm0G4TxkPq27vEPTFr0oXbE6MQ/imBNeCtcfTlOjUWtMTExp6dqCSW++w8a164iLizP0x1BeMAa7BiWEsAU2ZTmDugB4SSlvCiGsgD1Syqf+ZlDXoBR9U+uv5S4u5j7B+05y+kwYS9ev4tz5I6QDaQ//G+gYO/xzWjWyJSzqElXtajJ46BDK6FBmRHkxFflJEjkkqDgpZcUsr8dKKSvlcNybwJsAtWvXbnrtmlqvVlEMQUrJrSvh7N60mxV/reXcjWtYvjaVOPPy3Ph2MOkJcSAEVSrVoKxZKRwa2fPXhvVYlH2xhkyV5/fCJqis1BmUohQtMj2d8OCLrF3lT8CRE4Tdf8i1mNvcv3YaYVIK23dXUS8xmsBf3qVC2XJ0e6kLHbq+hLV1DVq3bk2pUqUM/RGUQlAcE5Qa4lOUIkDfw5wyLY3IU+c5vOcoYbceciYuhVV/ziElJYm0h3GA5ndQuQpVmf7BPBrWq87Pa36kX78+vPZaD8qWLaunT6YUFcUxQc0FoqWUs4QQU4DKUsrJT2tDJShF0a9Cu1k5PZ2oc5c4vu8YO/89xpajgaRUqk1au6EkxUZy86ex2l3Ll69CWuojBg4YwtwF/8PMBO7evYuNjQ2iAOtmqeuRBadIJyghxCrAC7AEbgPTgfXAH0Bt4DrQT0oZ87R2VIJSFP0y9M3KSeGRXPw3iG0B/3L4UiiXYmMJi4ogPvI8ZV1epnLnMRif2cnVzQuoVKkqjo2cqNuwHkKk8uGkSTg6OuoljhdlVRFdFVSSLtI36kopB+byUqdCDURRlGwMfbOymU1NXPrXxKX/f8sqyfh4bh87zflTl7lw7Tz7RBr3rBqSYGrGobNnCDwYAMD+K8l0bPkyN8/tZt+e9fQfNJSXOrXHqpolVapUoXHjxhgZ5e3OmqfVgyopCerxJB0Rl8jUdZo1GQurD9RKEoqiaBXFm5VF2bLU8GpFDa9WeAGjAaQk7foNwo4GE3TyAv8EBfOojBXXoxM4HpNMfGIivyxZxC9LFmnb8R39GS+/1JHDx3Zx5uQhZn4+AwcHB0qVKkXp0qWzDRcaOlEXBUUhSasEpSiK1iRv+xyHtorczcpCYFynNvXq1KZe31fok7k9NZWUSx24drwfp85c4eCFqxy8HsrlqJvsMbZl17F73Pp9LY9unGHnjm0AmJiWQgB/bj1IE7dGbPdfhQg5Rbr9Swij7Dduv2irijxNUUjSKkEpiqKV+ZdxsZ0cYGKCqUMj6js0oj78l7iSk0m7eInwoPOEDB3GwfOhBN+J4mL8A8LuhvHoQTTjt4cjdt4k4rsPSY2PRhh9j1n5qqSmJIFZOexGf88HLzdk48aN2NjY4O7ubsAPWvAqmJsSl5iS4/bCohKUoijZ9GxS9Gpg6axUKYydGlPHqTF1yLLOWloahIURczqEK+evcTU8mv1tXuPYrQhupUuiEu+RFnEeEuJ4lCb5dNURQhYMIj01heo1a1Pbti43I8Jo6u7OurV/IIRg37592NnZUatW8V6vMLcJkgU4cfIJKkEpilJyGRtDvXpUrlePyoAn8Hrma1FRpIacJ/LsFa5cjSTs9r+EJUi2OHXi+sN73E9P4eT5y6TE3CAy9iEuH66nlnjE1rmDMDMvg31jV+o1tCfo8H5e79ePL7/8AoC9e/fi6OhI1apVDfSh8yYu4cmzp6dtLwgqQSmKouTE0hKTtm2o3bYNtbNs/iwtDa5d49GFi4SHhHEl7Dbnb8UQffUQoUbm1GjYinuPEgi5fovTp08iHyXwv+VrOZTmRjWRwJrZw6hsWQNnj+bUqWVDYMAOJk54j7feeovExEQCAwNp0qQJVapUMdhHh6IxYUYVLFQURdGXlBQIDSX18mVuXrhG2LXbhERGEfYghThzS66YV+Bg4CoepT4i/WEsqffvQnoa5Ru2pE3fiZhGX2XDjx9Sw8aOxk3cqVqpAgf37mLWrFkMGDCAu3fvsm/fPry8vAo8gRXkvWBF+kZdfVEJSlGUYiMtDSIj4coV7l28yo3Qm4TdiiX4Vgy300y4V6EmF41MCDq8ltSUR6TFx5D24C5ISdXmvfB4yYf7Z/8hcP0PWNWqS71GDpQ2MeL4oQP87udH165dOXPmDAEBAQwePJhKlSqRnJyMsbExxsbGz44vB4a+UVclKEVRlKLgwQMIDUVeDSX6ynXCb9zh2p37BEfFEosFMRVqcD41hTPBO0lNTSb1QTSp925DWgrVur6Lg1s7Inf/wqXDm6lc1YrqtepAajLng0/yz979dGjTio0bN7J582b+97//UbZsWSIiIoiPj6dBgwZ5volZH1SCUhRFeVFICbGxEBaGDLvG/bAbhN+4Q8Sd+1yKfUBUmgl3zCpzPi2Vs2FBPEhNJi0+mpTYm6Qn3KPG0HlUrlGXqE1fc+fcAYxNTKloWR1kOtF3bvLP4TM0cazP/Fkz2bZtG2vXrqVmzZocOnSIyMhIXn/99WfH+ByK9FJHiqIoynMQAipXhsqVEe7uVAAqAI2BlzP3iY+HGzfg+nVSw65x+8Ztbt6K5UZMPLfvnOX2rYucq+HAWYsqRKcm8+DRQ1JiIjAyL8+wX09iXCaUu39uJeHqcWxtbUEITExMkTIdaePGa571MS+Vv6HCfH9sdQalKIrypBduNXMp4e5dTRILDyf1Rjh3wm9z6859bsclcCshlfPxiZxPfkQkEJWWQmzSQx4lxFKt/0wcjZMY3a/li79YrKIoSlFWFBZK1TshoFo1zaNpU0yAmhkPrcyhxPBw/t13ii3bjlP2QSxmB/z4ttUAtVisoiiKoRWFhVINIstQ4qQtUUQ4Vc72cmH3QeFN21AURSkmisJCqYZWFPpAJShFUZTH5LZaQklazbwo9IFKUIqiKI+Z5G2PuWn2GWtFsuxIASoKfaCuQSmKojym2Jcd0YOi0AdqmrmiKIpSqPI6zVwN8SmKoihFkkpQiqIoSpGkEpSiKIpSJKkEpSiKohRJxXqShBDiLnBNj01aAlF6bK+4Uv2g+gBUH2RS/aD/PqgjpXxmzftinaD0TQhxLC8zS150qh9UH4Dqg0yqHwzXB2qIT1EURSmSVIJSFEVRiiSVoLJbYugAigjVD6oPQPVBJtUPBuoDdQ1KURRFKZLUGZSiKIpSJKkEpSiKohRJJSZBCSG6CCEuCCEuCyGm5PB6aSHEmozXDwshbLO8NjVj+wUhhHdhxq1P+e0DIUQVIUSAECJeCLGosOPWNx36obMQ4rgQIjjjvx0LO3Z90aEPmgkhgjIep4QQvQo7dn3S5fdCxuu1M/5dfFBYMeubDt8FWyFEYpbvww96D05K+cI/AGPgClAXKAWcAhwf2+ct4IeMnwcAazJ+dszYvzRgl9GOsaE/UyH3QRmgDTAGWGToz2LAfmgC1Mz42QmIMPTnMUAfWAAmGT9bAXcynxe3hy79kOX1v4A/gQ8M/XkM8F2wBc4UZHwl5QyqGXBZSnlVSpkMrAZee2yf14AVGT+vBToJIUTG9tVSykdSylDgckZ7xU2++0BK+VBKeQBIKrxwC4wu/XBSShmZsf0sYCaEKF0oUeuXLn2QIKVMzdhuBhTnWVa6/F5ACNETuIrmu1Bc6dQHBa2kJChr4EaW5+EZ23LcJ+Mf4D2gSh6PLQ506YMXib76oQ9wUkr5qIDiLEg69YEQorkQ4iwQDIzJkrCKm3z3gxCiDPAh8FkhxFmQdP33YCeEOCmE2CuEaKvv4EpKRd2csv3jf/nltk9eji0OdOmDF4nO/SCEaAzMBl7WY1yFSac+kFIeBhoLIRyAFUKIrVLK4nh2rUs/fAbMl1LGF9LJREHRpQ9uArWllNFCiKbAeiFEYynlfX0FV1LOoMKBWlme2wCRue0jhDABKgAxeTy2ONClD14kOvWDEMIG8AeGSimvFHi0BUMv3wUpZQjwEM31uOJIl35oDswRQoQB7wEfCSHGFXTABSDffZBx2SMaQEp5HM21rIb6DK6kJKijQAMhhJ0QohSaC30bH9tnI/BGxs99gd1ScyVwIzAgYyaLHdAAOFJIceuTLn3wIsl3PwghKgKbgalSysBCi1j/dOkDu4xfUggh6gD2QFjhhK13+e4HKWVbKaWtlNIW+Ab4UkpZHGe46vJdqCqEMAYQQtRF87vxql6jM/QsksJ6AN2Ai2iy/McZ2z4HemT8bIZmNs5lNAmobpZjP8447gLQ1dCfxUB9EIbmL8d4NH9RORZ2/IbuB2AamjOGoCyPaob+PIXcB0PQTAoIAk4APQ39WQzRD4+1MYNiOotPx+9Cn4zvwqmM78Kr+o5NLXWkKIqiFEklZYhPURRFKWZUglIURVGKJJWgFEVRlCJJJShFURSlSFIJSlEURSmSVIJSlHwQQlQUQryV5XlNIcTaAnqvnkKIT/XY3tfFeSV2peRQ08wVJR8ySg5sklIW+CoKQoh/0dyTEqWn9uoAS6WUxXWpJqWEUGdQipI/s4B6GXVw5mbUxjkDIIQYJoRYL4T4WwgRKoQYJ4SYmLGo5iEhROWM/eoJIbYJTW2p/UKIRo+/iRCiIfAoMzkJIfoJIc5k1GLal7HNOCOGo0KI00KI0VmOnyw09atOCSFmAUgpr6FZ8LRGgfeSouigpCwWqyj6NgVwklK6gfaMKisnNPWjzNDcgf+hlLKJEGI+MBTN8jhL0KwGfkkI0RxYDDw+9NYazV36mT4FvKWUERlLLwGMAO5JKT0zyn8ECiF2AI2AnkBzKWVCZmLMcCKj7b/y3QOKUsBUglKUghEgpXwAPBBC3AP+ztgeDLgIIcoCrYA/s6yGnVNtKSvgbpbngcByIcQfwLqMbS9ntNk343kFNOuivQQsk1ImAEgpsy72egeoqcPnU5QCpxKUohSMrHWi0rM8T0fz784IiMs8A3uKRDQJBwAp5ZiMs61XgCAhhBuacgjvSCm3Zz1QCNGF3MulmGW0rShFlroGpSj58wAol9+DpaZmTqgQoh+A0HDNYdcQoH7mEyFEPSnlYSnlp0AUmjII24GxQgjTjH0aZhTU2wH4CiEsMrZnHeJrCJzJb/yKUhhUglKUfJCaOjiBGRMW5uazGR9ghBDiFJpVoR8vtQ2wD2gi/hsHnJsx6eFMxmungJ+Ac8CJjO0/AiZSym1oSiUcE0IEAR8AZCSy+sCxfMatKIVCTTNXlCJOCLEA+FtK+Y+e2usFuEspP9FHe4pSUNQZlKIUfV8CFnpszwSYp8f2FKVAqDMoRVEUpUhSZ1CKoihKkaQSlKIoilIkqQSlKIqiFEkqQSmKoihFkkpQiqIoSpGkEpSiKIpSJKkEpSiKohRJKkEpiqIoRZJKUIqiKEqRpBKUoiiKUiSpBKUoiqIUSSpBKYqiKEWSSlCKoihKkVSsS75bWlpKW1tbQ4ehKIqiPIfjx49HSSmrPmu/Yp2gbG1tOXZMFQVVFEUpToQQ1/KynxriUxRFUYoklaAURVGUIkklKEVRFKVIKtbXoBSlpEhJSSE8PJykpCRDh6IoeWZmZoaNjQ2mpqb5Ol4lKEUpBsLDwylXrhy2trYIIQwdjqI8k5SS6OhowsPDsbOzy1cbKkEVE+tPRjB3+wUi4xKpWdGcSd729GxibeiwlEKSlJSkkpNSrAghqFKlCnfv3s13GypBFQPrT0YwdV0wiSlpAETEJTJ1XTCASlIliEpOSnGj63dWTZIoBuZuv6BNTpkSU9KYu/2CgSJSFEUpeCpBFQORcYnPtV1RCoq/vz9CCM6fP6+3NhctWkT9+vURQhAVFfXUfaWUjB8/nvr16+Pi4sKJEydy3M/Lywt7e3vc3Nxwc3Pjzp07Oe6XkpJC06ZNtc9Hjx5NYGBgtn1mzJiBhYVFtjbKli0LwI0bN+jQoQMODg40btyYBQsWZDv222+/xd7ensaNGzN58uRcP1dCQgI+Pj44Ozvj5OREmzZtiI+PB8DY2Fj7Odzc3AgLCwPg9OnTtGzZksaNG+Ps7JzjBJoZM2ZgbW2tPXbLli0AJCcnM3z4cJydnXF1dWXPnj05xrV8+XIiIyNzjTvTl19++cx98kMN8RUDNSuaE5FDMqpZ0dwA0SjFQUFds1y1ahVt2rRh9erVzJgx47mOTUtLw9jY+IntrVu3pnv37nh5eT2zja1bt3Lp0iUuXbrE4cOHGTt2LIcPH85xXz8/Pzw8PJ7a3oEDB2jVqpX2+eHDh1m8ePET+1laWjJv3jxmz56dbbuJiQnz5s3D3d2dBw8e0LRpUzp37oyjoyMBAQFs2LCB06dPU7p06VyTJMCCBQuoXr06wcGaofsLFy5oZ76Zm5sTFBSUbf/U1FQGDx7MypUrcXV1JTo6OteZchMmTOCDDz7Itm3p0qUABAcHc+fOHbp27crRo0cxMsp+zrJ8+XKcnJyoWbNmrrGDJkF99NFHT90nP9QZVDEwydsec9Ps/7DNTY2Z5G1voIiUoizzmmVEXCKS/65Zrj8ZoVO78fHxBAYG8vPPP7N69Wrt9j179tCuXTt69eqFo6MjY8aMIT09HdCcaXz66ac0b96cgwcP5thukyZNyOuamhs2bGDo0KEIIWjRogVxcXHcvHkz359p27ZtdO3aFYCQkBAaNmyYYxL19fVlzZo1xMTEZNtuZWWFu7s7AOXKlcPBwYGICE0/f//990yZMoXSpUsDUK1atVzjuHnzJtbW//0BYW9vrz0uJzt27MDFxQVXV1cAqlSpkmPcuTl37hydOnXSxlWxYsUnlo1bu3Ytx44dw8fHBzc3N+7du4e9vT0XLmguLQwcOJClS5cyZcoUEhMTcXNzw8fHJ88x5IVKUMVAzybWfNXbGeuK5gjAuqI5X/V2VhMklBwV1DXL9evX06VLFxo2bEjlypWzDa8dOXKEefPmERwczJUrV1i3bh0ADx8+xMnJicOHD9OmTRud3h8gIiKCWrVqaZ/b2NhoE8Ljhg8fjpubGzNnzkRKmeM+AQEB2jO3rVu30qVLlxz3K1u2LL6+vk8M4WUVFhbGyZMnad68OQAXL15k//79NG/enPbt23P06NFcj/X19WX27Nm0bNmSadOmcenSJe1rmb/83dzc6NWrl7ZtIQTe3t64u7szZ86cXNtetGgRLi4W6iMTAAAgAElEQVQu+Pr6EhsbC4CrqysbNmwgNTWV0NBQjh8/zo0bN7Id17dvXzw8PPDz8yMoKIgKFSqwaNEihg0bxurVq4mNjWXUqFHMmjVLe5bn5+eXaxz5UWgJSgjxixDijhDiTC6vVxBC/C2EOCWEOCuEGF5YsRUHPZtYEzilI6GzXiFwSkeVnJRcFdQ1y1WrVjFgwAAABgwYwKpVq7SvNWvWjLp162JsbMzAgQM5cOAAoLl+0qdPH53eN6ucEk1OM8X8/PwIDg5m//797N+/n5UrVz6xT2RkJJUrV8bCwgKA7du355qgAMaPH8+KFSu4f//+E6/Fx8fTp08fvvnmG8qXLw9ohuFiY2M5dOgQc+fOpX///rkmSjc3N65evcqkSZOIiYnB09OTkJAQ4L8hvqCgIPz9/bVtHzhwAD8/Pw4cOIC/vz+7du16ot2xY8dy5coVgoKCsLKy4v333wc0CdHGxgYPDw/ee+89WrVqhYnJs6/4dO7cGWdnZ95++21++umnZ+6vq8K8BrUcWAT8msvrbwPnpJSvCiGqAheEEH5SyuTCClBRXgQFcc0yOjqa3bt3c+bMGYQQpKWlIYTQ/uX+eJLIfG5mZvZcQ0/PYmNjk+0v/fDw8Byvj2QOl5UrV45BgwZx5MgRhg4dmm2frVu34u3tDWgmKcTFxT31WkvFihUZNGjQE9eoUlJS6NOnDz4+PvTu3TtbrL1790YIQbNmzTAyMiIqKoqqVXOuMlG2bFl69+5N7969MTIyYsuWLTg4OOTaD+3bt8fS0hKAbt26ceLECe2wXabq1atrfx41ahTdu3cHNNfO5s+fr32tVatWNGjQINfPnik9PZ2QkBDMzc2JiYnBxsbmmcfootDOoKSU+4CYp+0ClBOab3bZjH1TCyM2RXmRFMQ1y7Vr1zJ06FCuXbtGWFgYN27cwM7OTnumdOTIEUJDQ0lPT2fNmjV6Gc7LSY8ePfj111+RUnLo0CEqVKiAlZVVtn1SU1O1swFTUlLYtGkTTk5OT7SV9fpTQEAAHTp0eOb7T5w4kR9//JHUVM2vJiklI0aMwMHBgYkTJ2bbt2fPnuzevRvQDMklJydrE8rjAgMDtcNvycnJnDt3jjp16uQah7e3N6dPnyYhIYHU1FT27t2Lo6PjE/tlvT7n7++v7YeEhAQePnwIwM6dOzExMcnx+HLlyvHgwQPt8/nz5+Pg4MCqVavw9fUlJSUFAFNTU+3P+lSUrkEtAhyASCAYeFdKmW7YkBSl+CmIa5arVq3SXv/I1KdPH37//XcAWrZsyZQpU3BycsLOzu6JfZ9m4cKF2NjYEB4ejouLCyNHjsx1327dulG3bl3q16/PqFGjsp3NuLm5AfDo0SO8vb1xcXHBzc0Na2trRo0ala2dtLQ0Ll26RKNGjYCnX3/KytLSkl69evHo0SNAk1hWrlzJ7t27n5jK7evry9WrV3FycmLAgAGsWLEi1xtXr1y5Qvv27XF2dqZJkyZ4eHg8dWi0UqVKTJw4EU9PT9zc3HB3d+eVV14BYOTIkdoJD5MnT8bZ2RkXFxcCAgK0Z0137tzB3d0dBwcHZs+enW0I9P/bu/Mwucoyj/vfH0kgYZGQEDULkCBkD1loQRYFRE3cQ0CHRRHCCBEcZmQMhFcH0JlRIDLoa3QQcQSRARRJkCVGhICAEMxKAiGyBCYLrySBACEBstzvH3W6qe5UL9Vdy6nTv8911dVVp55z6n66uuuu85z7nCd//TPOOIMpU6YwZswYlixZwnXXXcdVV13Fhz/8YT7ykY/wH//xHwCcffbZHHLIISUvklBzY6LlIGkgcFdE7PR1RtJJwFHABcAHgHuB0RHxepN2ZwNnA+y///6Hvvhim+a9Mqtpy5cvb3a4p9oeeOABfvCDH3DXXXdVO5Q2e/jhh/n1r3/NNddcA8C4ceOYN29euy9qas0r9LcraUFEtHwOAOnagzoTuD1yngVWAkObNoqIayOiLiLqmhvLNTNrydFHH92QnAAWLlzo5JRCaTpR9/+A44GHJL0PGAI8X92QzKw1xx57bJtOsj3hhBNYuXJlo2VXXHFFQ6FCvl/+8pc7lXQfddRR/OQnP+lQrNU2Z84cLrrookbLBg0a1FCdZ41VbIhP0s3AscC+wN+BS4FuABFxjaR+5Cr9+gICLo+IX7e0zbq6umh6cplZFi1fvpyhQ4f6grFWUyKCp59+ut1DfBXbg4qIU1p5fi3wiQqFY1ZTunfvzoYNG+jdu7eTFPDq5nf4+2tv8c72HezaZRfet3d39tl912qHZXnq54Pq3r17u7eRpiE+M2tGfZVbR+bWyYrN72xj4+at7Mgb/Fkj6Ll7N3bf1R9paVI/o257+d00qwHdunVr96ykWXPU5fcXPBG5f88ePDLto1WIyMolTVV8Zmat8vQznYcTlJnVlOYu2eTpZ7LHCcrMaoqnn+k8fAzKzGpK/SWbyjEho6WLE5SZ1ZyJY/tnIiGVa+bjrHCCMjOrgvqZj+snl6yf+Rhwkkr4GJSZWRWUa+bjLHGCMjOrApfLt85DfDUiC2PVWeiDWamUY+bjrPEeVA2oH6tes3ELwbtj1bMWral2aG2WhT5kxaxFazjq8vsZNO1ujrr8fr8HVeJy+dY5QdWALIxVZ6EPWeAvCulRjpmPs8ZDfDUgC2PVWehDFrT0RcEfjJWXlXL5cvEeVA3IwqVdstCHLPAXBaslTlA1IAtj1VnoQxb4i4LVEieoGpCFseos9CEL/EXBaknFpnwvB0/5blY8l/tbtaVuynczSwcfmLda4SE+MzNLJScoMzNLJScoMzNLJScoMzNLJScoMzNLpaISlKQDJd0pab2klyXdIenAcgVnZmadV7F7UP8L/AZ4P9AP+C1wc6mDMjMzKzZBKSJujIhtye3XQO2e6WtmZqlV7Im6cyVNA24hl5j+AbhbUi+AiHilxPGZpYqvwpAOfh86h2IT1D8kP89psnwyuYTl41HWrFr/UKmfS6l+uor6uZSAmupHrfP70HkUNcQXEYNauDWbnCT9T1JUsayFNsdKWizpSUkPFhOXpV8WJsrzpIvp4Peh8yhqD0pSF+DTwMD8dSPiv1pZ9XpgBvCrZrbbE/gpMCEi/k/Se4uJy9IvCxPleS6ldPD70HkUWyRxJ3AG0BvYK+/Wooj4M9DS8alTgdsj4v+S9i8XGZel3JpmPjyaW55GnkspHfw+dB7FJqgBETEpIi6NiO/U30oQx2BgH0kPSFog6fTmGko6W9J8SfPXrVtXgpe2SugiFbU8jTyXUjr4feg8ii2SmC3pExHxxzLEcShwPNADeFTSYxHxt6YNI+Ja4FrIzQdV4jisTLY3M+9Yc8vTqH4ospYLPbLA70PnUWyCegyYKWkXYCsgICLiPR2MYzWwPiLeBN6U9GdgNLBTgrLa1L9nj4LDef1rbFjGcymlg9+HzqHYIb6rgCOA3SPiPRGxVwmSE8AdwIcldZW0O3A4sLwE27WU8LCMmRWr2D2oZ4BlUeQ88ZJuBo4F9pW0GrgU6AYQEddExHJJfwCeAHYA10VEsyXpVns8LGOlVOvn1FnbqJhcI+l6cifjzgberl/ehjLzsqirq4v58+dX46XNrEqanqgLub3x708a5SRVIyQtiIi61toVO8S3ErgP2JUiyszNzErFJ+p2HkUN8dWXlEvaIyloMDOrKJ+o23kUOx/UEZKeIilgkDRa0k/LEpmZWQE+UbfzKHaI74fAeGADQEQsAT5S6qDMzJrjitDOo9gqPiJilRqf/b+9ubZWOq5aMstxRWjnUWyCWiXpSCAk7Qqcj89XKjtPL2DWmE/U7RyKHeKbApwH9Cd39YcxwLmlDsoac9WSmXVGxe5BDYmI0/IXSDoKeKR0IVlTrloys86o2D2oH7dxmZWQq5bMrDNq0x6UpCOAI4E+ki7Ie+o9QJfCa1mpTB0/pOCZ865aMrMsa+sQ367Ankn7/CtHvA6cVOqgrDFXLZlZZ1TstfgOiIgXyxhPUXwtvtriUnmzxjrr/0Rbr8VX7KWOUpOcrLa4VN6sMf9PtK7YIgmzdnGpvFlj/p9onROUVYRL5c0a8/9E64oa4pPUHTgLGAF0r18eEZNLHJdlTL9mpnx3qbx1Vv6faF2xe1A3Au8nd8HYB4EBwBulDsqyxxf4NGvM/xOtK/ZKEgdFxBckfT4ibpD0v8CccgRm2eJSebPG/D/RumIT1Nbk50ZJI4H/DxhY0ogss3yBT7PG/D/RsmIT1LWS9gH+Dfg9uZN3Lyl5VGZmnUBnPQ+qrYo9D+q65O6DwIGlD8fMrHPweVCtK7aKbzfgRHLDeg3rRsR3SxuWmVm2tXQelBNUTrFDfHcArwELgLdLH46ZWefg86BaV2yCGhARE8oSiZlZJ+LzoFpX7HlQf5E0qiyRmJl1Ij4PqnXF7kEdDZwhaSW5IT4BERGHlDwyM7MM83lQrSs2QX2yLFGY1QiXBVsp+Tyolnm6DbM2clmwWWUVuwdlVeJv7tXnsmCzyqrYdBuS/kfSy5KWtdLug5K2S/JU8on6b+5rNm4hePeb+6xFa6odWqdSqOKqpeVm1jGVnA/qeqDFEnVJXYAr8AVoG/HEZunQRSpquZl1TMWG+CLiz5IGttLsn4DfAR8se0A1xCf0pcP2iKKWp5WHi61WpGZGXUn9gROAa1ppd7ak+ZLmr1u3rjLBVVlzJ+75hL7K6t/M77u55Wnk4WKrJalJUMAPgYsiYntLjSLi2oioi4i6Pn36VCi06vIJfemQhffBw8VWS9JUxVcH3KLceP6+wKckbYuIWdUNq/p8Ql86ZOF98HCx1ZLUJKiIGFR/X9L1wF1OTu/yCX3pUOvvg6//ZrWkkmXmNwOPAkMkrZZ0lqQpkqZUKgazzi4Lw5TWeVSyiu+UItqeUcZQzDqtiWP7M//FV7h53iq2R9BF4sRDa3uv0LIrTUUSZlZmsxat4XcL1jSUxm+P4HcL1riKz1LJCcqsE3EVn9USJyizTsRVfFZLnKDMOhGf9G21xAnKrBNxFZ/VktScB2Vm5ZeFk42t83CCMutkav1kY+s8PMRnZmap5ARlZmap5ARlZmap5ARlZmap5ARlZmap5ARlZmap5ARlZmap5ARlZmap5ARlZmap5ARlZmap5ARlZmap5ARlZmap5IvF1ohZi9b4CtRm1qk4QdWAWYvWcPHtSxum6l6zcQsX374UwEnKzDLLQ3w1YPqcFQ3Jqd6WrduZPmdFlSIyMys/J6gasHbjlqKWm5llgRNUDejXs0dRy83MssAJqgZMHT+EHt26NFrWo1sXpo4fUqWIzMzKz0USNaC+EMJVfGbWmThB1YiJY/s7IZlZp+IhPjMzS6WKJChJ/yPpZUnLmnn+NElPJLe/SBpdibjMzCy9KrUHdT0woYXnVwLHRMQhwL8D11YiKDMzS6+KHIOKiD9LGtjC83/Je/gYMKDcMZmZWbql8RjUWcDs5p6UdLak+ZLmr1u3roJhmZlZJaUqQUk6jlyCuqi5NhFxbUTURURdnz59KhecmZlVVGrKzCUdAlwHfDIiNrRlnQULFqyX9GIRL7MvsL498aWI+5AO7kM6ZKEPkI1+FNOHA9rSKBUJStL+wO3AlyPib21dLyKK2oWSND8i6oqNL03ch3RwH9IhC32AbPSjHH2oSIKSdDNwLLCvpNXApUA3gIi4BrgE6A38VBLAtlp/s8zMrGMqVcV3SivP/yPwj5WIxczMakOqiiQqIAvnV7kP6eA+pEMW+gDZ6EfJ+6CIKPU2zczMOqyz7UGZmVmNyFyCktRL0r2Snkl+7tNMu68kbZ6R9JW85f8paZWkTZWLuuG1J0haIelZSdMKPL+bpFuT5+flX51D0sXJ8hWSxlcy7iYxtqsPknpLmitpk6QZlY67SYzt7cPHJS2QtDT5+dFKx54XY3v7cJikxcltiaQTKh17Xozt/n9Int8/+Xv6ZqVibqoD78NASVvy3otrKh17Xowd+Vw6RNKjkp5M/i+6F/XiEZGpG3AlMC25Pw24okCbXsDzyc99kvv7JM99COgLbKpw3F2A54ADgV2BJcDwJm3OBa5J7p8M3JrcH5603w0YlGynSxV+9x3pwx7A0cAUYEYV/3460oexQL/k/khgTQ32YXega3K/L/By/eNa6UPe878Dfgt8swbfh4HAsmrEXcI+dAWeAEYnj3sX+7mUuT0o4PPADcn9G4CJBdqMB+6NiFci4lXgXpKL2UbEYxHxUkUibeww4NmIeD4i3gFuIdeXfPl9uw04Xrm6/M8Dt0TE2xGxEng22V6ltbsPEfFmRDwMvFW5cAvqSB8WRcTaZPmTQHdJu1Uk6sY60ofNEbEtWd4dqNZB6o78PyBpIrkvnk9WKN5COtSHlOhIHz4BPBERSwAiYkNEbC/mxbOYoN5Xn2CSn+8t0KY/sCrv8epkWTW1JaaGNsmHyGvkvpWkpT8d6UNalKoPJwKLIuLtMsXZkg71QdLhkp4ElgJT8hJWJbW7D5L2IHe5tO9UIM6WdPRvaZCkRZIelPThcgfbjI70YTAQkuZIWijpwmJfPBVXkiiWpD8B7y/w1LfauokCy6pdztiWmJprk5b+dKQPadHhPkgaAVxB7htkNXSoDxExDxghaRhwg6TZEVHpPduO9OE7wNURsanKOyMd6cNLwP4RsUHSocAsSSMi4vVSB9mKjvShK7lh+w8Cm4H7JC2IiPva+uI1maAi4mPNPSfp75L6RsRLkurH0JtaTe7KFvUGAA+UNMjirQb2y3s8AFjbTJvVkroCewOvtHHdSuhIH9KiQ32QNACYCZweEc+VP9yCSvI+RMRySW+SO542v3zhFtSRPhwOnCTpSqAnsEPSWxFR6eKbdvchcgdt3gaIiAWSniO3R1JL78Nq4MGIWA8g6R5gHNDmBFXVA3BlOqg3ncZFElcWaNOL3CSJ+yS3lUCvJm0qXSTRldyY+SDePRg5okmb82h8MPI3yf0RNC6SeJ7qFEm0uw95z59BdYskOvI+9Ezan1it+EvQh0G8WyRxALkPo31rqQ9N2lxG9YokOvI+9Kn/HyZXoLCm6WdUDfRhH2AhSeEN8Cfg00W9fjXeuDL/QnuTy9DPJD97JcvrgOvy2k0mV0zwLHBm3vIryWX+HcnPyyoY+6eAv5GrmvlWsuy7wOeS+93JVSU9CzwOHJi37reS9VaQuyJ8tX7/HenDC+S+eW1KfvfDKx1/R/oAfBt4E1icd3tvjfXhy+QKCxYnHy4Ta/FvKW8bl1GlBNXB9+HE5H1YkrwPn621PiTPfSnpxzIK7Cy0dvOVJMzMLJWyWMVnZmYZ4ARlZmap5ARlZmap5ARlZmap5ARlZmap5ARlZmap5ARl1g6Seko6N+9xP0m3lem1Jkq6pITb+0E1pwIxayufB2XWDsmcN3dFxMgKvNZfyJ0Uub5E2zsA+HlEVOtagWZt4j0os/a5HPhAMpnc9GSCuWUAks6QNEvSnZJWSvq6pAuSK1M/JqlX0u4Dkv6g3OSGD0ka2vRFJA0G3o53r2f2BUnLkskE/5ws65LE8FdJT0g6J2/9C5OJ4pZIuhwgIl4kd9XvQhdcNkuNmrxYrFkKTANGRsQYaNijyjeS3ASG3cldAuaiiBgr6WrgdOCHwLXkprN4RtLhwE+BpkNvR5G71E29S4DxEbFGUs9k2VnAaxHxwWT+qUck/REYSm4+tMMjYnN9YkwsTLb9u3b/BszKzAnKrDzmRsQbwBuSXgPuTJYvBQ6RtCdwJPDbvCkhCk1u2BdYl/f4EeB6Sb8Bbk+WfSLZ5knJ472Bg4GPAb+MiM0AEZF/tfKXgX4d6J9Z2TlBmZVH/kSFO/Ie7yD3f7cLsLF+D6wFW8glHAAiYkqyt/VpYLGkMeTm4/mniJiTv6KkCTQ/11b3ZNtmqeVjUGbt8wawV3tXjtzEcyslfQFAOaMLNF0OHFT/QNIHImJeRFwCrCc3D88c4GuSuiVtBiezyv4RmCxp92R5/hDfYHJXmDZLLScos3aIiA3kjvUskzS9nZs5DThL0hJyUxJ8vkCbPwNj9e444PSk6GFZ8twS4DrgKWBhsvxn5OZ0+gPwe2C+pMXANwGSRHYQlZ/8zqwoLjM3SzlJPwLujIg/lWh7JwDjIuLfSrE9s3LxHpRZ+n2P3KykpdIVuKqE2zMrC+9BmZlZKnkPyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUqmmZ9Tdd999Y+DAgdUOw8zMirBgwYL1EdGntXY1naAGDhzI/Pmec83MrJZIerEt7TzEZ2ZmqeQEZWZmqVTTQ3xm1jnNWrSG6XNWsHbjFvr17MHU8UOYOLZ/tcOyEstcgtq6dSurV6/mrbfeqnYoZm3WvXt3BgwYQLdu3aodSurNWrSGi29fypat2wFYs3ELF9++FMBJKmMyl6BWr17NXnvtxcCBA5FU7XDMWhURbNiwgdWrVzNo0KBqh5N60+esaEhO9bZs3c70OSucoDImc8eg3nrrLXr37u3kZDVDEr179/Zefxut3bilqOVWuzKXoAAnJ6s5/pttu349exS13GpXJhOUmWXX1PFD6NGtS6NlPbp1Yer4IVWKyMolc8egzCzb6o8zuYov+zr9HtSsRWs46vL7GTTtbo66/H5mLVpTku3OnDkTSTz99NMl2R7AjBkzOOigg5DE+vXrW2wbEZx//vkcdNBBHHLIISxcuLBgu2OPPZYhQ4YwZswYxowZw8svv1yw3datWzn00EMbHp9zzjk88sgjjdpcdtll7L777o22seeeewKwatUqjjvuOIYNG8aIESP40Y9+1GjdH//4xwwZMoQRI0Zw4YUXNtuvzZs3c9pppzFq1ChGjhzJ0UcfzaZNmwDo0qVLQz/GjBnDCy+8AMATTzzBEUccwYgRIxg1alTBYz2XXXYZ/fv3b1j3nnvuAeCdd97hzDPPZNSoUYwePZoHHnigYFzXX389a9eubTbuet/73vdabWOtmzi2P49M+ygrL/80j0z7qJNTVkVEzd4OPfTQaOqpp57aaVlzZi5cHUO/PTsOuOiuhtvQb8+OmQtXt3kbzfnCF74QRx99dFx66aVFr7tt27aCyxcuXBgrV66MAw44INatW9fiNu6+++6YMGFC7NixIx599NE47LDDCrY75phj4q9//WurMd1///3x9a9/veHx6NGjd4rz0ksvjf322y8uvPDChmV77LFHRESsXbs2FixYEBERr7/+ehx88MHx5JNPNmz7+OOPj7feeisiIv7+9783G8f3vve9+MY3vtHw+Omnn25Yr/618m3dujVGjRoVixcvjoiI9evXF/z9XnrppTF9+vSdls+YMSPOOOOMhrjGjRsX27dv36ldW3+PhWKsV8zfrlktA+ZHGz7jO/UeVEvlqh2xadMmHnnkEX7xi19wyy23NCx/4IEH+MhHPsIJJ5zA8OHDmTJlCjt27AByexqXXHIJhx9+OI8++mjB7Y4dO5a2Xhz3jjvu4PTTT0cSH/rQh9i4cSMvvfRSu/v0hz/8gU9+8pMALF++nMGDB9OlS5ed2k2ePJlbb72VV155pdHyvn37Mm7cOAD22msvhg0bxpo1ub3V//7v/2batGnstttuALz3ve9tNo6XXnqJ/v3f/bY8ZMiQhvUK+eMf/8ghhxzC6NGjAejdu3fBuJvz1FNPcfzxxzfE1bNnz52u/3jbbbcxf/58TjvtNMaMGcNrr73GkCFDWLEi93d0yimn8POf/5xp06axZcsWxowZw2mnndbmGMw6q06doMpVrjpr1iwmTJjA4MGD6dWrV6Phtccff5yrrrqKpUuX8txzz3H77bcD8OabbzJy5EjmzZvH0Ucf3aHXB1izZg377bdfw+MBAwY0JISmzjzzTMaMGcO///u/k/tys7O5c+dy7LHHAjB79mwmTJhQsN2ee+7J5MmTdxrCy/fCCy+waNEiDj/8cAD+9re/8dBDD3H44YdzzDHH8Ne//rXZdSdPnswVV1zBEUccwbe//W2eeeaZhufqP/zHjBnDCSec0LBtSYwfP55x48Zx5ZVXNrvtGTNmcMghhzB58mReffVVAEaPHs0dd9zBtm3bWLlyJQsWLGDVqlWN1jvppJOoq6vjpptuYvHixey9997MmDGDM844g1tuuYVXX32Vr371q1x++eX06NGDxYsXc9NNNzUbh5nldOoEVa5y1ZtvvpmTTz4ZgJNPPpmbb7654bnDDjuMAw88kC5dunDKKafw8MMPA7njJyeeeGKHXjdfoURTqJT5pptuYunSpTz00EM89NBD3HjjjTu1Wbt2Lb169WL33XcHYM6cOc0mKIDzzz+fG264gddff32n5zZt2sSJJ57ID3/4Q97znvcAsG3bNl599VUee+wxpk+fzhe/+MVmE+WYMWN4/vnnmTp1Kq+88gof/OAHWb58OUDDh//ixYuZOXNmw7YffvhhbrrpJh5++GFmzpzJfffdt9N2v/a1r/Hcc8+xePFi+vbty7/+678CuYQ4YMAA6urq+Jd/+ReOPPJIunZtvbbo4x//OKNGjeK8887juuuua7W9me2sU1fxTR0/pNElU6Dj5aobNmzg/vvvZ9myZUhi+/btSGr45t40SdQ/7t69e1FDT60ZMGBAo2/6q1evpl+/fju1qx8u22uvvTj11FN5/PHHOf300xu1mT17NuPHjwdyRQobN24suK16PXv25NRTT+WnP/1po+Vbt27lxBNP5LTTTmPSpEmNYp00aRKSOOyww9hll11Yv349ffoUni5mzz33ZNKkSUyaNIlddtmFe+65h2HDhjX7ezjmmGPYd999AfjUpz7FwoULG4bt6r3vfe9ruP/Vr36Vz3zmMwB07dqVq6++uuG5I488koMPPrjZvtfbsWMHy5cvp0ePHo1o5+wAABdXSURBVLzyyisMGDCg1XXMrLFOvQc1cWx/vj9pFP179kBA/549+P6kUR2qCLrttts4/fTTefHFF3nhhRdYtWoVgwYNathTevzxx1m5ciU7duzg1ltvLclwXiGf+9zn+NWvfkVE8Nhjj7H33nvTt2/fRm22bdvWUA24detW7rrrLkaOHLnTtvKPP82dO5fjjjuu1de/4IIL+NnPfsa2bduA3B7dWWedxbBhw7jgggsatZ04cSL3338/kBuSe+eddxoSSlOPPPJIw/DbO++8w1NPPcUBBxzQbBzjx4/niSeeYPPmzWzbto0HH3yQ4cOH79Qu//jczJkzG34Pmzdv5s033wTg3nvvpWvXrgXX32uvvXjjjTcaHl999dUMGzaMm2++mcmTJ7N161YAunXr1nDfzFrRlkqKjt6A7sDjwBLgSeA7BdqcAawDFie3f2xtux2t4iuHY445JmbPnt1o2Y9+9KOYMmVKzJ07N4477rj44he/GMOGDYtzzjmnoSKspequ/O30798/unTpEn379o2zzjqr2bY7duyIc889Nw488MAYOXJkowqz0aNHR0TEpk2bYty4cTFq1KgYPnx4nH/++TtVuG3btq2hfUTEeeedF3Pnzi34mk0r4b7xjW9E7k8s4qGHHgogRo0aFaNHj47Ro0fH3XffHRERb7/9dpx22mkxYsSIGDt2bNx3333N9uuGG26IUaNGxciRI2P48OExderU2LFjR0Q0/zu88cYbY/jw4TFixIiYOnVqw/Kzzjqr4ffypS99KUaOHBmjRo2Kz372s7F27dqIiFi5cmUMHjw4hg4dGscff3y88MILBde/7bbbYvDgwTF69OhYvHhxDB06NF5//fWG38Mll1wSEREXXnhhDB06NE499dSd4qz2365ZpdDGKj5FM2P9paTcONYeEbFJUjfgYeCfI+KxvDZnAHUR8fW2breuri6aVlQtX7682eGeanvggQf4wQ9+wF133VXtUNrs4Ycf5te//jXXXHMNAOPGjWPevHm+6nYZpPlv16yUJC2IiLrW2lXkGFSSMTclD7slt/JnRuuwo48+utEwZHMn/JqZlVrFiiQkdQEWAAcBP4mIeQWanSjpI8DfgG9ExKqmDSSdDZwNsP/++5cx4tI79thjG0q1W3LCCSewcuXKRsuuuOKKhkKFfL/85S93Kuk+6qij+MlPftKhWKttzpw5XHTRRY2WDRo0qKE6z8yyryJDfI1eUOoJzAT+KSKW5S3vDWyKiLclTQG+GBEfbWlbzQ3xDR061FeHtpoSETz99NMe4rNOoa1DfBWv4ouIjcADwIQmyzdExNvJw58Dh9IO3bt3Z8OGDc2eR2OWNpFMWNi9e/dqh2KWKhUZ4pPUB9gaERsl9QA+BlzRpE3fiKiv9f0csLw9rzVgwABWr17NunXrOhSzWSXVT/luZu+q1DGovsANyXGoXYDfRMRdkr5Lrtzw98D5kj4HbANeIVd2XrRu3bp52mwzswyo+DGoUip0DMrMzNIttcegzMzM2sIJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUskJyszMUqkiCUpSd0mPS1oi6UlJ3ynQZjdJt0p6VtI8SQMrEZuZmaVTpfag3gY+GhGjgTHABEkfatLmLODViDgIuJomU8KbmVnnUlSCknSgpDslrZf0sqQ7JB3Y2nqRsyl52C25NZ3K9/PADcn924DjJamY+MzMLDuK3YP6X+A3wPuBfsBvgZvbsqKkLpIWAy8D90bEvCZN+gOrACJiG/Aa0LvAds6WNF/S/HXr1hUZvpmZ1YpiE5Qi4saI2Jbcfs3Oe0IFRcT2iBgDDAAOkzSy6bYLrVZgO9dGRF1E1PXp06fI8M3MrFYUm6DmSpomaaCkAyRdCNwtqZekXm3ZQERsBB4AJjR5ajWwH4CkrsDewCtFxmdmZhnRtcj2/5D8PKfJ8snk9nYKHo+S1AfYGhEbJfUAPsbORRC/B74CPAqcBNwfEW3aOzMzs+wpKkFFxKB2vk5f4AZJXcjttf0mIu6S9F1gfkT8HvgFcKOkZ8ntOZ3cztcyM7MMKCpBJQnm08DA/HUj4r9aWi8ingDGFlh+Sd79t4AvFBOPmZllV7FDfHcCbwFLgR2lD8fMrPOYtWgN0+esYO3GLfTr2YOp44cwcWz/aoeVGsUmqAERcUhZIjEz60RmLVrDxbcvZcvW7QCs2biFi29fCuAklSi2im+2pE+UJRIzs05k+pwVDcmp3pat25k+Z0WVIkqfYvegHgNmStoF2Eru3KWIiPeUPDIzswxbu3FLUcs7o2L3oK4CjgB2j4j3RMReTk5mZsXr17NHUcs7o2IT1DPAMp+fZGbWMVPHD6FHty6NlvXo1oWp44dUKaL0KXaI7yXgAUmzyV2hHGi9zNzMzBqrL4RwFV/zik1QK5PbrsnNzMzaaeLY/k5ILSj2ShLfAZC0R0S8WZ6QzMzMip8P6ghJTwHLk8ejJf20LJGZmVmnVmyRxA+B8cAGgIhYAnyk1EGZmZkVPeV7RKxqsmh7wYZmZmYdUGyRxCpJRwIhaVfgfJLhPjMzs1Iqdg9qCnAeuenZVwNjgHNLHZSZmVmxCWpIRJwWEe+LiPdGxJeAYa2tJGk/SXMlLZf0pKR/LtDmWEmvSVqc3C4ptC0zM+scih3i+zEwrg3LmtoG/GtELJS0F7BA0r0R8VSTdg9FxGeKjMnMzDKoTQlK0hHAkUAfSRfkPfUeoEvhtd4VES+RuwoFEfGGpOXkhgmbJigzMzOg7UN8uwJ7kktoe+XdXgdOKuYFJQ0kN7vuvAJPHyFpiaTZkkY0s/7ZkuZLmr9u3bpiXtrMzGqIirnuq6QDIuLFdr+YtCfwIPCfEXF7k+feA+yIiE2SPgX8KCIObml7dXV1MX/+/PaGY2ZmVSBpQUTUtdauqCKJDianbsDvgJuaJqdk269HxKbk/j1AN0n7tvf1zMysthV9om57SBLwC2B5c1c+l/T+pB2SDkti21CJ+MzMLH2KreJrr6OALwNLJS1Olv0/wP4AEXENuWNZX5O0DdgCnOx5p8zMOq+2VvH9GGg2WUTE+S2tHxEPk5sevqU2M4AZbYnHzMyyr617UK5EMDOzimpTgoqIG/IfJyfbRn1Rg5mZWakVOx/USEmLgGXAU5IWNHe+kpmZWUcUWyRxLXBBRMyF3PXzgJ+Tu8qEmVlFzFq0hulzVrB24xb69ezB1PFDPHV6BhWboPaoT04AEfGApD1KHJNllD9UrBRmLVrDxbcvZcvW3FR0azZu4eLblwL47yljij0P6nlJ/yZpYHL7NrCyHIFZttR/qKzZuIXg3Q+VWYvWVDs0qzHT56xoSE71tmzdzvQ5K6oUkZVLsQlqMtAHuB2Ymdw/s9RBWfb4QyU9Zi1aw1GX38+gaXdz1OX319yXhLUbtxS13GpXUUN8EfEquVl0zYqSlQ+VWh+mzMLwWL+ePVhT4O+mX88eVYjGyqnYKr46SbdLWijpifpbuYKz7Gjuw6OWPlSyMEyZhT3ZqeOH0KNb41l+enTrwtTxQ6oUkZVLsUN8NwHXAycCn827mbUoCx8qWfhwz8Ke7MSx/fn+pFH079kDAf179uD7k0bVzB6gtV2xVXzrIuL3ZYnEMq3+w6OWh8ey8OGeleGxiWP719TfjrVPsXtQl0q6TtIpkibV38oSmVnKZGGYMgt7stZ5FLsHdSYwFOgG7EiWBbmqPrNmZeHg/NTxQxr1AWrvwz0Le7LWeRSboEZHxKiyRGKZ1tLxm1r5cMzKh7uHx6xWFJugHpM0PCKeKks0lllZOH4D/nA3q6Rij0EdDSyWtCIpMV/aljJzSftJmitpuaQnJf1zgTaS9P9KejbZ9rgiY7MUy8LxGzOrrGL3oCa083W2Af8aEQuTqToWSLq3yZ7YJ4GDk9vhwH8nPy0DsnD8xswqq9grSbzYnheJiJeAl5L7b0haDvQH8hPU54FfJdO8Pyapp6S+ybpW47Jy/MaslGr9yiTlVuweVIdJGgiMBeY1eao/sCrv8epkWaMEJels4GyA/fffv1xhWhn4+I3Zu7JQ2VpuxR6D6hBJewK/A/4lIl5v+nSBVWKnBRHXRkRdRNT16dOnHGGamZVdFq5MUm4V24OS1I1ccropIgqdN7Ua2C/v8QBgbSVis8rwcIbZu7JS2VpOFUlQkgT8AlgeEf/VTLPfA1+XdAu54ojXfPzpXbX+4e7hDLPGsnLZqXKq1BDfUcCXgY9KWpzcPiVpiqQpSZt7gOeBZ8lNI39uhWJLPV9FOz1qfS4lSw9fdqp1FdmDioiHKXyMKb9NAOdVIp5ak4WrMGRhOMN7gVZKrmxtXcWr+Kx4hYYBWlqeRlkYzsjCFwVLF1e2tqyiVXzWPl1UeOezueVpNHX8ELrt0jjebruopoYzsvBFwayWOEHVgO2xU7V9i8tTq2k+rZ38CmTji4JZLXGCqgH9mxkGa255Gk2fs4Kt2xsn1K3bo6aKJDLzRcGsRjhB1YAsVPtkoUgiC18UzGqJE1QNmDi2P9+fNIr+PXsgch+I3580qqYOrmbhauZZ+KJgVkucoKwisvDhnoUvCma1xGXmNSAL599k5ZyPLJQF1/pVSazzcIKqAVk5/yYLH+61LgtfdqzzcIKqAVkoMLB0yMqXHe8Fdg4+BlUDslBgYOmQhS87Wbg2pbWNE1QNyEKBgaVDFr7sZOXCw9Y6J6ga4OoxK5UsfNnJwl5gPV8dv2U+BmXWiWShmjILFx4GF6y0RaUmLPwf4DPAyxExssDzxwJ3ACuTRbdHxHcrEVst8B+ylVKtV1NOHT+k0f8D1N5eIGSnYKWcKjXEdz0woZU2D0XEmOTm5JTHY+5m78rKkHeWhirLpVITFv5Z0sBKvFYW+Q/ZrLFa3wuE7AxVllOaiiSOkLRE0mxJI6odTJpkofLKzBrLQsFKuaUlQS0EDoiI0cCPgVnNNZR0tqT5kuavW7euYgFWk/+QzbInK0OV5aSo0Fw2yRDfXYWKJAq0fQGoi4j1LbWrq6uL+fPnlyS+tPOZ82aWFZIWRERda+1SUWYu6f3A3yMiJB1Gbs9uQ5XDSpUsjLmbmRWjUmXmNwPHAvtKWg1cCnQDiIhrgJOAr0naBmwBTo5K7dqZmVkqVaqK75RWnp8BzKhELGZmVhtSMcRnrfMxKDPrbJygaoCvJGGl5C87VivSUmZuLfCVJKxUPFWF1RInqBrgK0lYqfjLjtUSJ6ga4CtJWKn4y47VEieoGuArSVip+MuO1RInqBrgS6JYqfjLjtUSV/HVCF9JwkohCxMWWufhBGXWyfjLjtUKD/GZmVkqOUGZmVkqVWy6jXKQtA54sYhV9gVanMKjBrgP6eA+pEMW+gDZ6EcxfTggIvq01qimE1SxJM1vyxwkaeY+pIP7kA5Z6ANkox/l6IOH+MzMLJWcoMzMLJU6W4K6ttoBlID7kA7uQzpkoQ+QjX6UvA+d6hiUmZnVjs62B2VmZjXCCcrMzFIpcwlKUi9J90p6Jvm5TzPtvpK0eUbSV/KW/6ekVZI2VS7qhteeIGmFpGclTSvw/G6Sbk2enydpYN5zFyfLV0gaX8m4m8TYrj5I6i1prqRNkmZUOu4mMba3Dx+XtEDS0uTnRysde16M7e3DYZIWJ7clkk6odOx5Mbb7/yF5fv/k7+mblYq5qQ68DwMlbcl7L66pdOx5MXbkc+kQSY9KejL5v+he1ItHRKZuwJXAtOT+NOCKAm16Ac8nP/dJ7u+TPPchoC+wqcJxdwGeAw4EdgWWAMObtDkXuCa5fzJwa3J/eNJ+N2BQsp0uVfjdd6QPewBHA1OAGVX8++lIH8YC/ZL7I4E1NdiH3YGuyf2+wMv1j2ulD3nP/w74LfDNGnwfBgLLqhF3CfvQFXgCGJ087l3s51Lm9qCAzwM3JPdvACYWaDMeuDciXomIV4F7gQkAEfFYRLxUkUgbOwx4NiKej4h3gFvI9SVfft9uA46XpGT5LRHxdkSsBJ5Ntldp7e5DRLwZEQ8Db1Uu3II60odFEbE2Wf4k0F3SbhWJurGO9GFzRGxLlncHqlVF1ZH/ByRNJPfF88kKxVtIh/qQEh3pwyeAJyJiCUBEbIiI7RQhiwnqffUJJvn53gJt+gOr8h6vTpZVU1tiamiTfIi8Ru5bSVr605E+pEWp+nAisCgi3i5TnC3pUB8kHS7pSWApMCUvYVVSu/sgaQ/gIuA7FYizJR39WxokaZGkByV9uNzBNqMjfRgMhKQ5khZKurDYF6/J6TYk/Ql4f4GnvtXWTRRYVu16+7bE1FybtPSnI31Iiw73QdII4Apy3yCroUN9iIh5wAhJw4AbJM2OiErv2XakD98Bro6ITVXeGelIH14C9o+IDZIOBWZJGhERr5c6yFZ0pA9dyQ3bfxDYDNwnaUFE3NfWF6/JBBURH2vuOUl/l9Q3Il6SVD+G3tRq4Ni8xwOAB0oaZPFWA/vlPR4ArG2mzWpJXYG9gVfauG4ldKQPadGhPkgaAMwETo+I58ofbkEleR8iYrmkN8kdT5tfvnAL6kgfDgdOknQl0BPYIemtiKh08U27+xC5gzZvA0TEAknPkdsjqaX3YTXwYESsB5B0DzAOaHOCquoBuDId1JtO4yKJKwu06QWsJFcgsU9yv1eTNpUukuhKbsx8EO8ejBzRpM15ND4Y+Zvk/ggaF0k8T3WKJNrdh7znz6C6RRIdeR96Ju1PrFb8JejDIN4tkjiA3IfRvrXUhyZtLqN6RRIdeR/61P8PkytQWNP0M6oG+rAPsJCk8Ab4E/Dpol6/Gm9cmX+hvcll6GeSn72S5XXAdXntJpMrJngWODNv+ZXkMv+O5OdlFYz9U8DfyFXNfCtZ9l3gc8n97uSqkp4FHgcOzFv3W8l6K4BPVvH335E+vEDum9em5Hc/vNLxd6QPwLeBN4HFebf31lgfvkyusGBx8uEysRb/lvK2cRlVSlAdfB9OTN6HJcn78Nla60Py3JeSfiyjwM5Cazdf6sjMzFIpi1V8ZmaWAU5QZmaWSk5QZmaWSk5QZmaWSk5QZmaWSk5QZu0gqaekc/Me95N0W5lea6KkS0q4vR9U80rrZm3lMnOzdkimFLgrIkZW4LX+Qu6ck/Ul2t4BwM8jolqXYjJrE+9BmbXP5cAHkrl6pifz9ywDkHSGpFmS7pS0UtLXJV2QXPjzMUm9knYfkPQH5eaOekjS0KYvImkw8Ha8e7mYL0halszV9OdkWZckhr9KekLSOXnrX5jMw7NE0uUAEfEiuYuqFrqepVlq1OS1+MxSYBowMiLGQMMeVb6R5OaH6k7uDPuLImKspKuB04EfAteSu1r4M5IOB34KNB16O4rclQTqXQKMj4g1knomy84CXouIDybTezwi6Y/AUHLTzRweEZvrE2NiYbLt37X7N2BWZk5QZuUxNyLeAN6Q9BpwZ7J8KXCIpD2BI4Hf5l1xu9DcUX2BdXmPHwGul/Qb4PZk2SeSbZ6UPN4bOBj4GPDLiNgMEBH5F4N9GejXgf6ZlZ0TlFl55M8DtSPv8Q5y/3e7ABvr98BasIVcwgEgIqYke1ufBhZLGkNuuoN/iog5+StKmkDzU5l0T7Ztllo+BmXWPm8Ae7V35cjN67NS0hcAlDO6QNPlwEH1DyR9ICLmRcQlwHpy0xzMAb4mqVvSZnAyad8fgcmSdk+W5w/xDSZ3AU+z1HKCMmuHiNhA7ljPMknT27mZ04CzJC0hd8XnplNpA/wZGJs3Dfj0pOhhWfLcEuA64ClgYbL8Z+SmzPgD8HtgvqTFwDcBkkR2EJWfW8isKC4zN0s5ST8C7oyIP5VoeycA4yLi30qxPbNy8R6UWfp9j9ykb6XSFbiqhNszKwvvQZmZWSp5D8rMzFLJCcrMzFLJCcrMzFLJCcrMzFLJCcrMzFLp/wfUC8CWDMlyZAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 7 $$$ 7 $$$ 7 $$$ 7 $$$ 7 $$$ 7 $$$ 7 $$$ 7 $$$ 7 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.49539285714e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.483 +/- 0.077 uk (5.16570435244 %)\n",
      "mean Na temp = 1.495 +/- 0.031 uk\n",
      "111111    1.58318518519e-06\n",
      "222222       [26]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.58318518519e-06 *******\n",
      "init mol temp = 1.58654166667 (0.850659097627 %)\n",
      "mean mol temp = 1.58318518519 (3.61121806583 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 304.75699935E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 164.18982019k\n",
      "TOTAL Na num = 164.18982019k\n",
      "\n",
      "init mol temp/init Na temp = 1.06095308607\n",
      "init mol temp = 1.58654166667e-06 uk\n",
      "init na temp = 1.49539285714e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.39587334293\n",
      "\n",
      "init na num = 248.056760471 at 1.49539285714 uk\n",
      "init Na density = 3.75745713429e+11 cm^-3 (7.23864023643 %)\n",
      "\n",
      "init overlap density = 2.96172638709e+11 cm^-3 (9.08099530998 %) (34.2266632294 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.788226260803\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 36.5715197602 at 1.58654166667 uk\n",
      "init molecule density = 3.5721626615e+11 cm^-3 (9.21389620504 %)\n",
      "two-body rate coefficient = 2.48774047508e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0839078869106\n",
      "loss rate coefficient = 2.22417934061e-11 (12.3640531654 %) (35.2401732498 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 7.66652861032\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0614575645824\n",
      "\n",
      "loss rate from EXP fit = 7.13303301164\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.48774047508e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0839144476755\n",
      "loss rate coefficient = 2.38198169468e-11 (10.5099343725 %) (34.6332025738 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.48774047508e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0872331188845\n",
      "loss rate coefficient = 2.34704702218e-11 (10.7767595098 %) (34.7151054374 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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0VclQRy1D7TVkWWpIr6skyV1GbMku7PVlWOuDBe10c8GhQCXBp2mwPhViUszFEDOcAfu+bUcSWPu231F/+WLvLz8aBzrtupkrpb4B/gpshqYXarTWH/Wsae0TSW7mQvtorSmvK2dfzT5jqTXW+2v3G+ua/RyoPUB9Y/BoskKR6kwl3ZnOoJhBZMRkkB6TTkZMBmnONP86xZFCg1dTXO42BMsULd+6qMJFUbkrKKitDQ9DHbWMjq9nZKyLoXYX2dG1pFurSaaS+MZK7PXlqNpD4CqF2kPgbWO025HYJFjO5JbbzmSISTb3zcWeGDFejv3J1V68+CKXbnsPSin1kdb6lG6zrBsRgep/+ETsQO0B9tfuZ3+tIVoltSVB22V1Ld/dilJRpDhTSHOmke5M9w9X+vZTnamk2FPR3ngOVetg8fIJWrmLKrcnqN1oq4XsJAfZSU6yEx3kxmtyY+rIcbjItNWSoqqJri+H2lJTxALXZeAqh7qKNj61MoUtGZxJTcLlSDL221rb49udW+ss8sUu9DTdKVAPYwztvUHwEF/Y3cxFoAYu9d56DroOcqD2QNC6xFVCiauEg7UHOeg6SKm7NGhezEdMVAypzlRSHakt1g5rIo2eGFyuGKprHRystFBU7vaL2IGqOpr/26TF2Rmc5GBwspPsRCOVSnaS059WJdmhUK5yU7DKDAHz75vb7sDjAfu6sYX9fpTFEDe/aCUGLM33zcWe0LQdHdvtAicI7dGdArUiRLHWWrfpZq6UGgIsAzIxhgaf0FovVkotBP4HqMdwXb9Ka12ulMoFtgDfmU2s1lrPbesa3SVQ8oux/+Jp9FBeV05JbQmH3Ic46DKE65DrkLG4jXWpuzRkrwyMebIURwopjhSS7ckk2pOxq3hojMPbEIO7zklNrYOyKhslFTb2lYG7IbgNh81CdpKTweaS7V8cDE5ykpnowB4VIrml1lBXZYpVefDaXRFcVlcZcKzSOO5px7lBWcGRYIpWAtgTKa6zsfGA5kB9NNqewOTRwxg/YkhTPX/deGM7Oi5ihiiFvkHYQx0ppbKALK31eqVUPLAOOBcjlfuHWmuPUur3AFrru0yBelNrPb6j1whXPiihf+Jp9FDmLqPUXeoXLt9+qbs06FiZu4xaT23IdizKQrwtgdioROyWeCw6jkaPk4Z6J7VuB5U10VTWRIM3Bm0uNDpJj4vxi5h/SDFA0JJjbKjO9nY8dU1i5a4Ad5mxX+crM9d1leCu5OChEg4ePEActcRTSxwurKoD3xHR8YZoRceZwhXfJGD+7bhgUQssiza3oxzSoxsAdFuoI6XU/aHKtda/aus8M617sbldpZTaAgzWWr8XUG018OP2bOhJ5IU+wUeUJYr0mHTSYzr2Umqdt84vWuXucsrqyihzl1FWV+bfr6iroKzuEJWN5ZSpMjx2D9gNv4nmNOBkr45lt8tJfaUD7w4nujEG7XWivTFEEUOKM4n0mGSy4pPJSUxlWHIauclJDDYTXDpszXphUXaISzeWDnDOgx9SWBfY69LE4uaIRM3r10wwhMwUM+qqzP0qs5dXCfUB25VFUF9tlldDyJSWzbBEGcOOPsGKjmtah9yObdqPjg04Hmsstljp3fVhOuITGxi7xgGchTEU12HM3tEk4Itmh64GXgjYH66U2gBUAr/UWn8Soq3rgesBhg4d2hkzQhIp733IMGPfw261+9/r6ghaa2o9tZTXlVNeV06Fu6Jpu76CijpjKa8rp7KukjJ3BWV1u6lpqEKbDrSV5rLDBbiAfaC11RQxJ1E4sVvjiI2KJ9GeQLIjgfTYJDLjk8lJSCE7IZlEewJx0XEkRCcQZ4vDbrX7e2Ytn3tFDU6+qgAyxhz+zWpshIYaqKs2BMwnZHXVhnj5RK6+OrjMt199IPhYW56UzbHFBAtWdLMl8Hjgvi3GFLuYZmUxRjthDMs1UOj0EJ9Syg68obWe2cH6ccBHwG+11q8ElP8CmAycr7XWZrtxWutDSqljgdeAcVrrypANE3qIr6GhgYKCAtxudytnBbOvwo2nseU9iLIoMhMdHWqjq9TWeyivbSDQDIuCpBgbMdF9+70aoWM4HA5ycnKw2VqGb2rUjdQ01FBRV0FlfSWV9ZVU1FVQ6iqnqLKMfdWllNSUU+auoLK+ilpPFXWNNXioBYsLpdpwsgCsKgqnNY646DgOlCvqG6LRjXbwOtCNDrTXQYI9nrtn5hFniyPWFktcdBxxNmOJscUQa4slytKLz6qn3hAqn2g11La/XV8T4lhNU3lD6CHbVrFEmYIXAzZny22b01iifdsxAeuYEGXOlmV9/L261ujJaOYxwIgOGmEDXgaWNxOnKzB6YqdpUyG11nWYXoJa63VKqR3AKKBTk0wFBQXEx8eTm5vbofH6zNp6CstcNAYItUUpBic7SY7pnV9IW4srsXlbfolEWy2MyUroFRuE8KG15tChQxQUFDB8+PAWxy3KQnx0PPHR8Z1ut6K2gV2lZewqO8juskMUVJSyv6qcktpySl0VVNVXU6dcuKxuyixulNWNsrhRtmqUw42y1IGljjql+b9Vr7d5PYfV4RevmKgY4qLjiI2K9QtYrM3cjooN2o+JivHX8W07o5z+CCMhiYqGqJTQY6WHi6+XV18bsG4mYv51bZOoBe776tYcDCh3GduNDe3b0BxLVLB4RTnB5jDKohwB5WaZzdFUp9W1o+lc/7Z5PMIEsSNzUJtpGjy2AulAm/NP5nkKeBLYorV+OKB8FnAXcIrWujagPB0o1Vp7lVIjgCMJSu7QMdxud4fFCfCL0P4KN/XeRqKtFgYlOnpNnADqQ4hTW+VC/0IpRWpqKiUl3RvvTilFUmw0k2IHMWnIoJB1vI2akqo6iipcFJuu9J9sL2FNfinuhkYsyujBYWkwhMviBksdibFekuK8JMR4iXN6cdgbiLbVExVVD5Y6PNpFraeGfbX7qGmooaahhtqG2qBgxO3hjHL6BSsmyhAtn3i1te+IcuCMcra62CytOJtYLE0OHT2Bt8EUNFeTeHncAduupmMN7oBtV8tjHrfxCkJVsXnc3bT2dPwet8AS1SRafuEyl8teMt7P60U6IpdnBWx7gP1aa09rlQOYCvwE2KyU2miW3QssAezA++ZD4nMnnwb8SinlAbzAXK11acc+RjCd9XRKjonuVUFqTrTVElKMogdYNtuBTKe987oJqzmUnZnoAHNK97ppwQMk7gYv+yrcZiQON8XlLooqDDErLnWxo9xNdZ2nRbsZ8XayEh0MNz0RsxIdZCREkxLXSEJMI/ZoDy5PLbWeWr+IuTwuahuaylweV9B2dX01B2oP+Ou5PK5OiR6AVVlxRjlxRDlwWB04bU6cVqdf2Hzlvn271d5y2+rEHmXHbrUHlTusDuxRdhxWR0shtNrAar5/1pM0NjYJVYMrWLiCtt2m8LmbHa8zyj11AfXcRjzLXqZdgdJa71ZKWYFBZv1spRRa65Yx+YPP+xQI9V/3div1X8YYDhxwDEp0hBxmHNRLc2DdRVltfVh7okLP4LBZyU2LJTctttU6le4Gowdm9sSKfWJW4eLboko++HY/dZ7gH2HRVguZiQ6yEh1kJ6WQlZhNVpKTIYkOMlMcZCc6SeqAa7230Yvb68blceFqMATNJ2wuj8u/uD3uoLVP3FwNxtrtcXOg9oB/21+/kwLoQ6FwRDmItkb7Bc9utbdcolqW+c6Jtkb7930iaLPYgur5jgWWR9mcqOiYw7I7kujIEN9PgQeA/TTF4tPAxB60a0ARCcOMXaWs2VxevbeRwjLDI6wvfQ7h8Ehw2EjItDE6M/TwmNaa0pp6in09r4pgMVuzq5T9lS0dlpw2K1mJDrKSHGQlGqGmsszeWFaik6wkBwkOG7EWY06LHohpq7WmzltniJZPvALWdZ46Y+2r4zG3A47Ve+v9+3VeY6msr2w65jHWvmNe7W3fsHawW+1EW6L9IuZfLE1rm9UWVMdmsbU45ltfMPoCnFG9GzS4I0N8twGjtdaHetqYgUy4hxm7yv4Kd1APEKBRa/ZXuPv05xK6B6UUqXF2UuPsjB8ceojL26g5WF3XJGDm2je8+On2gxyoctPc6TbOHkWWOUyZbYqWX8BMQYuzH/7kv1JGT8gR1XsjGp5GT5Bg+RdPHfWN9UHb9d56f92Gxgb/tu9YnbeOem89Dd4Gf3mDt4H6xnqqG6r9+4HnNzQ20OBtwBMwm3POEedEpEDtBdqKdCmE4B//+AdLliyhvr6eKVOmcO+993L66aezatUqUlJSOOWUU7jvvvsYNWoUs2bNYsqUKWzYsIFRo0axbNkyYmL6VvdcHD2ErmK1KAYlOBiU4KBlNjIDj7eR/VV17AsYQiwqN0SsuMLF1n1VHKxuGSsx3hEVLFp+8WoSs9guiFh3E2WJIsoSRYwtvN8D3kYvHm2IZayt9SHenqIjf5GdwEql1FsEB4t9uPVTIoP/+/c3fFvU6mtUh8VR2Qk88D/j2qyzZcsWXnjhBT777DNsNhs33XQTH330EXfddRdz585lypQpHHXUUZxxxhnk5+fz3Xff8eSTTzJ16lSuvvpq/vznP3PnnXd2q909jTh6CL1BlNXij2d4bOi0ZNR7Gtlf6abYFK3iCsOxw9h3801RJQerW2Zp7msi1htYLVasWLFb7WG5fkfu9h5ziTYXoR3++9//sm7dOo477jgAXC4XGRkZzJ8/nxdffJHHH3+cjRs3+usPGTKEqVOnAnDZZZexZMmSPidQ/cXRQ+j7REdZGJISw5CU1nsfdR4vByqbhhONoUTDO3FfhZtviio4WN0yWoVPxDITnWQlNIlXpilmmYkO4u1RYfPK7G90xIvv/3rDkJ6gvZ5OT6G15oorrmDBggVB5bW1tRQUFABQXV1NfLwxodz8Ye6LD3d/cPQQBg72KGuHRGx/RR37Kpt6YvsC5sa2FFeGHE6MjbYa82FJTjITWgpYVqKDROdhBP4NA+EOwTaw+qs9SKCL9fCJU1i0+FJuv/12MjIyKC0tpaqqioceeog5c+YwbNgwrrvuOt58800A9uzZw6pVqzjxxBN57rnnOOmkk8L8aQ6Pvu7oIQiB2KOsDE2NYWhq6yJW72nkQJU7uBdW7vYPMW7bX0JJVV0Lxw6HzUJWYqCAtRSylJhoLJbwiVjzTA+F5S7ueWUzQK+JlAhUN9DcxXroyFHc+L+/4LTTf4hCY7PZePjhh/nyyy/57LPPsFqtvPzyyyxdupQZM2YwduxYnnnmGW644QaOPPJIbrzxxjB/IkEQOkJ0lIWc5BhyklsXMY+3kZLquiDh8g0n7q9w80UrLvbRVgsZCXa/cGUm2P0CNsgUtox4O1E9NM8bCZkeRKC6gVAu1mf8z3mcde7soFh6q1ev9m+/8ooRmjA/Px+LxcLjjz/eO8YKbSIvGwvdTZTVYjpctO6i3dioOVhTZ3ojBgqZMaS4uaCc9yrcLV52tigjm3NTL8zpF6/MRAeZCca6RRqWDhAJmR468qKuA7gGGIeRbgMArfXVPWhXn0JcrPsH8rKxEC4sFkVGvIOMeAcTc0LX0VpTXtvAvsqmd8P2V7jNOTI3O0tq+HzHIarcLSPRJcXY/GLl64FlJjgYZO5nJThJcAY7d2QnOSkMIUbZSb33LlRHelDPAluBmRhBYufQyXxQ/Z2uuFjn5uby9ddf94RZQieRl42FSEYpRXJsNMmx0YxtI8tBdZ2HfRUu9pkOHvsqXH5R21fp5uvC0B6KDpvFL2KZCQ5GZ8ZzoNJNQ8DQo9NmZd7M0T3y+ULREYE6Qmt9gVLqHK31M0qpfwLv9rRhfQlxse4fSE9Y6A/E2aM4IiOeIzJaj8ruc+7wida+iuDttbvLOFBZFyROmQkO7j5zTMR58fmSmJQrpcYD+4DcHrOoDyIu1v0DedlYGCh0xLmjsVFTWlvPPnNO7NQxGb3uGt8RgXpCKZUM3Ae8AcQB97d3klJqCLAMyMQIMvuE1nqxUioFI817LpAPXKi1LjPzRy0GfgTUAldqrdd3+hOFCXGx7vtIT7h/Ee53ePo6FosiLc5OWhvxE3uajryo+3dz8yM6mEnXxAP8r9Z6vVIqHlinlHofuBL4r9b6QaXU3cDdGAmVQfOcAAAgAElEQVQMz8RIUngkMAX4i7kWhF5BesL9h0h4h0foOh3x4rMDszF6PP76Wus2s+pqrYuBYnO7Sim1BRgMnANMN6s9A6zEEKhzgGVmCvjVSqkkpVSW2Y4g9ArSE+4fRMI7PELX6cjg+usY4uEBagKWDqOUygUmAV8Ag3yiY64zzGqDMSKn+ygwy5q3db1Saq1Sam13p8iONJ5++mluueWWdusUFRX596+99lq+/fbbTl2nrq6O008/nby8PF544YXDsrU3WLlyJWeddVbIY5dccgkTJ07kkUce4f777+eDDz4AYNGiRdTW1vammUIEEAnv8AhdpyNzUDla61mHewGlVBxGptyfaa0r25hkC3VAtyjQ+gngCYDJkye3OD7QePrppxk/fjzZ2dkA/P3vf2/njJZs2LCBhoaGoAC2PrxeL1Zr51/y60327dvH559/zu7du1scW7RoEZdddlmfS18idI1IeIdH6DodEajPlVITtNabO9u4UsqGIU7LtdavmMX7fUN3Sqks4IBZXgAMCTg9ByiiK7xzN+zrtNltkzkBznywzSrnnnsue/fuxe12c9ttt3H99dcDEBcXx2233cabb76J0+nk9ddfZ9CgQfz73//mN7/5DfX19aSmprJ8+XIGDRrkb6+qqoqJEyeybds2bDYblZWVTJw4kYULF7J27VrmzJmD0+lk1apVnHnmmTz00ENMnjyZ//znP9x77714vV7S0tL473//28LWAwcOcNlll1FSUkJeXh4vv/wyp512GldffTXvvfcet9xyC2PGjGHu3LnU1tYycuRInnrqKZKTk5k+fTqTJk1i3bp1lJSU8KcnnuTBBQvYtuVbzjznfBb87rcthsvi4uK4+eab+eCDD0hOTuZ3v/sdP//5z9mzZw+LFi3i7LPPxu12c+ONN7J27VqioqJ4+OGHmTFjRqv3+4wzzuDAgQPk5eXx6KOP8uSTT3LWWWdRVFREUVERM2bMIC0tjRUrVnTmLy30YebNHM28FzcFuUnbLKpX3+ERuk5HhvhOwnBw+E4p9ZVSarNS6qv2TjK98p4EtjTLHfUGcIW5fQXGEKKv/HJlcAJQ0Vfnn5566inWrVvH2rVrWbJkCYcOGcmIa2pqOOGEE9i0aRPTpk3jb3/7GwAnnXQSq1evZsOGDVx88cX84Q9/CGovPj6e6dOn89ZbbwHw/PPPM3v2bC644AImT57M8uXL2bhxI05n06/DkpISrrvuOl5++WU2bdrEiy++GNLWjIwM/v73v3PyySezceNGRo4cCYDD4eDTTz/l4osv5vLLL+f3v/89X331FRMmTOD//q8pwH10dDQff/wxl199LZdcMJu7f72Qlz/4nFdf+Cff7CykrDb4hcCamhqmT5/OunXriI+P55e//CXvv/8+r776KvffbziHPvbYYwBs3ryZ5557jiuuuAK3293q/X7jjTcYOXIkGzdu5OSTT/aX33rrrWRnZ7NixQoRp4FI8zGZyA8eLjSjIz2oMw+z7anAT4DNSinf2NG9wIPAv5RS12DkmbrAPPY2hov59xhu5lcd5nWbaKen01MsWbKEV199FYC9e/eyfft2UlNTiY6O9s+hHHvssbz//vsAFBQUcNFFF1FcXEx9fT3Dhw9v0ea1117LH/7wB84991yWLl3qF7fWWL16NdOmTfO3lZKS0qnPcNFFFwFQUVFBeXk5p5xyCgBXXHEFF1xwgb/e2WefDUBW7ihGjhpD+qBMAHKGDqOosIC01NSgXlR0dDSzZhkjxhMmTMBut2Oz2ZgwYQL5+fkAfPrpp/z0pz8FYMyYMQwbNoxt27Z1yn5hYLPw3e9o8AbPADR4tThJ9DE64mbecmC/A2itP6X13yynhaivgZsP51qRxMqVK/nggw9YtWoVMTExTJ8+3f/r32ZrygFjtVrxeIyYWT/96U+54447OPvss1m5ciXz589v0e7UqVPJz8/no48+wuv1Mn78+Dbt0Fp36aW62NiOpXe2241Mm14UtugmIbJYLHg9nhYvvgbeA4vF4j/fYrH474dunmBHEDqJOEn0D+QV+W6moqKC5ORkYmJi2Lp1a1AE87bOGTzY+FX3zDPPtFrv8ssv55JLLuGqq5o6l/Hx8VRVVbWoe+KJJ/LRRx+xa9cuAEpLSzv7UQBITEwkOTmZTz75BIBnn33W35sKxNZK3prDicIwbdo0li9fDsC2bdvYs2cPo0cf3txBa/dH6N+05gwhThJ9CxGobmbWrFl4PB4mTpzIfffdxwknnNDuOfPnz+eCCy7g5JNPJi0trdV6c+bMoaysjEsuucRfduWVVzJ37lzy8vJwuZp+Haanp/PEE09w/vnnc/TRR/uH7A6HZ555hnnz5jFx4kQ2btzonysKJDk2GtWsw3y4URhuuukmvF4vEyZM4KKLLuLpp5/297Q6y/XXX8+ZZ57ZppOF0P+YN3M0zmYpJno70KnQdVRfHk6ZPHmyXrt2bVDZli1bGDt2bJgs6lleeuklXn/9dZ599tlwmxISyaXUNfrzsxsOJNRR5KKUWqe1ntxePUlY2Ef46U9/yjvvvMPbb78dblNaRaIwCJHEuZMGiyD1cUSg+giPPvpol9tYunQpixcvDiqbOnWq361bEAQhkhCBGkBcddVVQQ4WgiAIkYw4SQiCIAgRiQiUIAiCEJGIQAmCIAgRiQiUIAiCEJGIQEUw/TEfVG5uLrNnz/bvv/TSS1x55ZWdamPevHmMGzeOefPm8fjjj7Ns2TKg5b0QBKFvI158fZy+mA9q7dq1fPPNN4wbN+6wzv/rX/9KSUlJi+gSze+FIAh9m34tUL9f83u2lm7t1jbHpIzhruPvarPOQM0HtWzZMhYsWMDmzZu56KKL+M1vfhPy/tx555387ne/88fb87FmzRp+9rOf4XK5cDqdLF26tEUMvrPPPpuamhqmTJnCPffcw5YtW4iLiyM3N7fFvQhMPyIIQt+jx4b4lFJPKaUOKKW+Dih7QSm10VzyfWk4lFK5SilXwLHHe8qu3mAg5oOaO3cu55xzDo899hhff/01Tz/9tP9zN+fCCy9k/fr1fP/990HlY8aM4eOPP2bDhg386le/4t57721x7htvvIHT6WTjxo1B8QV//OMft3ovBEHom/RkD+pp4E/AMl+B1tr/jaKU+iNQEVB/h9Y6rzsNaK+n01MMxHxQEyZMYNy4cWRlZQEwYsQI9u7dS2pqaou2rVYr8+bNY8GCBZx5ZlO6sYqKCq644gq2b9+OUoqGhoZO2SwIQv+ix3pQWuuPgZA5HsxsuxcCz/XU9cNFYD6oTZs2MWnSpA7lg7rlllvYvHkzf/3rX0Nmj430fFCBuZ18+77PF4qf/OQnfPzxx+zZs8dfdt999zFjxgy+/vpr/v3vf7eZRVcQhP5PuLz4Tgb2a623B5QNV0ptUEp9pJQ6ubUTlVLXK6XWKqXWlpSU9LylnWSg5oPqLDabjdtvv51Fixb5ywLvw9NPP93pNiX3kyD0L8IlUJcQ3HsqBoZqrScBdwD/VEolhDpRa/2E1nqy1npyenp6L5jaOQZqPqjD4ZprrgnqZf385z/nnnvuYerUqXi93k6319q9EAShb9Kj+aCUUrnAm1rr8QFlUUAhcKzWuqCV81YCd2qt14Y67kPyQQn9if787ApCIJGcD+p0YGugOCml0oFSrbVXKTUCOBLYGQbbIpa+kA9KEAShO+kxgVJKPQdMB9KUUgXAA1rrJ4GLaekcMQ34lVLKA3iBuVrrw5s06adIPihBEAYakvJdECIEeXaFSOO1DYUsfPc7ispdZCc5mTdzdLdkKY7kIT5BEAQhwnltQyH3vLIZV4PhsFRY7uKeVzYDdItIdQQJFisIgiC0YOG73/nFyYerwcvCd7/rNRtEoARBEIQWFJWHflWjtfKeQARKEARBaEF2Uuh4lq2V9wQDXqBe21DI1Ac/ZPjdbzH1wQ95bUNht7T76quvopRi69bui6b+pz/9iSOOOAKlFAcPHmyzrtaaW2+9lSOOOIKJEyeyfv36kPWmT5/O6NGjycvLIy8vjwMHDoSs19DQwLHHHuvfv+GGG/jss8+C6syfP5+YmJigNuLi4gAjJuGMGTMYO3Ys48aNC/Im3LhxIyeccAJ5eXlMnjyZNWvWtPq59u/fz1lnncXRRx/NUUcdxY9+9CMA8vPzcTqd/s+Rl5dHfX09YISfysvLY9y4ca1GwbjyyisZPny4/1xf6pGysjLOO+88Jk6cyPHHH8/XX38d8vxFixZRW1vbqt0A5eXl/PnPf26zjiBECvNmjsZpC06147RZmTdzdCtn9ABa6z67HHvssbo53377bYuy1nh1fYEe88t39LC73vQvY375jn51fUGH22iNCy64QJ900kn6gQce6PS5Ho8nZPn69ev1rl279LBhw3RJSUmbbbz11lt61qxZurGxUa9atUoff/zxIeudcsop+ssvv2zXpg8//FDfcsst/v2jjz66hZ0PPPCAHjJkiP75z3/uL4uNjdVaa11UVKTXrVuntda6srJSH3nkkfqbb77RWmv9wx/+UL/99tt+u0855ZRW7bj++uv1okWL/PubNm3SWmu9a9cuPW7cuBb1y8rK9NixY/Xu3bu11lrv378/ZLtXXHGFfvHFF1uU33nnnXr+/Plaa623bNmiTz311JDnd+Rv0pqNPjrz7ApCb/Dq+gL9gwX/1bl3val/sOC/3fLdqLXWwFrdge/4Ad2D6qlJwOrqaj777DOefPJJnn/+eX/5ypUrmTZtGueddx5HHXUUc+fOpbGxETB6Gvfffz9Tpkxh1apVIdudNGkSubm5HbLh9ddf5/LLL0cpxQknnEB5eTnFxcWH/Zn+85//+COPb9myhVGjRoVMZHj11VfzwgsvtIj9l5WVxTHHHAMYMfPGjh1LYaHRW1VKUVlZCRjx+NpKOFhcXExOTo5/f+LEiW3a/c9//pPzzz+foUOHAkZ6kc7w7bffctpppwFGOpD8/Hz2798fVGfJkiUUFRUxY8YMZsyYwe7duznyyCM5ePAgjY2NnHzyybz33nvcfffd7Nixg7y8PObNm9cpOwQhHJw7aTCf3X0qux78f3x296m95r3nY0ALVE9NAr722mvMmjWLUaNGkZKSEjS8tmbNGv74xz+yefNmduzYwSuvvAIYuaLGjx/PF198wUknndSl6wMUFhYyZMgQ/35OTo5fEJpz1VVXkZeXx69//Wt0K+/FrVixgunTpwPwzjvvMGvWrJD14uLiuPrqq1u8EBxIfn4+GzZsYMqUKYAxPDZv3jyGDBnCnXfeyYIFC1o99+abb+aaa65hxowZ/Pa3vw1K8e778s/Ly+Pmm28GYNu2bZSVlTF9+nSOPfZYf3r4UPziF79g4sSJ3H777dTV1QFw9NFH+/9Ga9asYffu3RQUBEfouvXWW8nOzmbFihWsWLGCYcOGcddddzF37lz++Mc/ctRRR3HGGWfw4IMPMnLkSDZu3MjChQtbtUMQBIMBLVA9NQn43HPPcfHFFwNw8cUX89xzTYEzjj/+eEaMGIHVauWSSy7h008/BYz0G7Nnz+7SdQMJJTSh0m8sX76czZs388knn/DJJ5+EjPNXVFRESkoKMTExALz77rutChQYX9jPPPOMv1cUSHV1NbNnz2bRokUkJBjxgP/yl7/wyCOPsHfvXh555BGuueaaVtueOXMmO3fu5LrrrmPr1q1MmjQJX1R735f/xo0b/dExPB4P69at46233uLdd9/l17/+Ndu2bWvR7oIFC9i6dStffvklpaWl/P73vwfg7rvvpqysjLy8PB599FEmTZpEVFT7rw9ee+21VFVV8fjjj/PQQw+1W18QhJYMaIHqiUnAQ4cO8eGHH3LttdeSm5vLwoULeeGFF/yC0VwkfPsOhyPkkNnhkpOTw969e/37BQUFIYfOfOkt4uPjufTSS0M6KLzzzjvMnDkTgNraWsrLy9schktKSuLSSy9t4RDQ0NDA7NmzmTNnDueff76//JlnnvHvX3DBBW06SYCRfPHSSy/l2Wef5bjjjuPjjz9utW5OTg6zZs0iNjaWtLQ0pk2bxqZNm1rUy8rKQimF3W7nqquu8tuQkJDA0qVL2bhxI8uWLaOkpCRkQsnm1NbW+nta1dXV7dYXBKElA1qgzp00mAXnT2BwkhMFDE5ysuD8CV0aZ33ppZe4/PLL2b17N/n5+ezdu5fhw4f7e0pr1qxh165dNDY28sILL3TLcF4ozj77bJYtW4bWmtWrV5OYmOjPduvD4/H4vQEbGhp48803QyZCDJx/WrFiBTNmzGj3+nfccQd//etf/ek0tNZcc801jB07ljvuuCOobnZ2Nh999BEAH374IUceeWSr7X744Yd+b7mqqip27Njhn18KxTnnnMMnn3yCx+OhtraWL774ImQ4Id/8nNaa1157zX8fysvL/d6Af//735k2bZq/5xdI81xUd911F3PmzOFXv/oV1113Xcg6giC0Q0c8KSJ16aoXX09wyimn6HfeeSeobPHixXru3Ll6xYoVesaMGfrCCy/UY8eO1TfccIP2er1a6yZvt7ZYvHixHjx4sLZarTorK0tfc801rdZtbGzUN910kx4xYoQeP358kKfe0UcfrbXWurq6Wh9zzDF6woQJ+qijjtK33nprC888j8fjr6+11jfffLNesWJFyGs+8MADeuHChf7922+/XRuPmNaffPKJBvSECRP00UcfrY8++mj91ltv+Y8dc8wxeuLEifr444/Xa9eubfVz/eEPf9Bjx47VEyZM0OPGjdMPPfSQ1rptDznfOePGjdOPPPKIv/zMM8/UhYWFWmutZ8yYocePH6/HjRun58yZo6uqqrTWWn/++ef6iCOO0KNHj9bnnXeeLi0tDXn+kiVL9OjRo/X06dP1ypUr9ZQpU/z38rzzztNPPfWU1lrrSy65RI8bN07feeedLewM97MrCL0FHfTik2CxvcjKlSt56KGHePPNN8NtSof59NNP+cc//sHjjz8OwDHHHMMXX3yBzWYLs2X9j0h+doWBiQSLFSKak046KWgYsrUXfgVB6F/062CxSqmnlFIHlFJfB5TNV0oVKqU2msuPAo7do5T6Xin1nVJqZk/ZFU6mT5/eod7TeeedFxQRIS8vj3fffTdk3aVLl7ao63Ox7sv0188lCH2FSAgW22NDfEqpaUA1sEybKd+VUvOBaq31Q83qHoWRxPB4IBv4ABiltQ6+O81obYhvzJgxIV2qBSFS0VqzdetWGeITIobhd79FKHVQwK4H/1+X2u7oEF+P9aC01h8DHc2Kew7wvNa6Tmu9C/geQ6w6jcPh4NChQ62+cCoIkYbWmkOHDuFwOMJtiiD4iYRgseGYg7pFKXU5sBb4X611GTAYWB1Qp8Asa4FS6nrgeiCke3FOTg4FBQX+lzcFoS/gcDiCQjgJQriZN3N00BwU9H6w2N4WqL8Avwa0uf4jcDVGr7E5IbtAWusngCfAGOJrftxms3XoRUpBEAShdXyOED3hxddRelWgtNb+KJtKqb8BPo+BAmBIQNUcoAhBEAQhbJw7aXCvB4gNpFcjSSilAkMZnAf4PPzeAC5WStmVUsOBI4G2490IgiAI/Zoe60EppZ4DpgNpSqkC4AFgulIqD2P4Lh+4AUBr/Y1S6l/At4AHuLk9Dz5BEAShf9OnI0kopUqA3d3YZBrQdqra8CM2dg9iY/cgNnadSLcPut/GYVrr9PYq9WmB6m6UUms74psfTsTG7kFs7B7Exq4T6fZB+Gwc0NHMBUEQhMhFBEoQBEGISESggnki3AZ0ALGxexAbuwexsetEun0QJhtlDkoQBEGISKQHJQiCIEQkIlCCIAhCRNKvBUopNcvML/W9UuruEMftSqkXzONfKKVyA46FzE/VXpu9YZ9S6odKqXVKqc3m+tSAc1aabfpybmWEycZcpZQrwI7HA8451rT9e6XUEtXF3ChdsHFOgH0blVKN5ovk4biP05RS65VSHqXUj5sdu0Iptd1crggo7+37GNJGpVSeUmqVUuobpdRXSqmLAo49rZTaFXAf88Jho3nMG2DHGwHlw83nYrv5nESHw0al1Ixmz6NbKXWueay37+MdSqlvzb/nf5VSwwKO9crzCNBuTvi+ugBWYAcwAogGNgFHNatzE/C4uX0x8IK5fZRZ3w4MN9uxdqTNXrJvEpBtbo8HCgPOWQlMjoB7mAt83Uq7a4ATMYIEvwOcGQ4bm9WZAOwM433MBSYCy4AfB5SnADvNdbK5nRym+9iajaOAI83tbKAYSDL3nw6sG677aB6rbqXdfwEXm9uPAzeGy8Zmf/dSICZM93FGwLVvpOn/uleeR9/Sn3tQxwPfa613aq3rgecx8k4Fcg7wjLn9EnCaqfqt5afqSJs9bp/WeoPW2hdM9xvAoZSyH6YdPWJjaw0qIx5jgtZ6lTae6mXAuRFg4yUYSTN7gnZt1Frna62/AhqbnTsTeF9rXaqN1DTvA7PCcR9bs1FrvU1rvd3cLgIOAO1GCehNG1vDfA5OxXguwHhOwnIfm/Fj4B2tdW0XbOmKjSsCrr0aI4A39N7zCPTvIb7BwN6A/VA5pvx1tNYeoAJIbePcjrTZG/YFMhvYoLWuCyhbag4D3NfFbnZXbRyulNqglPpIKXVyQP2CdtrsTRt9XERLgerN+9jZc8NxH9tFKXU8xq/yHQHFvzWHih7p4g+prtroUEqtVUqt9g2dYTwH5eZzcThtdreNPi6m5fMYrvt4DUaPqK1zu/t5BPq3QHUkx1RrdTpbfjh0xT7joFLjgN9jBt01maO1ngCcbC4/OUz7umpjMTBUaz0JuAP4p1IqoYNt9paNxkGlpgC1WuuvA4739n3s7LnhuI9tN2D8in4WuEpr7esd3AOMAY7DGBa6K4w2DtVGuJ5LgUVKqZHd0GZzuus+TgDeDSgOy31USl0GTAYWtnNud99HoH8LVEdyTPnrKKWigESMcd/Wzu3OvFVdsQ+lVA7wKnC51tr/a1VrXWiuq4B/YnTnD5fDttEcHj1k2rIO4xf1KLN+YOrYrub+6tJ9NGnxazUM97Gz54bjPraK+ePjLeCXWmt/dmytdbE2qAOWEr776Bt+RGu9E2OOcRJGANQk87nodJvdbaPJhcCrWusGX0E47qNS6nTgF8DZASM0vfU8GnTHpFskLhipRHZiODn4JgLHNatzM8GT5/8yt8cR7CSxE2Nisd02e8m+JLP+7BBtppnbNoxx9blhuofpgNXcHgEUAinm/pfACTRNpv4oHDaa+xaMf64R4byPAXWfpqWTxC6MCelkczss97ENG6OB/wI/C1E3y1wrYBHwYJhsTAbs5nYasB3TMQB4kWAniZvCYWNA+WpgRjjvI4Z478B0funt59F/va42EMkL8CNgm3mjf2GW/QrjFwGAw3w4v8fwQAn8kvqFed53BHijhGqzt+0DfgnUABsDlgwgFlgHfIXhPLEYUyTCYONs04ZNwHrgfwLanIyRrHIH8CfMiCZh+jtPB1Y3ay8c9/E4DKGsAQ4B3wSce7Vp+/cYw2fhuo8hbQQuAxqaPY955rEPgc2mnf8A4sJk4w9MOzaZ62sC2hxhPhffm8+JPYx/61yMH3OWZm329n38ANgf8Pd8o7efR621hDoSBEEQIpP+PAclCIIg9GFEoARBEISIRARKEARBiEhEoARBEISIRARKEARBiEhEoAThMFBKJSmlbgrYz1ZKvdTWOV241rlKqfu7sb2HVEAEfEGIVMTNXBAOA2Wk7HhTaz2+F671Ocb7KQe7qb1hwN+01md0R3uC0FNID0oQDo8HgZFmMNmFysh/9TWAUupKpdRrSql/mzl8bjHz62wwA5WmmPVGKqX+o4ycXp8opcY0v4hSahRQ5xMnpdQFSqmvlVKblFIfm2VW04YvzWCiNwSc/3MzR88mpdSDAFrr3UCqUiqzx++SIHSBqParCIIQgruB8VprX4LD3GbHx2OEi3FgvHF/l9Z6klLqEeByjHA1T2CEUNpuBqz9M0bqh0CmYkTi8HE/MFNrXaiUSjLLrgEqtNbHmVGuP1NKvYcRXPRcYIrWutYnjCbrzbZfPuw7IAg9jAiUIPQMK7QRaLZKKVUB/Nss3wxMVErFYYTfeTEgk0eoFApZQEnA/mfA00qpfwGvmGVnmG36srMmAkcCpwNLtZnXR2sdGCD3AEZyQUGIWESgBKFnCMzP1Riw34jxf2fByEPUXupuF4bgAKC1nmv2tv4f4Ev9rYCfaq0D0zOglJpF6ykPHGbbghCxyByUIBweVUD84Z6sta4EdimlLgAjs6tS6ugQVbcAR/h2lFIjtdZfaK3vx0gVMQQjb9CNSimbWWeUUioWeA+4WikVY5YHDvGNwgjsKQgRiwiUIBwG2sh19ZnpsLCw3RNCMwe4Rim1CSNqevNU9QAfA5MCMvouNJ0evjaPbQL+DnwLrDfL/wpEaa3/A7wBrFVKbQTuBDCF7Ahg7WHaLQi9griZC0KEo5RaDPxba/1BN7V3HnCM1vq+7mhPEHoK6UEJQuTzOyCmG9uLAv7Yje0JQo8gPShBEAQhIpEelCAIghCRiEAJgiAIEYkIlCAIghCRiEAJgiAIEYkIlCAIghCRiEAJgiAIEYkIlCAIghCRiEAJgiAIEYkIlCAIghCRiEAJgiAIEYkIlCAIghCRiEAJgiAIEUmfzqiblpamc3Nzw22GIAiC0AnWrVt3UGud3l69Pi1Qubm5rF0rOdcEQRD6Ekqp3R2pJ0N8giAIQkQiAiUIgiBEJCJQgiAIQkTSp+egBGGg0NDQQEFBAW63O9ymCEKHcTgc5OTkYLPZDut8ESjgtQ2FLHz3O4rKXWQnOZk3czTnThocbrMEwU9BQQHx8fHk5uailAq3OYLQLlprDh06REFBAcOHDz+sNgb8EN9rGwq555XNFJa70EBhuYt7XkGRkR0AACAASURBVNnMaxsKw22aIPhxu92kpqaKOAl9BqUUqampXer1D3iBWvjud7gavEFlrgYvC9/9LkwWCUJoRJyEvkZXn9kBL1BF5a5OlQuCIAi9w4AXqOwkZ6fKBWGgsmTJEsaOHcucOXParBcXFwdAfn4+48eP73G7fNfrah0h8hjwAjVv5micNmtQmdNmZd7M0WGySBAikz//+c+8/fbbLF++PNymCAOEAS9Q504azILzJzA4yYkCBic5WXD+BPHiE4QA5s6dy86dOzn77LN55JFHmD9/Pg899JD/+Pjx48nPz+9QWytXruSUU07hwgsvZNSoUdx9990sX76c448/ngkTJrBjxw4Adu/ezWmnncbEiRM57bTT2LNnDwC7du3ixBNP5LjjjuO+++4LanvhwoUcd9xxTJw4kQceeKB7PrwQNsTNHEOkRJCEPsPPfgYbN3Zvm3l5sGhRq4cff/xx/vOf/7BixQrS0tKYP39+ly63adMmtmzZQkpKCiNGjODaa69lzZo1LF68mEcffZRFixZxyy23cPnll3PFFVfw1FNPceutt/Laa69x2223ceONN3L55Zfz2GOP+dt877332L59O2vWrEFrzdlnn83HH3/MtGnTumSrED4GfA9KEITe57jjjiMrKwu73c7IkSM544wzAJgwYYK/J7Zq1SouvfRSAH7yk5/w6aefAvDZZ59xySWX+Mt9vPfee7z33ntMmjSJY445hq1bt7J9+/Ze/FRCdyM9KEHoa7TR0+ktoqKiaGxs9O939l0Xu93u37ZYLP59i8WCx+MJeU6gy3Io92WtNffccw833HBDp2wRIpew9aCUUlal1Aal1Jvm/nCl1BdKqe1KqReUUtHhsk0QhLbJzc1l/fr1AKxfv55du3Z1+zV+8IMf8PzzzwOwfPlyTjrpJACmTp0aVO5j5syZPPXUU1RXVwNQWFjIgQMHut0uofcI5xDfbcCWgP3fA49orY8EyoBrwmKVIAjtMnv2bEpLS8nLy+Mvf/kLo0aN6vZrLFmyhKVLlzJx4kSeffZZFi9eDMDixYt57LHHOO6446ioqPDXP+OMM7j00ks58cQTmTBhAj/+8Y+pqqrqdruE3kNprXv/okrlAM8AvwXuAP4HKAEytdYepdSJwHyt9cy22pk8ebKWhIXCQGDLli2MHTs23GYIQqcJ9ewqpdZprSe3d264elCLgJ8DvkHsVKBca+0bfC4AxK1OEARhANPrAqWUOgs4oLVeF1gcomrIrp1S6v+zd+fxMV77A8c/JxGRCGJvJEgsIZFlgtiXhBLUVUvV1ipK6abVUnppaXtbWlWltxtt7WvVUlu1vcT2Q2whiD2JbCI7kZBEzu+PmUwnssg+I8779ZqXebYz33ky5jvnPOc55xUhxAkhxInY2NgyiVFRFEUxPmPUoDoDA4QQocB6oAfaGpWtECK7V6EDEJXXwVLKJVLKtlLKtnXr1i2PeBVFURQjKPcEJaV8X0rpIKV0BIYDe6WUo4B9wHO63V4CtpV3bIqiKIrpMKUbdacD7wghrqK9JvWzkeNRFEVRjMioN+pKKf0Bf93z60A7Y8ajKIqimA5TqkEpivIEWL58OW+88cYj94mK+ucy9Pjx47lw4UJZh6aYGDXUEdpp3+fvuURUUhoNbK2Y5tdCDR6rKEa0fPly3NzcaNCgAQA//fSTkSNSjOGJr0FtPR3JtE1niExKQwKRSWlM23SGracjjR2aopicgQMH0qZNG1q1asWSJUsA7WSAM2fOxNPTkw4dOhATEwPA9u3bad++PV5eXjz99NP69dnu3LmDk5MTGRkZANy+fRtHR0d+/fVXTpw4wahRo9BoNKSlpeHj40P2Tfl//PEHrVu3xtPTk549e5bju1fK2xNfg/po+3kyHuS85SrjgeSj7edVLUoxSR9tP8+FqNulWqZrg+rM/lerR+73yy+/UKtWLdLS0vD29mbIkCHcvXuXDh068Omnn/Lee++xdOlSZs2aRZcuXTh69ChCCH766Se++OILFixYoC+rWrVq+Pj4sHPnTgYOHMj69esZMmQIQ4cO5dtvv+XLL7+kbducgw3ExsYyYcIEDhw4gJOTEwkJCaV6HhTT8sQnqMTUjCKtV5Qn2eLFi9myZQsA4eHhXLlyhcqVK9O/f38A2rRpw19//QVAREQEw4YNIzo6mvT0dJycnHKVN378eL744gsGDhzIsmXLWLp0aYGvf/ToUbp166Yvq1atWqX59hQT88QnqGzmDzK5fen/sGzkTiWbmsYOR1HyVZiaTlnw9/fn77//5siRI1hbW+Pj48O9e/ewsLDQT39hbm6uny7jzTff5J133mHAgAH4+/vnOclh586dCQ0NZf/+/Tx48AA3N7cCY5BS5jnVhlIxPfHXoGytLAB48f82Er99PlFLXyHt6nEqmwsS76YXupxZW4No+v4uHGfspOn7u5i1NaisQlYUo0hOTqZmzZpYW1tz8eJFjh49+sj97e21zeQrVqzId7/Ro0czYsQIxo4dq19XrVq1PEci79ixI/v379dP76Ga+Cq2Jz5BzRnQCgszwakmrXnd1o4GGfe59dtH3Fg5jZb9J/D1X5e4ez/vCdSyzdoaxOqjN3igGxn+gZSsPnpDJSmlQunTpw+ZmZl4eHjwwQcf0KFDhwL3nzNnDkOHDqVr167UqVMn3/1GjRpFYmKifpZcgDFjxjBp0iR9J4lsdevWZcmSJQwePBhPT0+GDRtW8jemmCyjTLdRWkprug3DbuZ9b52j8R//5aPoSNKQ1Or7Nk4d+/F6j2aMbN8Iy0rmuY5v+v4ufXIyZC4E1+b2K3F8ilKRp9vYtGkT27ZtY9WqVcYORSkDJZluQ12DAgZ62Rv02HsG5HtM3LiROW++yQuBu1hg15jJb/2XL9w6Mvu1kTzXxoFK5v9UPvNKTgWtVxRF680332T37t3s2rXL2KEoJkglqLwIge2wYXz9/POwdSvfz5zJhuBgLp3awcTg43zT90WmPevNvzwbYG4mMBci3xqUoij5++abb4wdgmLCnvhrUAUSAgYNwvbcOU7Pn8/QajbcCdjMsc+GM6yfD91mrmPn2WiGt3PI8/AR7RuWc8CKoigVh0pQhWFmhufUqWxITCToyy/RmAvSb14l5cxRXl97ipNhiXRzrqM/meZC8EKHRvxnoLtRw1YURXmcqSa+ojAzo9W773JiyhROffklnqvXsCP0LKNirvLA1o6uEz/lnX7u9HZ9CjMz1bynKIpSEqoGVRxmZrR+7z3MA0/TZ/arVL99i3vXT+A/Zygj3/qQnp9sY+fZaLKyCt9JYuvpSDrP24vTjJ10nrdXjQWoKMoTTyWokjAzw3LYMKLS73Pg88/pbAGJe3/Cf84gXnxnDn5f+bMtMJLMB1kFFrP1dCTvbw7KMWDt+5uDVJJSFOWJphJUaRCCru+9x76kJFZMn45d5cp8dP0k4vJlJn6+gq4fbGTj8XDSM/NOVPP3XCIt40GOdWkZD5i/51J5RK8ohbJ48WJcXFwYNWpUgfvZ2NgAEBoa+sihi0pD9usVd5/Q0FCEEDl6FL7xxhssX768wDLnzJmDvb09Go1G/0hKSip03MqjqQRVmoRg9Lx5RN2/z5vrv2P3rd3c2fghx+aNYuK7M+kyeyvLD4dw76FkFJWUlmdx+a1XFGP47rvv2LVrF2vWrDF2KKWuXr16LFq0iPT0wg9vBjBlyhQCAwP1D1tb2zKK8MmkElRZadcO861b+e4/n9Cudi2SDq7i9PyRTBo5kLZTfubbfVdJTtOOmN7A1irPIvJbryg+Pj76X/gZGRn4+PiwevVqAFJTU/Hx8WHDhg2Adkw8Hx8fNm/eDEBcXBw+Pj5s374dgJs3bz7y9SZNmsT169cZMGAACxcuZM6cOXz55Zf67W5uboSGhhYqdn9/f7p3787zzz+Ps7MzM2bMYM2aNbRr1w53d3euXbsGQFhYGD179sTDw4OePXty48YNAEJCQujYsSPe3t588MEHOcqeP38+3t7eeHh4MHv27ELFA9ohlHr27JnnmIFLly7F29sbT09PhgwZQmpqaoFlffXVV4wbNw6AoKAg3NzcSE1NZc6cObz44ov06NGD5s2bP3LkdkUlqDL30vvvczQ2ltO7dtG1fl3u3zhLyrZvmL/nEp3/8ydzdwXzSrcmWFnkHELJysKcaX4tjBS1ouT0ww8/0KBBA/bt28eUKVNKXN6ZM2dYtGgRQUFBrFq1isuXLxMQEMD48eP1TW1vvPEGo0eP5uzZs4waNYrJkycD8NZbb/Hqq69y/PhxnnrqKX2Zf/75J1euXCEgIIDAwEBOnjzJgQMHCh3TjBkzWLBgAQ8e5GzhGDx4MMePH+fMmTO4uLjw888/67ctXLhQ37zn6+sLwNtvv83Vq1fZsmULY8eO5ccff8Ta2hqAs2fPsnPnTo4cOcLHH3+cY1p7JTfVzbycaPr2ZW94OH/8+ivep08TvWUOw9My+PD7W9g9O53O7dtyLT6N2Dv31bTzyiP5+/vrn1tYWORYtra2zrFco0aNHMt16tTJsWz4JV9evL29sbOzA6Bp06b07t0bAHd3d/bt2wfAkSNH9LW+F198kffeew+Aw4cP89tvv+nXT58+HdAmqD///BMvLy8AUlJSuHLlCt26dStUTE5OTrRr1461a9fmWH/u3DlmzZpFUlISKSkp+Pn56bdNmTKFqVOn5tjfzMyM5cuX4+HhwcSJE+ncubN+27PPPouVlRVWVlb4+voSEBDAwIEDCxXfk6jECUoIURNoaFiWlPJUScutqPoMHQpDh1L7ww9p7O1NcFg04cvfZvuBtlTV9GFAv75M7NmSto5qIjbFdFWqVImsrH86/dy7d69Ix1taWuqfm5mZ6ZfNzMz080k9zHAeqLzmhJJS8v777zNx4sQixWLo3//+N88991yOpDZmzBi2bt2Kp6cny5cvz5Hc83PlyhVsbGxy1ZAejlvNbVWwEjXxCSE+Ac4Ci4EFuseXBR6kaFWpws6gIG7evMlHI0diGX6GW5v/w+rpw3nuhyMMXriX3UHRPCjCvVSKUl4cHR05dUr7O/TUqVP6+ZlKU6dOnVi/fj0Aa9asoUuXLoB2kkPD9dn8/Pz45ZdfSElJASAyMpJbt24V6TVbtmyJq6srO3bs0K+7c+cOdnZ2ZGRkFKqDSHJyMm+99RYHDhwgPj6eTZs26bdt27aNe/fuER8fj7+/P97e3kWK70lT0mtQzwNNpZQ+Ukpf3aPHow4SQlQRQgQIIc4IIc4LIT7SrXcSQhwTQlwRQmwQQlQuYXwmr279+ny4Zg0XIyN5tls3pjvU4eP//Uj48QCGjnqJrv/exPLDIY+ck0pRytOQIUNISEhAo9Hw/fff4+zsXOqvsXjxYpYtW4aHhwerVq1i0aJFACxatIhvv/0Wb29vkpOT9fv37t2bkSNH0rFjR9zd3XnuuefynPTwUWbOnElERIR++ZNPPqF9+/b06tWLli1b5tjX8BqURqMhNDSUKVOm8Nprr+Hs7MzPP//MjBkz9ImyXbt2PPPMM3To0IEPPviABg0aFOfUPDFKNB+UEOI34FUpZZF+pghtvbaqlDJFCGEBHALeAt4BNksp1wshfgDOSCm/z6+c0poPyhQYzknlIVKQGz9k+/XLWFhUwartABq06cvoXm0Y3a0Z9qp33xOnIs8H9aSYM2cONjY2ua5ZVXTGnA9qLnBaCHEOuJ+9Uko5oKCDpDYrpugWLXQPCfQARurWrwDmAPkmqIoieySJ7Jt1z0gbLId/xWuZp7n512a2HNnIpSO/Mnt9I5a89BX9WtZjXK9WtG5kq9qwFUWpsEqaoFYAnwNBQMHj+TxECGEOnASaAd8C14AkKWV2W1YEkKsbmxDiFeAVgEaNGhU7cEOGtRdj9KDLaySJ+w8gsGYnDp+axdUrVxjw9NMkxcbyyskdrM30Y+POXXRo04lx/TT087DLc6ZfRVH+ERQUxIsvvphjnaWlJceOHSuX158zZ065vE5FUtIEFSelXFycA6WUDwCNEMIW2ALk1X6Rq/1RSrkEWALaJr7ivLahh2sv2ePgAeWWpB41kkSz5s25EBZGVlYWZmFhdJg1mx5bV/HHLmsO/f08jTU9Gd1Lw6iuzahfvUq5xKwojxt3d3cCAwONHYZSBCVNUCeFEHOB38nZxFfobuZSyiQhhD/QAbAVQlTS1aIcgDK/i62gcfCKkqBKUgtrYGtFZB5J6uGRJMzMzMDJidbffcMrVSw4f+Agh/cv5/bBVby/vjEL+77Ns+3dGe3ngbdjzXJv/jN2TVRRlIqlpAnKS/dvB4N12deS8iWEqAtk6JKTFfA02qbCfcBzwHrgJWBbCeN7pNIYB6+ktTDflnVZffRGnuvzUqNGDX7U3c1+LiiIccOGcTw4mAHB+zlQox5bTm3CtW4tXurrxSDvxlS1LPv7sU2hJqooSsVSom8uKaVvMQ+1A1borkOZARullDuEEBeA9UKI/wCngZ8LKqQ0FLb2UpCS1sL2XYwt0npDbu7uBFy4QEREBA5VqpD68zLqzZrF3qwsAvYO5BPPXgzr1IoX/Dxwrl+tcG+oGEqrJqooipKtRAlKCPFhXuullB8XdJyU8iz/1L4M118H2pUkpqKa5tcixy9/KPo4eCWthZVGLc7BwQGAKtPeZVzEDf5vzx5OH/uNy0c3MW+DHd91HkmPDt0Y6edBH01DqliUbqcKNSK7oiilraQ36t41eDwA+gKOJSyzXA30smfuYHfsba0QgL2tFXMHuxfpV39JRyMvzdHMzczMWPzNN5y4fJmQ0FDGjxhBRlI0jU/8Rkx4DJPXnqD1G0v5z6pDXItNeXSBhaRGZK/41HxQORnOB+Xm5sbvv/+eY7unpycjRox4ZGxK/kraxLfAcFkI8SXaDhOPlYFe9iVqhippLaw0anF5adSoEUvXruWDefOoXrUq1QMCGDR5Gr9fPc9nezQs3vYvurl6MKqvF33bOpaoVlVW70ExHd999x27d+/GycnJ2KGUuuz5oCZOnEjlyoUfwCZ7sNjg4GC6du3KrVu3MDMzIzg4mKysLA4cOMDdu3epWrVqGUZfcZX21XNroEkpl2nyspNbcXuwlfT4R9HfL9a3Ly98lkL0Z58RevUasb99wtbt1uzeqKFJ3zcZ3LIOw/7ljWuDGkV+jbJ+D0pOPj4+udY9//zzvPbaa6SmptKvX79c28eMGcOYMWOIi4vjueeey7HtUQOgGs4HNW7cOJKTk3OMiuDm5saOHTtwdHR8ZOz+/v7Mnj2b+vXrExgYyODBg3F3d2fRokWkpaWxdetWmjZtSlhYGOPGjSM2Npa6deuybNkyGjVqREhICCNHjiQzM5M+ffrkKHv+/Pls3LiR+/fvM2jQID766KNHxgPa+aA6d+7MihUrmDBhQo5tS5cuZcmSJaSnp9OsWTNWrVqlnz4jm4uLC5UqVSIuLo569eqxdu1aXnzxRYKDg/n9999VTaqYSjpYbJAQ4qzucR64BCwqndAeLwO97Dk8owch857h8IweRf5iLunxhTV06FACTp8mMiGezb/9ho2FQF47jk9IIOuupOD79mL6vbeGVXvO6idUNLX3oJQ/NR9U3vNBZTt27BhmZmbUravtebthwwaGDRvGiBEjWLduXZHPj6JV0hpUf4PnmUCMwUgQigmzsLBg0ODBDHj2WaKjo3GoUYML3y+h1YIP2WNuwcG/nmZmK18Gujfn+f7t6ORih5mZGlbJVBRU43l4PqiHPTwflDFUlPmgFi5cyOrVq6lWrRobNmxACMHx48epW7cujRs3xsHBgXHjxpGYmEjNmjWLda6eZCW9BhWm6ypeX1dWAyEEUsrcN/UoJsnc3FzfA9BuwjheuXaZqCtX+Pvg34QH7uZbS2vWHpxEC9cODGlZiyED2tO4zqMvSisVm5oPSiuvCQvXrVvHxYsX9c2dt2/f5rfffmP8+PHFjutJVdImvjeBGOAvYKfusaPAgxSTVbNmTX788Ue2793LzbhYJowfj1nmfV7PCKdp+GXm7dyP14h3GTxtJet3neT2vZxNgFtPR9J53l6cZuyk87y9bD0daaR3opQ1NR9U3rKysvj11185e/YsoaGhhIaGsm3bNtXMV0wlbeJ7C2ghpYwvjWAU01GjRg2WLF3Kt999h4WFBdy+TdPmzly/FcPv+1fy556u2Lp05VkXZ4b0a0OieRVmbT2nRpJ4QgwZMoSVK1ei0Wjw9vYus/mgxo0bx/z58/WdJEA7H9TIkSNZtGgRQ4YM0e/fu3dvgoOD6dixI6DtWr569Wrq1atXpNedOXOmvpkQ/pkPqnHjxri7uxc4x9SBAwewt7fH3v6fz3y3bt24cOEC0dHR+mZNpXBKOh/UPqCXsa47VaT5oB4HISEhbNq0iQsBAWz8fTup6fepZFWdBm+uoUZ6KrXuJhFVvQ7plf5pvrG3teLwjEfOYak8gpoPSnlcGXM+qOuAvxBiJzkHi/2qhOUqJsjJyYlp06YBsCAhgWHPP0/dypUZmxXEytAUNvj/QpXmHXF06Uoty6qE16ivRpJQFKXYSpqgbugelXUP5QlRq1Yt/vr7b/3ylHGfk5F0k4zjWwg6voXKds5YObbGpUUHflnxF/0HdKJeTdO/WVGNyF5xGXs+KKXoStqLr3B3wSkV3n/efIH3ajfjbnI89y/s5+6J30mOvkyyzOTj+s2Yc3wL7cQdhnRqSd8BnbCtavnoQsuZGpG9YlPzQT1+yn4eBuWJoP0C76CtfdSyx7HbQFrePsGS2VOJ2rWPntPe57fYCHbtbke11Z15ulkLBndxoVf/DlS3Mo3KtxqRXVFMi0pQSqnJPabhUACavfQ8L1w+w19//MGNkKvE7ApgrTBj06/NaXRsLt3Nkunv7UTP/h2pZsRkpUZkVxTTUtLRzBVFr6D7oD799FMCTp4kKi6W/fv3U6dWTRqbpfJiUjBBKTBi+js06f8ao9/8L1vX7+VO6v0CXqlsqBHZFcW0FKsGJYT4Bu3MuXmSUk4udkTKY2nr6Uim/XqGjCztxyIyKY1pv54Bcl6/MTMzo1u3bsTGxZGRkYGFhQW9/v6bTt+f4l7IKVb7m/PrdneqfudG71ZtGdShBb0GdsO2hnWer1uaijqzsaIoZau4NagTwMkCHsoTZs7v5/XJKVtGlmTO7+fzPcbCwgKAjk8/zfnz59m7dy9T33wD68QQ4g+uZv/RPUwLfoDXrM0MGvc5q3/Yxq1biWX2Hkoys7GpKatRPbZs2YIQgosXL5ZKeQD//e9/adasGUII4uLiCtxXSsnkyZNp1qwZHh4e+tEsHubj40OLFi3QaDRoNJp8R5TIyMigTZs2+uWJEydy+PDhHPvMmTMHa2vrHGVkzy8VHh6Or68vLi4utGrVikWL/hkrOzAwkA4dOqDRaGjbti0BAQH5vq+YmBj69++Pp6cnrq6u+tHoQ0NDsbKy0r8PjUZDeno6oB2PUaPR0KpVK7p3755nuWPGjMHJyUl/bHYnkcTERAYNGoSHhwft2rXj3LlzeR7/9ddfk5qamm/cAElJSXz33XcF7lNsUsoSP4BqgE1plFWUR5s2baRiGhpP35Hvo6jCwsLk1KlT5c2QEHlm9Vbp6tRKAtKirpO07TxC9hw+W/4wf50MvRJequ/BMZ/4HYvxHkrbhQsXCr3vllMRsuWs3TneQ8tZu+WWUxEljmPo0KGyS5cucvbs2UU+NjMzM8/1p06dkiEhIbJx48YyNja2wDJ27twp+/TpI7OysuSRI0dku3bt8tyve/fu8vjx44+Mae/evfKNN97QL3t6euaKc/bs2bJhw4byvffe06+rWrWqlFLKqKgoefLkSSmllLdv35bNmzeX58+fl1JK2atXL7lr1y593N27d883jldeeUV+/fXX+uUzZ85IKaUMCQmRrVq1yrV/YmKidHFxkWFhYVJKKWNiYvIs96WXXpK//vprrvVTp06Vc+bMkVJKGRwcLHv06JHn8YX5m+QXY7a8PrvACVmI7/iSjsXnJoQ4DZwDLgghTgohWpU4aypPtEaNGjF//nzqOzriMepZ3pj2Ol06d8a9jjXJh9fzv/Uf8eqsl+n67RH8Ji9nwccrOHvkXPaPpWKrKNegCuqNWBIpKSkcPnyYn3/+WT8WHmh/yXfr1o1Bgwbh6urKpEmT9APJ2tjY8OGHH9K+fXuOHDmSZ7leXl6FmkcKYNu2bYwePRohBB06dCApKYno6Ohiv6c//viDvn37AtoRD5ydnTE3zz1x57hx49iwYQMJCQk51tvZ2dG6dWsAqlWrhouLC5GR2tqqEILbt28DkJycTIMGDfKNIzo6Wj9oM4CHh0eBca9du5bBgwfr53or6nBOFy5coGfPnoB2/MHQ0FBiYmJy7LN48WKioqLw9fXF19eXsLAwmjdvTlxcHFlZWXTt2pU///yTGTNmcO3aNTQajf5G/tJS0k4SS4B3pJSNpZSNgHeBpSUPS3nc1LS2KNL6onj11Vc5eOgQJy+cI/pmNF06d6alfQM+tI6lxr0U3v9mNu2GjcC57xu8+9bX7N+8j/v3izaXFeR/relxuwZVVr0Rt27dSp8+fXB2dqZWrVo5mtcCAgJYsGABQUFBXLt2TT9Nxt27d3Fzc+PYsWP6wV5LIjIykoYNG+qXHRwc9AnhYWPHjkWj0fDJJ5/k++Nl3759+skfd+/enWsCxGw2NjaMGzcuRxPew0JDQzl9+jTt27cHtM1j06ZNo2HDhkydOpW5c+fme+zrr7/Oyy+/jK+vL59++ilRUVH6bdlf/hqNhtdffx2Ay5cvk5iYiI+PD23atGHlypX5lj1z5kw8PDyYMmUK9+9rOx95enrq/0YBAQGEhYURERGR47jJkyfr5wDbt28fjRs3Zvr06UyaNIkFCxbg6upK7969mTdvHk2bNiUwMJD5r/jFYAAAIABJREFU8+fnG0dxlDRBVZVS7stekFL6A6Y/XIBS6mb/qxUW5jmnQLAwF8z+V+lWqOvXr8/BQ4e4cO0K4z99jV++GoPF3VuImCtc3fMdX33zLj3HjaSx3wRefesHNn2/mfjogq9rZKso16DKqia4bt06hg8fDsDw4cNzjNDdrl07mjRpgrm5OSNGjODQoUOAdjoXwwFdSyqvRJPX1Btr1qwhKCiIgwcPcvDgQVatWpVrn6ioKGrVqqWfHXfPnj35JijQfmGvWLFCXysylJKSwpAhQ/j666+pXr06AN9//z0LFy4kPDychQsX8vLLL+dbtp+fH9evX2fChAlcvHgRLy8vYmO1n7vsL//AwEC+/fZbADIzMzl58iQ7d+5kz549fPLJJ1y+fDlXuXPnzuXixYscP36chIQEPv/8c0A7OWNiYiIajYZvvvkGLy8vKlV6dJ+58ePHc+fOHX744Qe+/PLLR+5fUiVNUNeFEB8IIRx1j1lA6Y+7r5i8gV72zH/OE3tbKwTaQWLnP+dZ5je42tjYcCclhfjEBI4cOcLo4cN5kHwT24hATmbZ8HbQbRp260/Hfq+z8MMfuXjkDNJgHiNDFeU+qGl+LbCyyNlMZWVhzjS/FoU6PjE1nYvRtzkbkcTF6NskpqYTHx/P3r17GT9+PI6OjsyfP58NGzboE8bDSSJ7uUqVKnk2mRWXg4MD4eHh+uWIiIg8m86yRxOvVq0aI0eOzLODwu7du/WTD6amppKUlFRgM5ytrS0jR47M1SEgIyODIUOGMGrUKAYPHqxfv2LFCv3y0KFDC+wkAdrhw0aOHMmqVavw9vYucDZgBwcH+vTpQ9WqValTpw7dunXjzJkzufazs7NDCIGlpSVjx47Vx1C9enWWLVtGYGAgK1euJDY2FicnpwLjA+15yq5pZU9rUpZKmqDGAXWBzcAW3fOxJQ1KeTwZa8p3MzMzrK2t6dChAyvWriE8PJwTgYc4+tVw+sb/j7Srxzi6+zvenfsWmhEv0bjjUN5+9Qv+t2onacn/TJ1QUa5BDfSyZ+5g9xw/FuYOdi/U3yMxNZ3IxDTSH2iTePqDLCIT01i5dj2jR48mLCyM0NBQwsPDcXJy0teUAgICCAkJISsriw0bNpRKc15eBgwYwMqVK5FScvToUWrUqJFrCovMzEx9b8CMjAx27NiBm5tbrrIMrz/t27cPX1/fR77+O++8w48//qifVFFKycsvv4yLiwvvvPNOjn0bNGjA/v37Adi7dy/NmzfPt9y9e/fqe8vduXOHa9eu6a8v5eXZZ5/l4MGDZGZmkpqayrFjx/Ic7T77+pyUkq1bt+rPQ1JSkr434E8//US3bt30NT9D1apVyzG9yPTp0xk1ahQff/wxEyZMyHOf0lSiBCWlTJRSTpZStpZSekkp35JSFtgPWAjRUAixTwgRLIQ4L4R4S7e+lhDiLyHEFd2/an5kpVgcHBywsbHBzKIS36xYyo4dO9i1axfjhg3DPOYy4QGb2RKXxsvnofn4Bfj2ncSPHy3h1cZmWFXK+V+iKDUPU1LcHwsxyffIeqgZLUtK1q1bz6BBg3KsHzJkiH569I4dOzJjxgzc3NxwcnLKtW9BFi9ejIODAxEREXh4eBQ482y/fv1o0qQJzZo1Y8KECTlqMxqNBoD79+/j5+eHh4cHGo0Ge3t7/ZdptgcPHnDlyhVatmwJFHz9yVCdOnUYNGiQ/lrO4cOHWbVqFXv37tVfJ9q1axcAS5cu5d1338XT05N///vfLFmyJN9yT548Sdu2bfHw8KBjx46MHz8eb2/vfPd3cXGhT58++m7i48eP1yeffv366a9hjRo1Cnd3d9zd3YmLi2PWrFmAtkNIq1ataNmyJbt3785xbc3w+FdeeYW+ffvi6+vL/v37OX78uD5JVa5cmWXLllG7dm06d+6Mm5tbqXeSKOl8UG2BfwOOGNz0K6XMtwuKEMIOsJNSnhJCVEN739RAYAyQIKWcJ4SYAdSUUk4v6PXVfFBKUV27do2dO3cy/qWxnNp9mH9NfIGk2/GISpWxdGhFvXqNcavjiEVNe+40a8mbz3qZxDh85TUf1NmIpHy3eTjY5rne39+fL7/8MscstKbu0KFDrF69mh9++AGA1q1bc+zYMf29eUrpMeZ8UGuAaUAQkHfD/kOklNFAtO75HSFEMGAPPAv46HZbAfgDBSYoRSmqpk2bMnmydqCTLsP7sMpmOUeOHCEmLJJdf/7JjYDThJtb0PDdzVimZPLf2fO54uxA/z6daenjjSjEheTHWWVzM33z3sPrK5IuXbrkaIbM74ZfxbhKWoM6JKUsdmOzEMIROAC4ATeklLYG2xKllLma+YQQrwCvADRq1KhNWFhYcV9eUXLIysriiy++ION+Or6tOvPn/13gk4XaZGZRrwm1GrSgvZ09I7t1oMezPtR1aVpusZVXDSr7GpRhM5+ZENjXtKKmdckG8h00aBAhITn7UH3++ef6jgqGli1blqtLd+fOnfW92B5XFfV9FaQkNaiSJqiewAjgf+ScUXdzIY61AfYDn0opNwshkgqToAypJj6lLCUlJTFjxgxSb9/l5PHTXLweTFZWFlWcWlP/+Y9xjgvF8fZlhvfqSscB3bGqX3b3SwUHB9OyZcs8u1SXtsTUdGKS75H+IIvK5mbUr1GlxMlJeTJJKbl48aLRmvjGAi0BC/5p4pNoe/XlSwhhAfwGrDFIZjFCCDspZbTuOlXeg2cpSjmxtbXVX6MA7d33M2fOokd7H8wexPPT4f38dehXftq6BKt5rWhe257eLi14vq8Pmme6UqlatVKLpUqVKsTHx1O7du0yT1I1rSurhKSUmJSS+Ph4qlSpUuwySpqgPKWU7kU5QGj/d/0MBEspvzLY9DvwEjBP9++2EsamKKXK1dWVLVv++e3l1qUxH38UTxXzKgScOsmZ6yc5cxyWJZvz1LEUWkYG4lZD8Fx/X1x6dcbMuvjd1bN7uWXfvKkoj4MqVarkGMKpqEraxLcUWCilvFCEY7oAB8nZseLfwDFgI9AIuAEMlVIm5FmIjmriU0zJunXrWPbLcsYPnUjg9QS++eU/pMSGYWZVjWoNWtKiZl36e3kwbEAvmj/dCVGCX5aK8jgrr2tQwUBTtKNH3AcEIAvqZl6aVIJSTNnSpUvZtWM3SXG3OXUukNu340EIGr2zmbr3U6h57g86Oj7FyEF9aNGrM8Lq8bohWFGKq7wSVOO81kspy6VrnUpQyuNk0aJFXL18nS6ePfm/yzEs/moSyCxEZSts6jfFwboq/2rtzdih/XF+uhNmpXgNS1FMSbl0kiivRKQoFcFbb72lfz4kM5MWTTK4diWUc2fOc/JsIMHh57gaF82GRn2o9vdWUv9YSPeWrrzQrzddh/hh8VR9I0avKOWvRDUoY1M1KKWiuHfvHtu2bQMsqXSvCut3/cmmjQv12y2q16OGpTUD2vsypk9PvHzaYuPqDOXQ7VxRSlu5NPEZm0pQSkV1//597QgXtxLYs30Pu//ew82bYdh2GUWNziNIveDPXf/ltG7qRm+NJ8MG9cW5d3dQHS+Ux4BKUIpSgUgpuXr1KjXr1OfCicvMnDOLQ/+3B12/JADMK1sz2O9l+rZwws35KTx6dcbSMf8RsRXFWFSCUpQKLi0tjdS0e2za+DuLFy3kashlPEZ/RWythkSvnkZ61GXqPdUE16cc6NCiKSOf+xfu/f3A0rLAcreejmT+nktEJaXRwNaKaX4tTGLAXKXiUAlKUZ5QUbeSGf/iS5w6c5p7WZAcFwEyCxB0mPAjbTISSLxxDC9nR14a/wJ1W3vpr2VtPR3J+5uDSMt4oC/PysK80PNJKUphqASlKAoACcl3mDrlPa5fCaVVp+cJTLfk/xa/BFmZgMDGtj7VK1Wii6s7NZr15IT1UyRUzTm1hr2tFYdn9DDOG1AqnPIai09RFBNXq0Y1fvnle/2ylJI17Sw47H+Eq9fDOX/1ElGhQWwOkth3fJ2qqcnELB5J7Wp1aGzXHIunnLnVvL0R34HypFI1KEVRiItP4PzFEBasDyQ5KoxD2+YhzSsh09P0+zg5aXijzzCa1bMm9kEiz786gWoNGhgxauVxpZr4FEUpMsNrUFlZWVjF3cDs0iFuXjqAnWcv7rUZQnLQXyT88Q0ANarXxd62NnVrVGXWKxPo+cIwhG3eM+8qSjbVxKcoSpFld4TI7sVXx9mFaW8O1K9PTc9k147KfJd2jZR0M0JjorgYdZkLN1II2tkJp0s74Oh6rgYf5GlPb3p2aofPgL606NwZM7PynZVX9UZ8/KkalKIoJXI79R6bNm7nfooZ12JS2fj7CsLP7df2HJT/TB//6rOv08OlGXH3YrCoX4OhkyZRvYxqW6o3omlTTXyKohjNvYwHBJ2/zl/b/2Lz9i1cC7tK3eGfkW5VncilE8lMiASguk1NqltaYl+nNtu++Yb6Hb3BxqbEr9953l4ik9JyrVe9EU2DauJTFMVoqliY461pjremOf/+4DUAHmRJQiIT2FRjJv4HDhFzN52wmEgiQ04TkRhHu7/v0mDLJs4ufwuyMmjXvBVtW7WknpMDPgMH4t2+8D0Jo/JITgWtV0yTqkEpimJUt27fIzDgHNcvR3ExMpnVq7/g9t1kstLTeHAnDoBKla14c8QsWlQz59sdP+Hu3JwXx7yIW9euNGjQINf1LVWDMm2qiU9RlMdWemYWV8NiOXnoBJu2bObm3Uxw78dNM0tuLHwOsh7k2N+lYVOWvTsLJ9fGfP+/PVi5dmZJsCBT/jPau4WZYP5QT3UNygSoJj5FUYpl1tYg1h0L54GUmAvBiPYN+c9A93KNoXIlM1yb1se16TO8+NIz+vWJd9O5NOIiAYdOEBB4njPXr3Al+CgR9d0YFl2X9MDzRC//HIBK5hZUt67BvYz7OLr6YOnzAvfvpREREYG9vT1CTVVi8lSCUhRFb9bWIFYfvaFffiClfrm8k1RealatTIc2zejQppl+nZSSm0mpXDoXQtDpe+yIG8/V+GQS76WSEnON9JtXCBfgfD+dL9/9gOFH1lPLpgaujZ1o5GBHmhnM/Phj2rR95A96pZypJj5FUfSavr+LB3l8J5gLwbW5/YwQUfE4zdipnYREZlH7bhK2aXeoJLOISYjmauAOsipZkpkcQ0ZCJGQ9wKP9YHq3bEPw+b3sOe2PX/tOdOrYDht7e8wsLBgzZgw2pdC7UNFSTXyKohRZXsmpoPWmqoGtlbaThDAj3qYW8Ta1ALB3duXOlv8Qk3yPq8GhXDx3naOnzhJvXoN9letwvcYNsixPsvvMOXb+30F9eef+CKSXeyt+O7aHg+dP8+5bb9HCywsLCwvq1q2Lp6ensd5qhaYSlKIoeuZC5FuDepxM82uR54260/xaIITgKVsrnuroQpeOLoznn2tcSakDuXb931w/f53zl8I4HhxM8I1r/Nn0af6Q1Yi9uY3UuHimzJyZ4/XWTP0Mb01Lvti6lmuxsbw3YwbNmjVDCIGtrS21a9cut/dekagEpSiK3oj2DXNcgzJc/zh5eMimwg51ZGtdmTZujWjj1oihBuszHmRxI+Y215+249rlCM5di+BCZCSXwq+RlBjN+2ZuiCAzovyPkxEXxr79+/XHWlSqxIVVm2js4czEz+dhXrkykydPpkmTJiQnJ1O7dm0sHzGJ5JPKKNeghBC/AP2BW1JKN926WsAGwBEIBZ6XUiYWVI66BqUopc8UevE9Tm7fyyAk9BahwSFcD43hXGgkF2/eIiw5icTwc8j0NOoN+RDzrAfc+GYUmfdS9MeamZlRp4YtYXv3UcW5GcPHjaNly5ZMmDABOzs7oqOjqV+/PpUqVay6hEnfByWE6AakACsNEtQXQIKUcp4QYgZQU0o5vaByVIJSFCU/xh4sVkpJwt10Qq9HE3opjNAbsVyMiOVizC3Cbidz5048aaGnMbO0of6g93nqTjwBP44nS3ePl4V5JTKzHuDRvDmBhw4ha9em3zPP0LdvX0aNGkXNmjUJCQnBwcGhzGpgZXUOTTpBAQghHIEdBgnqEuAjpYwWQtgB/lLKFgWVoRKUoih5MfXBYqWUJKZmEBZ6k7BLYYTdiCUs7i7no6K5nphIQuptMhKjuXfjLJXrOtGk53js4sL4c80/v9mtLC1Ju3+fft26s/OP3SSnp/PMM88wZswYBg0aRNWqVQkODsbZ2ZmqVasWOcayPIePY4JKklLaGmxPlFLWzOO4V4BXABo1atQmLCysfAJWFOWx8bgPdXT3fibh0YmEXQzlRuhNbty6TdjtDC5ERxF19w737sSRkRDJ/ahLWDVpjavXM9hEnuPv3xfoy7C0qMz9jHReGT6cH1es4OzFi4waNYq3334bPz8/KleuTGBgIO3bt6dGjRq5YijLc1hhu5lLKZcAS0BbgzJyOIqimKDHfbDYqpaVaOlYl5aOdXNty8qSxNxO48bVSMKvRRIeGU94wl1uVHbFfeRn3Ey9Q+btWDISIpEx19icUJPzk1eTdcmfc+fOMX78eADMhBlZMouP336bDz77jI3btzNlyhQ++OADOnXqREjwGe7FhGDj0gUzy39qYOV5Dk0pQcUIIewMmvhuGTsgRVEeT/r7oPJY/7gzMxPY2Vpj17Y57ds2z7U9PTOLqPg7RFyNICIkmvDoBCIT7xHu0R2Phu7cTLtL5p14MhIiyYgN4duomuyY+it3j/9GVFQUr776ao7yGqYmY6bxI9GqOghBDSuL8nqrJpWgfgdeAubp/t1m3HAURXlcFXQfVEVXuZIZjvVr4Fi/BnRulWt7emYW0fEpRF7TJrDIm4lEJaYS3vlZbDx7EZmayr2UBN1IGxHEtuhELXMLaqcmE1/VlvK8Jc4oCUoIsQ7wAeoIISKA2WgT00YhxMvADchxG4KiKEqhFfc+qCdB5UpmNK5fncb1XaGTa67tWVmSuDv3eHr271RPu4N1xn3Mk6IJrucEQFJqRrnFapQEJaUckc+mnuUaiKIoFdZAL3uVkIrBzExQr4YV1Z6qS0RS7vEHy7OZ1OzRuyiKoihPmml+LTA3y9meZ24myrWZVCUoRVEUJZcTYQk8yMrZUfpBluREWEK5xaASlKIoipLLumPhRVpfFlSCUhRFUXIxhalXVIJSFEVRcslvipXynHpFJShFURQll/ymWCnPqVdM6UZdRVEUxURkT7FizKlXjDZYbGlQo5kriqI8fgo7WKxq4lMURVFMkkpQiqIoiklSCUpRFEUxSY/1NSghRCxQmjMW1gHiSrG8sqBiLB0qxtKhYiw5U48PSj/GxlLK3JNdPeSxTlClTQhxojAX7oxJxVg6VIylQ8VYcqYeHxgvRtXEpyiKopgklaAURVEUk6QSVE5LjB1AIagYS4eKsXSoGEvO1OMDI8WorkEpiqIoJknVoBRFURSTpBKUoiiKYpIqdIISQvQRQlwSQlwVQszIY7ulEGKDbvsxIYSjwbb3desvCSH8CltmecQnhOglhDgphAjS/dvD4Bh/XZmBukc9I8XoKIRIM4jjB4Nj2uhivyqEWCxEycbvL0GMowziCxRCZAkhNLpt5X0euwkhTgkhMoUQzz207SUhxBXd4yWD9eV9HvOMUQihEUIcEUKcF0KcFUIMM9i2XAgRYnAeNcaIUbftgUEcvxusd9J9Lq7oPieVjRGjEML3oc/jPSHEQN228j6P7wghLuj+nv8TQjQ22FYun0cApJQV8gGYA9eAJkBl4Azg+tA+rwE/6J4PBzbonrvq9rcEnHTlmBemzHKKzwtooHvuBkQaHOMPtDWBc+gInMun3ACgIyCA3UBfY8T40D7uwHUjnkdHwANYCTxnsL4WcF33b03d85pGOo/5xegMNNc9bwBEA7a65eWG+xrrPOq2peRT7kZguO75D8Crxorxob97AmBtpPPoa/Dar/LP/+ty+TxmPypyDaodcFVKeV1KmQ6sB559aJ9ngRW655uAnrqs/yywXkp5X0oZAlzVlVeYMss8PinlaSlllG79eaCKEMKymHGUSYz5FSiEsAOqSymPSO2neiUw0ARiHAGsK0EcJYpRShkqpTwLZD10rB/wl5QyQUqZCPwF9DHGecwvRinlZSnlFd3zKOAW8MhRAsozxvzoPgc90H4uQPs5Mcp5fMhzwG4pZWoJYilJjPsMXvso4KB7Xl6fR6BiN/HZA+EGyxG6dXnuI6XMBJKB2gUcW5gyyyM+Q0OA01LK+wbrlumaAT4oYTW7pDE6CSFOCyH2CyG6Guwf8YgyyzPGbMPInaDK8zwW9VhjnMdHEkK0Q/ur/JrB6k91TUULS/hDqqQxVhFCnBBCHM1uOkP7OUjSfS6KU2Zpx5htOLk/j8Y6jy+jrREVdGxpfx6Bip2g8vpCebhPfX77FHV9cZQkPu1GIVoBnwMTDbaPklK6A111jxeLGV9JY4wGGkkpvYB3gLVCiOqFLLO8YtRuFKI9kCqlPGewvbzPY1GPNcZ5LLgA7a/oVcBYKWV27eB9oCXgjbZZaLoRY2wktcP1jAS+FkI0LYUyH1Za59Ed2GOw2ijnUQjxAtAWmP+IY0v7PAIVO0FFAIZzEzsAUfntI4SoBNRA2+6b37GFKbM84kMI4QBsAUZLKfW/VqWUkbp/7wBr0Vbni6vYMeqaR+N1sZxE+4vaWbe/g8HxJTmHJYrRYHuuX6tGOI9FPdYY5zFfuh8fO4FZUsqj2eullNFS6z6wDOOdx+zmR6SU19FeY/RCOwCqre5zUeQySztGneeBLVLKjOwVxjiPQoingZnAAIMWmvL6PGqVxkU3U3ygnc7+OtpODtkXAls9tM/r5Lx4vlH3vBU5O0lcR3th8ZFlllN8trr9h+RRZh3dcwu07eqTjHQO6wLmuudNgEiglm75ONCBfy6m9jNGjLplM7T/uZoY8zwa7Luc3J0kQtBekK6pe26U81hAjJWB/wFv57Gvne5fAXwNzDNSjDUBS93zOsAVdB0DgF/J2UniNWPEaLD+KOBrzPOINnlfQ9f5pbw/j/rXK2kBpvwA+gGXdSd6pm7dx2h/EQBU0X04r6LtgWL4JTVTd9wlDHqj5FVmeccHzALuAoEGj3pAVeAkcBZt54lF6JKEEWIcoovhDHAK+JdBmW2Bc7oy/4tuRBMj/Z19gKMPlWeM8+iNNlHeBeKB8wbHjtPFfhVt85mxzmOeMQIvABkPfR41um17gSBdnKsBGyPF2EkXxxndvy8blNlE97m4qvucWBrxb+2I9sec2UNllvd5/BuIMfh7/l7en0cppRrqSFEURTFNFfkalKIoivIYUwlKURRFMUkqQSmKoigmSSUoRVEUxSSpBKUoiqKYJJWgFKUYhBC2QojXDJYbCCE2FXRMCV5roBDiw1Is70thMAK+opgq1c1cUYpBaKfs2CGldCuH1/o/tPenxJVSeY2BpVLK3qVRnqKUFVWDUpTimQc01Q0mO19o5786ByCEGCOE2CqE2K6bw+cN3fw6p3UDldbS7ddUCPGH0M7pdVAI0fLhFxFCOAP3s5OTEGKoEOKcEOKMEOKAbp25LobjusFEJxoc/55ujp4zQoh5AFLKMKC2EOKpMj9LilIClR69i6IoeZgBuEkpsyc4dHxouxva4WKqoL3jfrqU0ksIsRAYjXa4miVoh1C6ohuw9ju0Uz8Y6ox2JI5sHwJ+UspIIYStbt3LQLKU0ls3yvVhIcSfaAcXHQi0l1KmZidGnVO6sn8r9hlQlDKmEpSilI19UjvQ7B0hRDKwXbc+CPAQQtigHX7nV4OZPPKaQsEOiDVYPgwsF0JsBDbr1vXWlZk9O2sNoDnwNLBM6ub1kVIaDpB7C+3kgopislSCUpSyYTg/V5bBchba/3dmaOchetTU3WloEw4AUspJutrWM0D21N8CeFNKaTg9A0KIPuQ/5UEVXdmKYrLUNShFKZ47QLXiHiylvA2ECCGGgnZmVyGEZx67BgPNsheEEE2llMeklB+inSqiIdp5g14VQljo9nEWQlQF/gTGCSGsdesNm/ic0Q7sqSgmSyUoRSkGqZ3r6rCuw8L8Rx6Qt1HAy0KIM2hHTX94qnqAA4CXwYy+83WdHs7ptp0BfgIuAKd0638EKkkp/wB+B04IIQKBqQC6RNYMOFHMuBWlXKhu5opi4oQQi4DtUsq/S6m8QUBrKeUHpVGeopQVVYNSFNP3GWBdiuVVAhaUYnmKUiZUDUpRFEUxSaoGpSiKopgklaAURVEUk6QSlKIoimKSVIJSFEVRTJJKUIqiKIpJUglKURRFMUkqQSmKoigmSSUoRVEUxSSpBKUoiqKYJJWgFEVRFJOkEpSiKIpiklSCUhRFUUySSlCKoiiKSXqsp3yvU6eOdHR0NHYYiqIoShGcPHkyTkpZ91H7PdYJytHRkRMn1KSgiqIojxMhRFhh9lNNfIqiKIpJUglKURRFMUkqQSmKoigm6bG+BpWXjIwMIiIiuHfvnrFDUZRCq1KlCg4ODlhYWBg7FEUxGRUuQUVERFCtWjUcHR0RQhg7HEV5JCkl8fHxRERE4OTkZLQ4tp6OZP6eS0QlpdHA1oppfi0Y6GVvtHgUpcI18d27d4/atWur5KQ8NoQQ1K5d26i1/q2nI3l/cxCRSWlIIDIpjfc3B7H1dKTRYlKUCpegAJWclMeOsT+z8/dcIi3jQY51aRkPmL/nkpEiUpQKmqAURSmaqKS0Iq1XlPKgElQZ2bJlC0IILl68WGpl/ve//6VZs2YIIYiLiytwXyklkydPplmzZnh4eHDq1Kk89/Px8aFFixZoNBo0Gg23bt3Kc7+MjAzatGmjX544cSKHDx/Osc+cOXOwtrbOUYaNjQ0A4eHh+Pr64uLiQqtWrVi0aJF+n8DAQDp06IBGo6Ft27YEBATk+75iYmLo378/np6euLq60q9fPwBCQ0OxsrLSvw+NRkN6ejoA/v7+aDQaWrWfF1SPAAAgAElEQVRqRffu3fMsd8yYMTg5OemPDQwMBCAxMZFBgwbh4eFBu3btOHfuXJ7Hf/3116SmpuYbN0BSUhLfffddgfsYSwNbqyKtV5RyIaV8bB9t2rSRD7tw4UKudQXZcipCdpr7P+k4fYfsNPd/csupiCIdn5+hQ4fKLl26yNmzZxf52MzMzDzXnzp1SoaEhMjGjRvL2NjYAsvYuXOn7NOnj8zKypJHjhyR7dq1y3O/7t27y+PHjz8ypr1798o33nhDv+zp6ZkrztmzZ8uGDRvK9957T7+uatWqUkopo6Ki5MmTJ6WUUt6+fVs2b95cnj9/XkopZa9eveSuXbv0cXfv3j3fOF555RX59ddf65fPnDkjpZQyJCREtmrVKtf+iYmJ0sXFRYaFhUkppYyJicmz3Jdeekn++uuvudZPnTpVzpkzR0opZXBwsOzRo0eexxfmb5JfjNmK+tktTVtORciWs3bLxtN36B8tZ+0utf8PimIIOCEL8R3/RNegyurCcEpKCocPH+bnn39m/fr1+vX+/v5069aNQYMG4erqyqRJk8jKygK0NY0PP/yQ9u3bc+TIkTzL9fLyorBjD27bto3Ro0cjhKBDhw4kJSURHR1d7Pf0xx9/0LdvXwCCg4NxdnbG3Nw8137jxo1jw4YNJCQk5FhvZ2dH69atAahWrRouLi5ERmrPsxCC27dvA5CcnEyDBg3yjSM6OhoHBwf9soeHR4Fxr127lsGDB9OoUSMA6tWr96i3msOFCxfo2bMnAC1btiQ0NJSYmJgc+yxevJioqCh8fX3x9fUlLCyM5s2bExcXR1ZWFl27duXPP/9kxowZXLt2DY1Gw7Rp04oUR1kb6GXP3MHu2NtaIQB7WyvmDnZXvfgUo3qiE1RZXRjeunUrffr0wdnZmVq1auVoXgsICGDBggUEBQVx7do1Nm/eDMDdu3dxc3Pj2LFjdOnSpUSvDxAZGUnDhg31yw4ODvqE8LCxY8ei0Wj45JNP0P64yW3fvn34+PgAsHv3bvr06ZPnfjY2NowbNy5HE97DQkNDOX36NO3btwe0zWPTpk2jYcOGTJ06lblz5+Z77Ouvv87LL7+Mr68vn376KVFRUfpt2V/+Go2G119/HYDLly+TmJiIj48Pbdq0YeXKlfmWPXPmTDw8PJgyZQr3798HwNPTU/83CggIICwsjIiIiBzHTZ48mQYNGrBv3z727dtH48aNmT59OpMmTWLBggW4urrSu3dv5s2bR9OmTQkMDGT+/Pn5xmEsA73sOTyjByHznuHwjB4qOSlG90QnqLK6MLxu3TqGDx8OwPDhw1m3bp1+W7t27WjSpAnm5uaMGDGCQ4cOAWBubs6QIUNK9LqG8ko0efUUW7NmDUFBQRw8eJCDBw+yatWqXPtERUVRq1YtrK2tAdizZ0++CQq0X9grVqzQ14oMpaSkMGTIEL7++muqV68OwPfff8/ChQsJDw9n4cKFvPzyy/mW7efnx/Xr15kwYQIXL17Ey8uL2NhYAP2Xf2BgIN9++y0AmZmZnDx5kp07d7Jnzx4++eQTLl++nKvcuXPncvHiRY4fP05CQgKff/45ADNmzCAxMRGNRsM333yDl5cXlSo9+vbB8ePHc+fOHX744Qe+/PLLR+6vKEpuT3SCKosLw/Hx8ezdu5fx48fj6OjI/Pnz2bBhgz5hPJwksperVKmSZ5NZcTk4OBAeHq5fjoiIyLPpzN5e+yu5WrVqjBw5Ms8OCrt378bPzw+A1NRUkpKSCmyGs7W1ZeTIkbk6BGRkZDBkyBBGjRrF4MGD9etXrFihXx46dGiBnSQAatWqxciRI1m1ahXe3t4cOHAg330dHBzo06cPVatWpU6dOnTr1o0zZ87k2s/Ozg4hBJaWlowdO1YfQ/Xq1Vm2bBmBgYGsXLmS2NjYQt1Mm5qaqq9ppaSkPHJ/RVFyK7cEJYT4RQhxSwiRZzcoIUQNIcR2IcQZIcR5IcTYso5pml8LrCxyJgUrC3Om+bUodpmbNm1i9OjRhIWFERoaSnh4OE5OTvqaUkBAACEhIWRlZfH/7d17mFTVme/x72vbCiiKCnMCDXIRBGwuDbYSg1EwGUEzUfAyozKjURCJZjwnRCKJiRozc9RBj5c4DhITrwk6GiWKEuIMoEgU5SogeEWGBh/lqiBIaHjPH7W7rW6qumt312Xv6t/neeqhatXau1at3vTb67LXevLJJ7PSnZfKOeecw6OPPoq78/rrr3PkkUfSsWPHOnmqq6trZwPu3buXmTNn0q9fvwPOlTz+NHfuXIYPH97o50+cOJEHHniA6upqINGiGzt2LH379mXixIl18nbq1ImXX34ZgDlz5tCrV6+0550zZ07tbLkdO3bwwQcf1I4vpXLuuecyf/58qqur2bVrFwsXLqRv374H5KsZn3N3ZsyYUVsP27dvr50N+OCDD3LaaafVtvyStW3blh07dtS+vv766xkzZgy33HILV155Zco8ItKwfLagHgbS9wvBNcDb7j4QGAbcaWaH5LJAuRgYnj59OqNHj66Tdv755/P73/8egFNOOYXJkyfTr18/unfvfkDehtx777107tyZqqoqBgwYwLhx49LmPfvss+nRowc9e/bkyiuvrNOaqaioAGDPnj2MGDGCAQMGUFFRQVlZWe0v0xr79u3jvffeo0+fPkDD40/J2rdvz+jRo2vHchYsWMBjjz3GnDlzaseJXnzxRQB+/etf86Mf/YiBAwfy05/+lGnTpqU97+LFi6msrGTAgAGccsopjBs3jpNOOilt/r59+zJy5MjaaeLjxo2rDT5nn3127RjWmDFj6N+/P/3792fz5s387Gc/AxITQsrLy+nTpw+zZs2qM7aWfPz48eM566yzGD58OC+//DJvvvlmbZA65JBDeOihhzjmmGMYOnQo/fr1i9wkCZEosnSD4jn5MLNuwEx3P+DPdDP7CdCFRKDqBrwEHO/u+9Odr7Ky0utvWLh69eqUfyFHwbx587jjjjuYOXNmoYuSsVdffZXHH3+cqVOnAjB48GAWLlyoRU1zIMrXrkg2mdlid69sLF+UFou9D3gO2Ai0Bf6hoeAk+XHqqafW6YZMd8OviEi2RSlAjQCWAWcAxwEvmdl8d68zFczMxgPjgQbHHqJo2LBhtVO1GzJ69GjWrl1bJ+3222+vnaiQ7KGHHjpgSvfQoUNrZ7HFVbF+LxHJXJS6+F4AbnP3+cHrOcBkd087pStdF1+fPn0KvvimSBjuzpo1a9TFJy1Cpl18UZpm/j/AtwDM7H8BvYEPw56kVatWbNmyJe0NpyJR48F+UK1atSp0UUQiJW9dfGY2ncTsvPZmVgXcBJQCuPtU4JfAw2a2AjDgendveEXUFGpmudXcvCkSBzU76orIV/IWoNz94kbe3wic2dzPKS0tLeiupCIikh1RmiQhEhna/lyk8BSgROqpWeW+ZiHhmlXuAQUpkTxSgBKpp6FV7hWgpBjEpYdAASom4nJBFQNtfy7FLE49BFGaZi5p5GpjRUlN259LMcvVPni5oAAVA3G6oIpBLla5F4mKOPUQKEDFQJwuqGKg7c+lmMWph0ABKgbidEGJSLTFqYdAASoG4nRBFQON+Ukxi1MPgWbxxUDNhaNZfPmhaeZS7EYNKovFtawAFRNxuaCKgcb8RKJBXXwi9WjMTyQaFKBE6tGYn0g0qItPpB6N+YlEgwKUSAoa8xMpPHXxiYhIJClAiYhIJClAiYhIJClAiYhIJClAiYhIJGkWX0jaOFBEJD8UoEKI006UIiJxF6qLz8x6mNnzZrbZzD41sz+aWY8MjvttkH9lA3mGmdkyM1tlZi+HKVe+aONAEZH8CTsG9XvgP4GvAZ2Ap4DpGRz3MDAy3Ztm1g64HzjH3cuBC0OWKy+0iKiISP6E7eIzd38s6fXjZvaDxg5y91fMrFsDWS4BnnH3/wnyfxqyXHnRrk0p23btTZmeaxr7EpGWJmwLaq6ZTTazbmbW1cx+DLxgZkeb2dHNKMfxwFFmNs/MFpvZpekymtl4M1tkZos2bdrUjI8Mzz1cerZoAz0RaYnCtqD+Ifj3qnrpVwAONDoe1UA5TgS+BbQGXjOz19393foZ3X0aMA2gsrIyx6Ghrs92H9h6aig9W7SBnoi0RKEClLt3z1E5qoDN7v4F8IWZvQIMBA4IUIXUqV1rNqQYb8r1PkEa+xKRlijsLL4SMzvHzK41s4k1jyyU44/AN83sYDNrAwwBVmfhvFlVqH2CtIGeiLREYbv4nge+BFYA+zM9yMymA8OA9mZWBdwElAK4+1R3X21mfwLeCs77oLunnZJeKIXaJ2jSiN517r+C+Gygp8kd8aGflUSNeYgRfjN7y90H5LA8oVRWVvqiRYsKXYy8iOMvj/o3NkMisN56Xv/Il72l0c9K8snMFrt7ZWP5wragZpnZme7+5yaWS5oojhvoaXJHfOhnJVEUNkC9DjxrZgcBewED3N2PyHrJJPY0uSM+9LNqWeLSIxP2Pqg7gVOANu5+hLu3VXCSdDS5Iz6ObJ36ZvN06RJfcbqvMmyAeg9Y6WEGrqTFKtSsRwnPLFy6xFec1hQN28X3MTDPzGYBe2oS3f3/ZbVUUhQKNetRwtueYgmvhtIlvuLUnRs2QK0NHocED5EGxXFyR0tUqJvQJf/i9LMOu5LELwDM7LBg1QcJIS4Dk9LyxPleOwknTj/rsCtJnGJmbxOs8mBmA83s/pyUrMjEaWBSWp5Rg8q49bz+lLVrjQFl7VrrHqgiFaefddgbdRcCFwDPufugIG2lu/fLUfkaFKcbdYfeNidls7qsXWsWTD6jACUSESmMXN2oi7uvt7pTe/aly1uMmtpNF6eBSRGRKAg7zXy9mX0DcDM7xMyuI4KLuuZKc7rpdE+QiEg4YQPUBOAaoIzEFhkVwNXZLlRUNef+gUkjelN6UN2bSkoPskgOTErLNGPpBobeNofuk19g6G1zND4qBRe2i6+3u49JTjCzocCC7BUpuprdTVf/pkfdBCkRUX+x2JreASCSg+fSMoRtQf0qw7Si1Jxuuimz32HvvroTUvbu80jevS0tT5xWF5CWI6MWlJmdAnwD6FBvg8IjgJLURxWf5tw/0NzWl+6hklzSJB6Joky7+A4BDg/yt01K/5zEtPMWoTlL9zTn7m11v0iuxWl1AWk5MgpQ7v4y8LKZPezu63Jcpkhr6tI9zWl9aa8eybU4rS5Qn3oXilfYpY5adHBqjua0vtT9IrkW14V91btQ3ELfqCtN19TWl7pf8q8l/lUex4V91btQ3MLO4pMC0L5K+aV1E+NDvQvFLVQLysxaAWOBcqBVTbq7X5HlckmSuHa/xJX+Ko8P9S4Ut7BdfI8Ba4ARwC3AGFrQUkeFFMful7jSX+XxMbxPBx5//X9Spkv8he3i6+nuPwe+cPdHgO8A/TM50Mx+a2afmtnKRvKdZGb7zKzFTF8vZnFcPkfrJsbH3DWbQqVLvIQNUDX7P283s37AkUC3DI99GBjZUAYzKwFuB2aHLJdE0IylG5j09PI6YzmTnl4e+SClMb/4UGu3uIUNUNPM7Cjg58BzwNvAv2VyoLu/AmxtJNs/A38APg1ZLomgXzy/KuXyTr94flWBSpSZOG3o1tKptVvcwt4H9WDw9GWgRzYLYmZlwGjgDOCkBvKNB8YDHHvssdksgmTZtl17Q6VHicb84iHONxhL48LO4jsUOJ9Et17tse5+SxbKcjdwvbvvq7chYh3uPg2YBokddbPwuSISU5rhWtzCzuL7I/AZsBjYk+WyVAJPBMGpPXC2mVW7+4wsf46IFBG1dotX2ADV2d0bnOjQVO7evea5mT0MzFRwirej2pSm7M47qk1pAUojxaolrvrRUoSdJPEXM8toWnl9ZjYdeA3obWZVZjbWzCaY2YSmnE+i76bvllNaUm8X4RLjpu+WF6hEUmy06kdxC9uCOhX4npmtJdHFZ4C7+4DGDnT3izP9EHf/XshySQRpfEByTat+FLewAeqsnJRCipbGBySXdB9UcdN2GyISW1qLr7hpNXMRiS2t+lHctB+UiMSWxjmLmwKUiMSaxjmLl7r4REQkkhSgREQkkhSgREQkkhSgREQkkhSgREQkkjSLL4+0qKWISOYUoPKkZlHLmnXDaha1BBSkRERSUBdfnjS0qKWIiBxIASpPtKiliEg4ClB5km7xSi1qKSKSmgJUnmhRSxGRcDRJIk+0qKWISDgKUCE1Z6q4FrUUkSiIyy0vClAhaKq4iMRdnH6PaQwqBE0VF5G4i9PvMQWoEDRVXETiLk6/xxSgQtBUcRGJuzj9HstLgDKz35rZp2a2Ms37Y8zsreDxFzMbmI9yhaWp4iISd3H6PZavFtTDwMgG3l8LnO7uA4BfAtPyUaiwRg0q49bz+lPWrjUGlLVrza3n9Y/cwKKISDpx+j1m7p6fDzLrBsx0936N5DsKWOnujdZWZWWlL1q0KDsFFBGRvDCzxe5e2Vi+KI5BjQVmpXvTzMab2SIzW7Rp06Y8FktERPIpUgHKzIaTCFDXp8vj7tPcvdLdKzt06JC/womISF5F5kZdMxsAPAic5e5bCl0eEREprEi0oMzsWOAZ4J/c/d1Cl0dERAovLy0oM5sODAPam1kVcBNQCuDuU4EbgWOA+80MoDqTATQRESleeQlQ7n5xI++PA8bloywiIhIPkejiExERqS8ykyRERCQ/tN2GiIhEjrbbEBGRSNJ2GyIiEknabkNERCJJ222IiEgkxWm7DU2SEBFpQWomQmgWn4iIRM6oQWWRDEj1qYtPREQiSQFKREQiSQFKREQiSQFKREQiSQFKREQiydy90GVoMjPbBKwr0Me3BzYX6LPjSPUVnuosHNVXeIWqs67u3qGxTLEOUIVkZou0qWLmVF/hqc7CUX2FF/U6UxefiIhEkgKUiIhEkgJU000rdAFiRvUVnuosHNVXeJGuM41BiYhIJKkFJSIikaQAVY+ZjTSzd8zsfTObnOL9Q83syeD9hWbWLem9nwTp75jZiHyWu5CaWmdm1s3MdpvZsuAxNd9lL4QM6us0M1tiZtVmdkG99y4zs/eCx2X5K3VhNbPO9iVdY8/lr9SFk0F9TTSzt83sLTP7bzPrmvRedK4xd9cjeAAlwAdAD+AQYDlwQr08VwNTg+cXAU8Gz08I8h8KdA/OU1Lo7xTxOusGrCz0d4hgfXUDBgCPAhckpR8NfBj8e1Tw/KhCf6co11nw3s5Cf4cI1tdwoE3w/PtJ/ycjdY2pBVXXycD77v6hu/8VeAI4t16ec4FHgudPA98yMwvSn3D3Pe6+Fng/OF+xa06dtUSN1pe7f+TubwH76x07AnjJ3be6+zbgJWBkPgpdYM2ps5Yok/qa6+67gpevA52D55G6xhSg6ioD1ie9rgrSUuZx92rgM+CYDI8tRs2pM4DuZrbUzF42s2/murAR0JzrRNdYQtjv3crMFpnZ62Y2KrtFi6Sw9TUWmNXEY3NKGxbWleqv+vrTHNPlyeTYYtScOvsYONbdt5jZicAMMyt398+zXcgIac51omvsK2G+97HuvtHMegBzzGyFu3+QpbJFUcb1ZWb/CFQCp4c9Nh/UgqqrCuiS9LozsDFdHjM7GDgS2JrhscWoyXUWdIduAXD3xST6zY/PeYkLqznXia6xhFDf2903Bv9+CMwDBmWzcBGUUX2Z2beBG4Bz3H1PmGPzRQGqrjeBXmbW3cwOITGgX3/Wz3NAzcyWC4A5nhhdfA64KJix1h3oBbyRp3IXUpPrzMw6mFkJQPDXbS8Sg7LFLJP6Smc2cKaZHWVmRwFnBmnFrsl1FtTVocHz9sBQ4O2clTQaGq0vMxsEPEAiOH2a9Fa0rrFCzziJ2gM4G3iXxF/zNwRpt5D4QQK0Ap4iMQniDaBH0rE3BMe9A5xV6O8S9ToDzgdWkZhltAT4bqG/S0Tq6yQSf8l+AWwBViUde0VQj+8Dlxf6u0S9zoBvACuCa2wFMLbQ3yUi9fVfwCfAsuDxXBSvMa0kISIikaQuPhERiSQFKBERiSQFKBERiSQFKBERiSQFKBERiSQFKBERiSQFKJEmMLN2ZnZ10utOZvZ0jj5rlJndmMXz3WFmZ2TrfCK5ovugRJog2NNqprv3y8Nn/YXEDZabs3S+rsCv3f3MbJxPJFfUghJpmtuA44JN8KYEmy+uBDCz75nZDDN73szWmtkPgg3ilgYrah8d5DvOzP5kZovNbL6Z9an/IWZ2PLCnJjiZ2YVmttLMlpvZK0FaSVCGN4MN6K5KOv7HZrYiyH8bgLuvA44xs6/lvJZEmkGrmYs0zWSgn7tXQG2LKlk/EouStiKxZMz17j7IzO4CLgXuBqYBE9z9PTMbAtwP1O96G0piGagaNwIj3H2DmbUL0sYCn7n7ScG6cwvM7M9AH2AUMMTdd9UExsCS4Nx/aHINiOSYApRIbsx19x3ADjP7DHg+SF8BDDCzw0msE/dU0t6Nh6Y4T0dgU9LrBcDDZvafwDNB2pnBOWu2Oj+SxMK73wYe8mBjOnffmnSeT4FOzfh+IjmnACWSG3uSnu9Per2fxP+7g4DtNS2wBuwmEXAAcPcJQWvrO8AyM6sgsYfPP7t7nVWnzWwk6ffyaRWcWySyNAYl0jQ7gLZNPdgTmzKuNbMLASxhYIqsq4GeNS/M7Dh3X+juNwKbSezdMxv4vpmVBnmON7PDgD8DV5hZmyA9uYvveGBlU8svkg8KUCJN4ImNFhcEExamNPE0Y4CxZracxLYj56bI8wowyL7qB5wSTHpYGby3HHiQxB5HS4L0B4CD3f1PJPYBWmRmy4DrAIJA1hNY1MRyi+SFppmLRJyZ3QM87+7/laXzjQYGu/vPs3E+kVxRC0ok+v4v0CaL5zsYuDOL5xPJCbWgREQkktSCEhGRSFKAEhGRSFKAEhGRSFKAEhGRSFKAEhGRSFKAEhGRSFKAEhGRSFKAEhGRSFKAEhGRSFKAEhGRSFKAEhGRSFKAEhGRSIr1jrrt27f3bt26FboYIiISwuLFize7e4fG8sU6QHXr1o1Fi7TnmohInJjZukzy5aWLz8xamdkbZrbczFaZ2S9S5DnUzJ40s/fNbKGZdctH2UREJJryNQa1BzjD3QcCFcBIM/t6vTxjgW3u3hO4C7g9T2UTEZEIyksXnyd2RdwZvCwNHvV3SjwXuDl4/jRwn5mZa0dFkbyYsXQDU2a/w8btu+nUrjWTRvRm1KCyQhdLWrC8jUGZWQmwGOgJ/Lu7L6yXpQxYD+Du1Wb2GXAMsDnM5+zdu5eqqiq+/PLLLJRaJD9atWpF586dKS0tLcjnz1i6gZ88s4Lde/cBsGH7bn7yzAoABSkpmLwFKHffB1SYWTvgWTPr5+4rk7JYqsPqJ5jZeGA8wLHHHnvAAVVVVbRt25Zu3bphluqUItHi7mzZsoWqqiq6d+9ekDJMmf1ObXCqsXvvPqbMfkcBSgom7/dBuft2YB4wst5bVUAXADM7GDgS2Jri+GnuXunulR06HDhL8csvv+SYY45RcJLYMDOOOeaYgrb6N27fHSpdJB/yNYuvQ9BywsxaA98G1tTL9hxwWfD8AmBOU8efFJwkbgp9zXZq1zpUukg+5KsF1RGYa2ZvAW8CL7n7TDO7xczOCfL8BjjGzN4HJgKT81Q2kRZv0ojetC4tqZPWurSESSN6F6hEIvmbxfcWMChF+o1Jz78ELsxHeUSkrppxJs3ikyhp8WvxzVi6gaG3zaH75BcYetscZizdkJXzPvvss5gZa9bU78lsuvvuu4+ePXtiZmze3PDkRnfn2muvpWfPngwYMIAlS5akzDds2DB69+5NRUUFFRUVfPrppynz7d27lxNPPLH29VVXXcWCBQvq5Ln55ptp06ZNnXMcfvjhAKxfv57hw4fTt29fysvLueeee2rzLFu2jK9//etUVFRQWVnJG2+8kfZ7ffLJJ/zd3/0dAwcO5IQTTuDss88G4KOPPqJ169a136OiooK//vWvAMybN4+KigrKy8s5/fTTU573e9/7Ht27d689dtmyZQBs27aN0aNHM2DAAE4++WRWrlyZ8vi7776bXbt2pS03wPbt27n//vsbzFNIowaVsWDyGay97TssmHyGgpMUnrvH9nHiiSd6fW+//fYBaek8u6TK+/xslne9fmbto8/PZvmzS6oyPkc6F154oZ966ql+0003hT62uro6ZfqSJUt87dq13rVrV9+0aVOD53jhhRd85MiRvn//fn/ttdf85JNPTpnv9NNP9zfffLPRMs2ZM8d/8IMf1L4eOHDgAeW86aabvEuXLv7jH/+4Nu2www5zd/eNGzf64sWL3d39888/9169evmqVavc3f1v//Zv/cUXX6wt9+mnn562HOPHj/e777679vXy5cvd3X3t2rVeXl5+QP5t27Z53759fd26de7u/sknn6Q872WXXeZPPfXUAenXXXed33zzze7uvnr1aj/jjDNSHp/JzyRdGWuEuXZF4gxY5Bn8jm/RLaiGptY2x86dO1mwYAG/+c1veOKJJ2rT582bx2mnncbo0aM54YQTmDBhAvv37wcSLY0bb7yRIUOG8Nprr6U876BBg8h0cdw//vGPXHrppZgZX//619m+fTsff/xxk7/Tn/70J8466ywAVq9ezfHHH09JSckB+a644gqefPJJtm6tOwGzY8eODB48GIC2bdvSt29fNmxItFbNjM8//xyAzz77jE6dOqUtx8cff0znzp1rXw8YMKDBcv/+97/nvPPOq70l4W/+5m8a+6p1vP3223zrW98CoE+fPnz00Ud88skndfLce++9bNy4keHDhzN8+HDWrVtHr1692Lx5M/v37+eb3/wmf/7zn5k8eTIffPABFRUVTJo0KVQ5RFqiFh2gcjW1dsaMGYwcOZLjjz+eo48+uk732htvvMGdd97JihUr+OCDD3jmmWcA+OKLL/OnhH4AABdNSURBVOjXrx8LFy7k1FNPbdbnA2zYsIEuXbrUvu7cuXNtQKjv8ssvp6Kigl/+8pd4momTc+fOZdiwYQDMmjWLkSPr3yWQcPjhh3PFFVfU6cKr76OPPmLp0qUMGTIESHSPTZo0iS5dunDddddx6623pj32mmuuYezYsQwfPpx//dd/ZePGjbXv1fzyr6io4JprrgHg3XffZdu2bQwbNowTTzyRRx99NO25b7jhBgYMGMAPf/hD9uzZA8DAgQNrf0ZvvPEG69ato6qqqs5x1157LZ06dWLu3LnMnTuXrl27cv311zNhwgTuvPNOTjjhBM4880xuu+02jjvuOJYtW8aUKVPSlkNEElp0gMrV1Nrp06dz0UUXAXDRRRcxffr02vdOPvlkevToQUlJCRdffDGvvvoqACUlJZx//vnN+txkqQJNqqnMv/vd71ixYgXz589n/vz5PPbYYwfk2bhxI0cffTRt2rQBYPbs2WkDFCR+YT/yyCO1raJkO3fu5Pzzz+fuu+/miCOOAOA//uM/uOuuu1i/fj133XUXY8eOTXvuESNG8OGHH3LllVeyZs0aBg0axKZNmwBqf/kvW7aMf//3fwegurqaxYsX88ILLzB79mx++ctf8u677x5w3ltvvZU1a9bw5ptvsnXrVm6/PbEU5OTJk9m2bRsVFRX86le/YtCgQRx8cONzi8aNG8eOHTuYOnUqd9xxR6P5ReRALTpA5WJq7ZYtW5gzZw7jxo2jW7duTJkyhSeffLI2YNQPEjWvW7VqlbLLrKk6d+7M+vXra19XVVWl7DorK0sMhLdt25ZLLrkk5QSFWbNmMWLECAB27drF9u3bG+yGa9euHZdccskBEwL27t3L+eefz5gxYzjvvPNq0x955JHa1xdeeGGDkyQAjj76aC655BIee+wxTjrpJF555ZW0eTt37szIkSM57LDDaN++PaeddhrLly8/IF/Hjh0xMw499FAuv/zy2jIcccQRPPTQQyxbtoxHH32UTZs2ZbTaw65du2pbWjt37mwkt4ik0qID1KhBZdx6Xn/K2rXGgLJ2rbn1vP7Nmr309NNPc+mll7Ju3To++ugj1q9fT/fu3WtbSm+88QZr165l//79PPnkk1npzkvlnHPO4dFHH8Xdef311znyyCPp2LFjnTzV1dW1swH37t3LzJkz6dev3wHnSh5/mjt3LsOHD2/08ydOnMgDDzxAdXU1kGjRjR07lr59+zJx4sQ6eTt16sTLL78MwJw5c+jVq1fa886ZM6d2ttyOHTv44IMPUi55VePcc89l/vz5VFdXs2vXLhYuXEjfvn0PyFczPufuzJgxo7Yetm/fXjsb8MEHH+S0006rbfkla9u2LTt27Kh9ff311zNmzBhuueUWrrzyypR5RKQRmcykiOqjubP4cuH000/3WbNm1Um75557fMKECT537lwfPny4//3f/7337dvXr7rqKt+3b5+7fzXbrSH33HOPl5WVeUlJiXfs2NHHjh2bNu/+/fv96quv9h49eni/fv3qzNQbOHCgu7vv3LnTBw8e7P379/cTTjjBr7322gNm5lVXV9fmd3e/5pprfO7cuSk/86abbvIpU6bUvv7hD3/oiUvMff78+Q54//79feDAgT5w4EB/4YUXat8bPHiwDxgwwE8++WRftGhR2u/1b//2b963b1/v37+/l5eX+x133OHuDc+QqzmmvLzc77rrrtr0s846yzds2ODu7sOHD/d+/fp5eXm5jxkzxnfs2OHu7n/5y1+8Z8+e3rt3bx89erRv3bo15fH33nuv9+7d24cNG+bz5s3zIUOG1Nbl6NGj/be//a27u1988cVeXl7u11133QHlLPS1K5IvZDiLzzzGu1lUVlZ6/R11V69enfIv5CiYN28ed9xxBzNnzix0UTL26quv8vjjjzN16lQABg8ezMKFCwu26nYxi/K1K5JNZrbY3SsbyxfrLd8l90499dQ63ZDpbvgVEck2Bag8GjZsWO1U7YaMHj2atWvX1km7/fbbaycqJHvooYcOmNI9dOjQ2llscVWs30tEMleUXXx9+vQp+OrQImG4O2vWrFEXn7QImXbxFd0svlatWrFly5a0N5yKRI0HGxa2atWq0EURiZSi6+Lr3LkzVVVVtTdvisRBzZbvIvKVogtQpaWlBds2W0REsqfouvhERKQ4KECJiEgkKUCJiEgkKUCJiEgkKUCJiEgkKUCJiEgkKUCJiEgkKUCJiEgkKUCJiEgk5SVAmVkXM5trZqvNbJWZ/e8UeYaZ2Wdmtix43JiPsomISDTla6mjauBH7r7EzNoCi83sJXd/u16++e7+d3kqk4iIRFheWlDu/rG7Lwme7wBWA2X5+GwREYmnvI9BmVk3YBCwMMXbp5jZcjObZWblaY4fb2aLzGyRViwXESleeQ1QZnY48Afg/7j75/XeXgJ0dfeBwK+AGanO4e7T3L3S3Ss7dOiQ2wKLiEjB5C1AmVkpieD0O3d/pv777v65u+8Mnr8IlJpZ+3yVT0REoiVfs/gM+A2w2t3/X5o8XwvyYWYnB2Xbko/yiYhI9ORrFt9Q4J+AFWa2LEj7KXAsgLtPBS4Avm9m1cBu4CLXvu0iIi1WXgKUu78KWCN57gPuy0d5REQk+kJ18ZlZDzN73sw2m9mnZvZHM+uRq8KJiEjLFXYM6vfAfwJfAzoBTwHTs10oERGRsAHK3P0xd68OHo8DGicSEZGsCzsGNdfMJgNPkAhM/wC8YGZHA7j71iyXT0REWqiwAeofgn+vqpd+BYmApfEoERHJilAByt2756ogIiIiyUIFKDMrAb4DdEs+Nt3NtyIiIk0VtovveeBLYAWwP/vFERERSQgboDq7+4CclERERCRJ2Gnms8zszJyUREREJEnYFtTrwLNmdhCwl8TyRe7uR2S9ZCIi0qKFDVB3AqcAK7SQq4iI5FLYLr73gJUKTiIikmthW1AfA/PMbBawpyZR08xFRCTbwgaotcHjkOAhIiKSE2FXkvgFgJkd5u5f5KZIIiIi4feDOsXM3gZWB68Hmtn9OSmZiIi0aGEnSdwNjAC2ALj7cuC0bBdKREQkbIDC3dfXS9qXpbKIiIjUCjtJYr2ZfQNwMzsEuJagu09ERCSbwragJgDXAGVAFVABXJ3tQomIiIRtQfV29zHJCWY2FFiQvSKJiIiEb0H9KsM0ERGRZsmoBWVmpwDfADqY2cSkt44ASnJRMBERadkybUEdAhxOIqC1TXp8DlzQ2MFm1sXM5prZajNbZWb/O0UeM7N7zex9M3vLzAZn/jVERKTYZNSCcveXgZfN7GF3X9eEz6kGfuTuS8ysLbDYzF5y97eT8pwF9AoeQ4D/CP4VEZEWKNQYVBODE+7+sbsvCZ7vIDE1vaxetnOBRz3hdaCdmXVsyueJiEj8hb5Rt7nMrBswCFhY760yIPkm4CoODGKY2XgzW2RmizZt2pSrYoqISIHlNUCZ2eHAH4D/4+6f1387xSEH7Dvl7tPcvdLdKzt06JCLYoqISARkOovvV6QIFjXc/doMzlFKIjj9zt2fSZGlCuiS9LozsDGT8omISPHJ9EbdRc35EDMz4DfA6gY2N3wO+IGZPUFicsRn7v5xcz5XRETiK9NZfI8kvw5m4rm778zwc4YC/wSsMLNlQdpPgWOD808FXgTOBt4HdgGXZ3huEREpQqGWOjKzfsBjwNGJl7YJuNTdVzV0nLu/SuoxpuQ8TmKdPxERkdCTJKYBE929q7sfC/wI+HX2iyUiIi1d2AB1mLvPrXnh7vOAw7JaIhEREcKvZv6hmf2cRDcfwD8Ca7NbJBERkfAtqCuADsAzwLPBc01mEBGRrAvVgnL3bSR20RUREcmpsLP4KklMD++WfKy7D8husUREpKULOwb1O2ASsALYn/3iiIiIJIQNUJvc/bmclERERCRJ2AB1k5k9CPw3sKcmMc3aeiIiIk0WNkBdDvQBSvmqi89JzOoTKRozlm5gyux32Lh9N53atWbSiN6MGnTA7i8ikkNhA9RAd++fk5KIRMSMpRuY9NRy9u5PLOC/YftuJj21HEBBSiSPwgao183shHpbtYukFceWyM3PraoNTjX27ndufm5V5MveHHH8WUlxCxugTgUuM7O1JMagjMQ6r5pmnoGfzVjB9IXr2edOiRkXD+nCv4wq3gbpjKUb+MkzK9i9dx+QaIn85JkVQLRbItt37w2VXgzi+rOS4hY2QI3MSSlagJ/NWMHjr/9P7et97rWvizVITZn9Tu0vvBq79+5jyux39EsvYvSzkigKu5LEulwVpNhNX7g+bXqxBqiN23eHSo+Ko9qUsm3Xga2lo9qUFqA0+RHXnxWoa7KYhV2Lr8WbsXQDQ2+bQ/fJLzD0tjnMWLoho+P2uYdKLwad2rUOlR4VN323nNKSutuXlZYYN323vEAlyr24/qxquiY3bN+N81XXZKb/LyXaFKBCaM5/hhJLvV9juvRiMGlEb1qXltRJa11awqQRvQtUosyMGlTGlAsGUtauNQaUtWvNlAsGFvVf5XH9WTXUNSnxF3YMqkVrTj/9xUO61BmDSk4vVjV1Esful1GDymJRzmyJ688qzl2ThRSXblEFqBA2pLno06Unqxlnakmz+CRe4hiUO7VrnfL/X9S7JgtpxtINTHp6OXv3Jd3n93Q07/NTgAqhxCzlmFGm3XT/Mqp/kwNSXP7iSaapy5Jrk0b0rnONQTy6JgvpF8+vqg1ONfbuc37xfPTu81OACqG5Ex2aGmTi+oteU5cl1+LaNVlIqWaoNpReSApQIRxksD9FLDoogwZUc4JMXH/Ra3xA8iGOXZOSGc3iCyFVcGooPVlzZhvF9Rd9uzT3DaVLF5Hca9c6zf/LNOmFlJcAZWa/NbNPzWxlmveHmdlnZrYseNyYj3LlU3OCTFzvUUnX81nEt36JRN7N55RTWq/bp/Qg4+ZzonefX75aUA/T+DJJ8929InjckocyhdacvzyaE2SG9+kQKj0qPkuzdl26dBHJvVGDyphyYb37/C6M5n1+eRmDcvdXzKxbPj4rl24+p7zONgyQ+V8ezZltNHfNplDpUaEpwCLRFJdxuyiNQZ1iZsvNbJaZRa+tSfP+8hg1qIxbz+tf59hbz+uf0bHNuf+qkCaN6J1yySBNARaRTERlFt8SoKu77zSzs4EZQK9UGc1sPDAe4Nhjj81fCQPN+cujqcc29/6rgqpfbI0/iUiGItGCcvfP3X1n8PxFoNTM2qfJO83dK929skOHaI/BZEtcF5qdMvudlBv/aZ00kcJq6qLX+RaJFpSZfQ34xN3dzE4mETi3FLhYkVGWZiynLOJjOXGdHg/xXLlDJBNxuvE/X9PMpwOvAb3NrMrMxprZBDObEGS5AFhpZsuBe4GL3CPePMijuK40Hdfp8drCIV7i0hqIijitAJ+vWXwXN/L+fcB9+ShLHMV1OZe4rpMW15U7WqI4tQaiIk6TriLRxSeNi8u00GRxDaxx7ppsafTHRHhxmnSlACU5FcfAqvu34kN/TIQXp0lXkZjFJxIlcR3za4niOs5ZSOkmV0Vx0pUClEg9zbmpWvJLf0yEF6c6UxefSApx7JpsieI6zllIcaozi/Ns7srKSl+0aFGhiyEiIiGY2WJ3r2wsn7r4REQkktTFJyKxplU/ipcClIjElm7ULW7q4hOR2IrTsj0SnlpQIgLEs6tMN+oWN7WgRCS2C+TqRt3ipgAlIrHtKovTTacSnrr4RCRWK1wni9NNpxKeApSIxGqF6/q06kfxUhefiMRqhWtpORSgRCRWK1xLy6EAJSKabCCRpDEoEdFkA4kkBSgRATTZQKJHXXwiIhJJClAiIhJJClAiIhJJsd5R18w2AesK9PHtgc0F+uw4Un2FpzoLR/UVXqHqrKu7d2gsU6wDVCGZ2aJMtiyWBNVXeKqzcFRf4UW9ztTFJyIikaQAJSIikaQA1XTTCl2AmFF9hac6C0f1FV6k60xjUCIiEklqQYmISCQpQImISCQpQNVjZiPN7B0ze9/MJqd4/1AzezJ4f6GZdUt67ydB+jtmNiKf5S6kptaZmXUzs91mtix4TM132Qshg/o6zcyWmFm1mV1Q773LzOy94HFZ/kpdWM2ss31J19hz+St14WRQXxPN7G0ze8vM/tvMuia9F51rzN31CB5ACfAB0AM4BFgOnFAvz9XA1OD5RcCTwfMTgvyHAt2D85QU+jtFvM66ASsL/R0iWF/dgAHAo8AFSelHAx8G/x4VPD+q0N8pynUWvLez0N8hgvU1HGgTPP9+0v/JSF1jakHVdTLwvrt/6O5/BZ4Azq2X51zgkeD508C3zMyC9CfcfY+7rwXeD85X7JpTZy1Ro/Xl7h+5+1vA/nrHjgBecvet7r4NeAkYmY9CF1hz6qwlyqS+5rr7ruDl60Dn4HmkrjEFqLrKgPVJr6uCtJR53L0a+Aw4JsNji1Fz6gygu5ktNbOXzeybuS5sBDTnOtE1lhD2e7cys0Vm9rqZjcpu0SIpbH2NBWY18dic0n5QdaX6q77+PPx0eTI5thg1p84+Bo519y1mdiIww8zK3f3zbBcyQppznega+0qY732su280sx7AHDNb4e4fZKlsUZRxfZnZPwKVwOlhj80HtaDqqgK6JL3uDGxMl8fMDgaOBLZmeGwxanKdBd2hWwDcfTGJfvPjc17iwmrOdaJrLCHU93b3jcG/HwLzgEHZLFwEZVRfZvZt4AbgHHffE+bYfFGAqutNoJeZdTezQ0gM6Nef9fMcUDOz5QJgjidGF58DLgpmrHUHegFv5KnchdTkOjOzDmZWAhD8dduLxKBsMcukvtKZDZxpZkeZ2VHAmUFasWtynQV1dWjwvD0wFHg7ZyWNhkbry8wGAQ+QCE6fJr0VrWus0DNOovYAzgbeJfHX/A1B2i0kfpAArYCnSEyCeAPokXTsDcFx7wBnFfq7RL3OgPOBVSRmGS0Bvlvo7xKR+jqJxF+yXwBbgFVJx14R1OP7wOWF/i5RrzPgG8CK4BpbAYwt9HeJSH39F/AJsCx4PBfFa0xLHYmISCSpi09ERCJJAUpERCJJAUpERCJJAUpERCJJAUpERCJJAUqkCcysnZldnfS6k5k9naPPGmVmN2bxfHeY2RnZOp9IrmiauUgTBFuGzHT3fnn4rL+QuH9lc5bO1xX4tbufmY3zieSKWlAiTXMbcFywx9CUYG+rlQBm9j0zm2Fmz5vZWjP7QbD/ztJgwdKjg3zHmdmfzGyxmc03sz71P8TMjgf21AQnM7vQzFaa2XIzeyVIKwnK8Gawv89VScf/2MxWBPlvA3D3dcAxZva1nNeSSDNosViRppkM9HP3CqhtUSXrR2LNt1Yk7si/3t0HmdldwKXA3cA0YIK7v2dmQ4D7gfpdb0NJrLJR40ZghLtvMLN2QdpY4DN3PylY1meBmf0Z6AOMAoa4+66awBhYEpz7D02uAZEcU4ASyY257r4D2GFmnwHPB+krgAFmdjiJZXieStoa69AU5+kIbEp6vQB42Mz+E3gmSDszOGfNTrJHkljX8NvAQx7s++PuW5PO8ynQqRnfTyTnFKBEcmNP0vP9Sa/3k/h/dxCwvaYF1oDdJAIOAO4+IWhtfQdYZmYVJLZI+Gd3r7Oop5mNJP1WCa2Cc4tElsagRJpmB9C2qQd7Ys+rtWZ2IYAlDEyRdTXQs+aFmR3n7gvd/UZgM4mtEWYD3zez0iDP8WZ2GPBn4AozaxOkJ3fxHQ+sbGr5RfJBAUqkCTyxj9WCYMLClCaeZgww1syWk1jV/dwUeV4BBtlX/YBTgkkPK4P3lgMPkthCYkmQ/gBwsLv/icQ2C4vMbBlwHUAQyHoCi5pYbpG80DRzkYgzs3uA5939v7J0vtHAYHf/eTbOJ5IrakGJRN//Bdpk8XwHA3dm8XwiOaEWlIiIRJJaUCIiEkkKUCIiEkkKUCIiEkkKUCIiEkkKUCIiEkn/HwY6iGQTo4o6AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 8 $$$ 8 $$$ 8 $$$ 8 $$$ 8 $$$ 8 $$$ 8 $$$ 8 $$$ 8 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.42335135135e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.488 +/- 0.044 uk (2.98216164291 %)\n",
      "mean Na temp = 1.423 +/- 0.024 uk\n",
      "111111    1.75606756757e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.75606756757e-06 *******\n",
      "init mol temp = 1.62538095238 (4.07936574542 %)\n",
      "mean mol temp = 1.75606756757 (4.4641454962 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 344.044942931E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 190.20956563k\n",
      "TOTAL Na num = 190.20956563k\n",
      "\n",
      "init mol temp/init Na temp = 1.14193937487\n",
      "init mol temp = 1.62538095238e-06 uk\n",
      "init na temp = 1.42335135135e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.8744306251\n",
      "\n",
      "init na num = 287.367198564 at 1.42335135135 uk\n",
      "init Na density = 4.68753946483e+11 cm^-3 (7.16431619369 %)\n",
      "\n",
      "init overlap density = 3.58156397243e+11 cm^-3 (9.47685939794 %) (34.3338151688 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.764060548033\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 35.816693014 at 1.62538095238 uk\n",
      "init molecule density = 3.37379101615e+11 cm^-3 (9.09413784804 %)\n",
      "two-body rate coefficient = 2.54864153121e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0738884096571\n",
      "loss rate coefficient = 6.63805671913e-12 (12.0168978886 %) (35.1198780588 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 3.26835821056\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0510040325545\n",
      "\n",
      "loss rate from EXP fit = 2.88656753556\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.54864153121e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0692122955545\n",
      "loss rate coefficient = 7.42673746819e-12 (9.63495912731 %) (34.3777898851 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.54864153121e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0744111249815\n",
      "loss rate coefficient = 6.95107923774e-12 (10.0149475304 %) (34.4862171604 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 9 $$$ 9 $$$ 9 $$$ 9 $$$ 9 $$$ 9 $$$ 9 $$$ 9 $$$ 9 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.40012e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.478 +/- 0.038 uk (2.59956951437 %)\n",
      "mean Na temp = 1.4 +/- 0.022 uk\n",
      "111111    1.77054666667e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.77054666667e-06 *******\n",
      "init mol temp = 1.69166666667 (1.6385381461 %)\n",
      "mean mol temp = 1.77054666667 (4.21712037539 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 300.181700616E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 160.22599986k\n",
      "TOTAL Na num = 160.22599986k\n",
      "\n",
      "init mol temp/init Na temp = 1.20822977078\n",
      "init mol temp = 1.69166666667e-06 uk\n",
      "init na temp = 1.40012e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.78682653013\n",
      "\n",
      "init na num = 242.068250167 at 1.40012 uk\n",
      "init Na density = 4.04730433111e+11 cm^-3 (6.91427478612 %)\n",
      "\n",
      "init overlap density = 3.01598817498e+11 cm^-3 (9.33603453727 %) (34.295211632 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.74518443098\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 38.5033367215 at 1.69166666667 uk\n",
      "init molecule density = 3.41579360742e+11 cm^-3 (6.83206763364 %)\n",
      "two-body rate coefficient = 2.65257933367e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.110117445706\n",
      "loss rate coefficient = 5.07925214861e-12 (14.4367606951 %) (36.019717647 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 2.31731748328\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.055809546649\n",
      "\n",
      "loss rate from EXP fit = 2.11437551113\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.65257933367e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.110666898906\n",
      "loss rate coefficient = 5.40486024825e-12 (12.943148405 %) (35.4474976639 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.65257933367e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.114408661185\n",
      "loss rate coefficient = 5.2959375858e-12 (13.2644970896 %) (35.5660917594 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 10 $$$ 10 $$$ 10 $$$ 10 $$$ 10 $$$ 10 $$$ 10 $$$ 10 $$$ 10 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.5669e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.406 +/- 0.087 uk (6.15502390706 %)\n",
      "mean Na temp = 1.567 +/- 0.041 uk\n",
      "111111    1.65783333333e-06\n",
      "222222       [10]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.65783333333e-06 *******\n",
      "init mol temp = 1.6095 (3.02096728888 %)\n",
      "mean mol temp = 1.65783333333 (3.182905653 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 309.605393147E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 166.18558598k\n",
      "TOTAL Na num = 166.18558598k\n",
      "\n",
      "init mol temp/init Na temp = 1.02718744017\n",
      "init mol temp = 1.6095e-06 uk\n",
      "init na temp = 1.5669e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.59514533273\n",
      "\n",
      "init na num = 251.0719486 at 1.5669 uk\n",
      "init Na density = 3.54578331674e+11 cm^-3 (7.71077177281 %)\n",
      "\n",
      "init overlap density = 2.83194803485e+11 cm^-3 (9.31440977442 %) (34.2893311315 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.798680511997\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 36.1516108485 at 1.6095 uk\n",
      "init molecule density = 3.45586384543e+11 cm^-3 (8.89755029882 %)\n",
      "two-body rate coefficient = 2.52373976604e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0963278245242\n",
      "loss rate coefficient = 8.91903923154e-12 (13.3995793673 %) (35.6166916939 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 3.15706876582\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0587363075878\n",
      "\n",
      "loss rate from EXP fit = 3.10973080665\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.52373976604e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0972932852446\n",
      "loss rate coefficient = 9.46663459432e-12 (11.729038379 %) (35.0224262623 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.52373976604e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.100316033085\n",
      "loss rate coefficient = 9.29029417112e-12 (11.980967102 %) (35.1075999279 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 11 $$$ 11 $$$ 11 $$$ 11 $$$ 11 $$$ 11 $$$ 11 $$$ 11 $$$ 11 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.5376969697e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.524 +/- 0.045 uk (2.97494083444 %)\n",
      "mean Na temp = 1.538 +/- 0.024 uk\n",
      "111111    2.07013131313e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.07013131313e-06 *******\n",
      "init mol temp = 2.05094444444 (9.95761913328 %)\n",
      "mean mol temp = 2.07013131313 (5.86679113153 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 298.345854467E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 163.722611628k\n",
      "TOTAL Na num = 163.722611628k\n",
      "\n",
      "init mol temp/init Na temp = 1.33377673551\n",
      "init mol temp = 2.05094444444e-06 uk\n",
      "init na temp = 1.5376969697e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.33516601339\n",
      "\n",
      "init na num = 247.350905247 at 1.5376969697 uk\n",
      "init Na density = 3.59321568076e+11 cm^-3 (6.98528527297 %)\n",
      "\n",
      "init overlap density = 2.55655681083e+11 cm^-3 (10.8064038847 %) (34.7243195026 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.711495506521\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 38.2747462323 at 2.05094444444 uk\n",
      "init molecule density = 2.54358887682e+11 cm^-3 (16.3266806575 %)\n",
      "two-body rate coefficient = 3.21593665883e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.11313392629\n",
      "loss rate coefficient = 1.19722184555e-11 (15.645165953 %) (36.5208326534 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 4.12513979653\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.084721100056\n",
      "\n",
      "loss rate from EXP fit = 3.53369979757\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.21593665883e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.107141422942\n",
      "loss rate coefficient = 1.33228902672e-11 (13.7259953555 %) (35.7407743131 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.21593665883e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.114655438149\n",
      "loss rate coefficient = 1.27673248524e-11 (14.320223405 %) (35.9731677556 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 12 $$$ 12 $$$ 12 $$$ 12 $$$ 12 $$$ 12 $$$ 12 $$$ 12 $$$ 12 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.41854545455e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.363 +/- 0.016 uk (1.14283004918 %)\n",
      "mean Na temp = 1.419 +/- 0.03 uk\n",
      "111111    1.83030701754e-06\n",
      "222222       [ 7 18 20]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.83030701754e-06 *******\n",
      "init mol temp = 1.627625 (4.30250361599 %)\n",
      "mean mol temp = 1.83030701754 (6.25199611875 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 409.316618955E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 210.096205696k\n",
      "TOTAL Na num = 210.096205696k\n",
      "\n",
      "init mol temp/init Na temp = 1.14739009228\n",
      "init mol temp = 1.627625e-06 uk\n",
      "init na temp = 1.41854545455e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.66037623046\n",
      "\n",
      "init na num = 317.411786626 at 1.41854545455 uk\n",
      "init Na density = 5.20396161873e+11 cm^-3 (7.65266464622 %)\n",
      "\n",
      "init overlap density = 3.96790898168e+11 cm^-3 (9.78621844043 %) (34.4204891215 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.762478525475\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 34.9261755811 at 1.627625 uk\n",
      "init molecule density = 3.28310631874e+11 cm^-3 (9.58862153172 %)\n",
      "two-body rate coefficient = 2.5521602589e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.120895690015\n",
      "loss rate coefficient = 1.23519295223e-11 (15.55402681 %) (36.4818824899 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 5.51164788049\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0909352224235\n",
      "\n",
      "loss rate from EXP fit = 5.40127213665\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.5521602589e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.120406308564\n",
      "loss rate coefficient = 1.25769963874e-11 (13.8731807559 %) (35.7975577978 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.5521602589e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.123876536239\n",
      "loss rate coefficient = 1.29024844058e-11 (14.1754123457 %) (35.9157669439 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 13 $$$ 13 $$$ 13 $$$ 13 $$$ 13 $$$ 13 $$$ 13 $$$ 13 $$$ 13 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.48406521739e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.509 +/- 0.083 uk (5.49955504656 %)\n",
      "mean Na temp = 1.484 +/- 0.023 uk\n",
      "111111    1.82495925926e-06\n",
      "222222       [35]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.82495925926e-06 *******\n",
      "init mol temp = 1.61191666667 (2.79301756218 %)\n",
      "mean mol temp = 1.82495925926 (4.24353712532 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 281.377119654E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 146.84458588k\n",
      "TOTAL Na num = 146.84458588k\n",
      "\n",
      "init mol temp/init Na temp = 1.08614948169\n",
      "init mol temp = 1.61191666667e-06 uk\n",
      "init na temp = 1.48406521739e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.24254444647\n",
      "\n",
      "init na num = 221.851709345 at 1.48406521739 uk\n",
      "init Na density = 3.39906304201e+11 cm^-3 (6.63698128898 %)\n",
      "\n",
      "init overlap density = 2.65321628029e+11 cm^-3 (8.875541391 %) (34.1727264786 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.780572836542\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 46.4797324553 at 1.61191666667 uk\n",
      "init molecule density = 4.43317813672e+11 cm^-3 (8.21126833016 %)\n",
      "two-body rate coefficient = 2.52752916509e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0616157641211\n",
      "loss rate coefficient = 5.80527927076e-11 (10.8046406171 %) (34.7237708042 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 17.4439637229\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0471063870823\n",
      "\n",
      "loss rate from EXP fit = 16.0672682115\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.52752916509e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0604708280868\n",
      "loss rate coefficient = 6.03683657424e-11 (8.74774450693 %) (34.1397573799 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.52752916509e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0631794901019\n",
      "loss rate coefficient = 6.34917553309e-11 (8.93713058866 %) (34.1887745197 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.558\n",
      "\n",
      " $$$ 14 $$$ 14 $$$ 14 $$$ 14 $$$ 14 $$$ 14 $$$ 14 $$$ 14 $$$ 14 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.23554166667e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.257 +/- 0.057 uk (4.51693444939 %)\n",
      "mean Na temp = 1.236 +/- 0.034 uk\n",
      "111111    1.518875e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.518875e-06 *******\n",
      "init mol temp = 1.5196 (3.11198113337 %)\n",
      "mean mol temp = 1.518875 (2.5772634659 %)\n",
      "\n",
      " --- lattice factor: 1308.18279511 for Na num 443.819837343E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 262.564023399k\n",
      "TOTAL Na num = 262.564023399k\n",
      "\n",
      "init mol temp/init Na temp = 1.22990591171\n",
      "init mol temp = 1.5196e-06 uk\n",
      "init na temp = 1.23554166667e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.68842010025\n",
      "\n",
      "init na num = 359.693497392 at 1.23554166667 uk\n",
      "init Na density = 7.25474935813e+11 cm^-3 (7.7723679776 %)\n",
      "\n",
      "init overlap density = 5.36256710318e+11 cm^-3 (9.80987778216 %) (34.4272232703 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.739180202989\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 18.9532199469 at 1.5196 uk\n",
      "init molecule density = 1.97494277871e+11 cm^-3 (9.23200770607 %)\n",
      "two-body rate coefficient = 2.38277412145e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.111691001574\n",
      "loss rate coefficient = 1.2590759723e-11 (14.8654801613 %) (36.1936803935 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 7.16715535966\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0780498074645\n",
      "\n",
      "loss rate from EXP fit = 7.08835553973\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.38277412145e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.11161081216\n",
      "loss rate coefficient = 1.32565246362e-11 (13.3321656151 %) (35.5913843505 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.38277412145e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.112963746132\n",
      "loss rate coefficient = 1.27746995653e-11 (13.4456307208 %) (35.6340425082 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 15 $$$ 15 $$$ 15 $$$ 15 $$$ 15 $$$ 15 $$$ 15 $$$ 15 $$$ 15 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.2933e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.335 +/- 0.045 uk (3.38910341127 %)\n",
      "mean Na temp = 1.293 +/- 0.027 uk\n",
      "111111    1.787125e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.787125e-06 *******\n",
      "init mol temp = 1.54988888889 (5.81269177391 %)\n",
      "mean mol temp = 1.787125 (6.71352610658 %)\n",
      "\n",
      " --- lattice factor: 1266.84887278 for Na num 547.169593808E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 312.987621896k\n",
      "TOTAL Na num = 312.987621896k\n",
      "\n",
      "init mol temp/init Na temp = 1.19839858416\n",
      "init mol temp = 1.54988888889e-06 uk\n",
      "init na temp = 1.2933e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.51539990857\n",
      "\n",
      "init na num = 442.759770886 at 1.2933 uk\n",
      "init Na density = 8.33863871239e+11 cm^-3 (7.25274693119 %)\n",
      "\n",
      "init overlap density = 6.23675547365e+11 cm^-3 (9.78388548764 %) (34.4198259036 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.747934487722\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 13.0851479721 at 1.54988888889 uk\n",
      "init molecule density = 1.32371116749e+11 cm^-3 (14.0029011151 %)\n",
      "two-body rate coefficient = 2.43026792285e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.163685286035\n",
      "loss rate coefficient = 1.96360289113e-11 (19.0696917615 %) (38.1136870937 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 12.6318337416\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.130025537202\n",
      "\n",
      "loss rate from EXP fit = 12.4679347831\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.43026792285e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.163651992602\n",
      "loss rate coefficient = 2.01288837054e-11 (17.907198655 %) (37.5455425273 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.43026792285e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.164805095747\n",
      "loss rate coefficient = 1.98108537001e-11 (18.0126403585 %) (37.5959467587 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 16 $$$ 16 $$$ 16 $$$ 16 $$$ 16 $$$ 16 $$$ 16 $$$ 16 $$$ 16 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.2541e-06\n",
      "222222       [19]\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.29 +/- 0.024 uk (1.89681476121 %)\n",
      "mean Na temp = 1.254 +/- 0.028 uk\n",
      "111111    1.55976344086e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.55976344086e-06 *******\n",
      "init mol temp = 1.46369444444 (5.13894844341 %)\n",
      "mean mol temp = 1.55976344086 (3.259284992 %)\n",
      "\n",
      " --- lattice factor: 1306.67804279 for Na num 447.582262429E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 262.67689896k\n",
      "TOTAL Na num = 262.67689896k\n",
      "\n",
      "init mol temp/init Na temp = 1.16712737776\n",
      "init mol temp = 1.46369444444e-06 uk\n",
      "init na temp = 1.2541e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.527282333\n",
      "\n",
      "init na num = 360.262524768 at 1.2541 uk\n",
      "init Na density = 7.10553456518e+11 cm^-3 (7.45812593425 %)\n",
      "\n",
      "init overlap density = 5.37743569247e+11 cm^-3 (9.73437922086 %) (34.4057864147 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.756795374527\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 18.1614172058 at 1.46369444444 uk\n",
      "init molecule density = 2.00188691276e+11 cm^-3 (11.867587968 %)\n",
      "two-body rate coefficient = 2.29511269014e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.144297957865\n",
      "loss rate coefficient = 5.93548284745e-12 (17.4062386878 %) (37.3092099254 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 3.35214222962\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0987232961718\n",
      "\n",
      "loss rate from EXP fit = 3.54709681593\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.29511269014e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.144621751527\n",
      "loss rate coefficient = 6.20649179371e-12 (16.116808033 %) (36.7253522947 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.29511269014e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.14583041255\n",
      "loss rate coefficient = 6.00227016757e-12 (16.2253531016 %) (36.7731163117 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 17 $$$ 17 $$$ 17 $$$ 17 $$$ 17 $$$ 17 $$$ 17 $$$ 17 $$$ 17 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.2542e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.281 +/- 0.046 uk (3.61599698837 %)\n",
      "mean Na temp = 1.254 +/- 0.028 uk\n",
      "111111    1.65822e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.65822e-06 *******\n",
      "init mol temp = 1.59886666667 (4.83252535358 %)\n",
      "mean mol temp = 1.65822 (3.43260349565 %)\n",
      "\n",
      " --- lattice factor: 1302.69057395 for Na num 457.552376817E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 263.818726115k\n",
      "TOTAL Na num = 263.818726115k\n",
      "\n",
      "init mol temp/init Na temp = 1.27480997183\n",
      "init mol temp = 1.59886666667e-06 uk\n",
      "init na temp = 1.2542e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.63488757909\n",
      "\n",
      "init na num = 362.936084311 at 1.2542 uk\n",
      "init Na density = 7.15740965163e+11 cm^-3 (7.36334376053 %)\n",
      "\n",
      "init overlap density = 5.20340369411e+11 cm^-3 (9.92435582939 %) (34.460017972 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.726995372261\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 20.8234047113 at 1.59886666667 uk\n",
      "init molecule density = 2.0104756115e+11 cm^-3 (10.6626013284 %)\n",
      "two-body rate coefficient = 2.50706641023e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.092618928351\n",
      "loss rate coefficient = 7.8960006855e-12 (13.5748111411 %) (35.6829861071 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 4.5894560992\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0620111444706\n",
      "\n",
      "loss rate from EXP fit = 4.45200533007\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.50706641023e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0925885103242\n",
      "loss rate coefficient = 8.11793722194e-12 (11.8748221102 %) (35.071518361 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.50706641023e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0938198647571\n",
      "loss rate coefficient = 8.03060276467e-12 (11.971079648 %) (35.1042269241 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 18 $$$ 18 $$$ 18 $$$ 18 $$$ 18 $$$ 18 $$$ 18 $$$ 18 $$$ 18 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.298e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.246 +/- 0.103 uk (8.23087412836 %)\n",
      "mean Na temp = 1.298 +/- 0.033 uk\n",
      "111111    1.71712222222e-06\n",
      "222222       [ 2 10 11 12]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.71712222222e-06 *******\n",
      "init mol temp = 1.67144722222 (3.26818443054 %)\n",
      "mean mol temp = 1.71712222222 (4.59887336013 %)\n",
      "\n",
      " --- lattice factor: 1287.63546364 for Na num 495.195598076E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 278.615907255k\n",
      "TOTAL Na num = 278.615907255k\n",
      "\n",
      "init mol temp/init Na temp = 1.28770972436\n",
      "init mol temp = 1.67144722222e-06 uk\n",
      "init na temp = 1.298e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.79392958505\n",
      "\n",
      "init na num = 387.774083463 at 1.298 uk\n",
      "init Na density = 7.26344514916e+11 cm^-3 (7.517079659 %)\n",
      "\n",
      "init overlap density = 5.25551494882e+11 cm^-3 (9.84709025049 %) (34.4378452636 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.72355677518\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 12.7949708698 at 1.67144722222 uk\n",
      "init molecule density = 1.15575489531e+11 cm^-3 (11.4575674316 %)\n",
      "two-body rate coefficient = 2.62087469497e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.11611871246\n",
      "loss rate coefficient = 1.87921997762e-11 (15.2250037844 %) (36.3428224033 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 10.1099813957\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0892184662653\n",
      "\n",
      "loss rate from EXP fit = 10.0723589671\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.62087469497e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.116027519194\n",
      "loss rate coefficient = 1.89155968325e-11 (13.7550592741 %) (35.7519461797 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.62087469497e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.116984523268\n",
      "loss rate coefficient = 1.90130930135e-11 (13.835880542 %) (35.7831187905 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 19 $$$ 19 $$$ 19 $$$ 19 $$$ 19 $$$ 19 $$$ 19 $$$ 19 $$$ 19 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.29681818182e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.351 +/- 0.076 uk (5.65266708869 %)\n",
      "mean Na temp = 1.297 +/- 0.031 uk\n",
      "111111    1.53071666667e-06\n",
      "222222       [4]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.53071666667e-06 *******\n",
      "init mol temp = 1.76416666667 (12.5923125417 %)\n",
      "mean mol temp = 1.53071666667 (7.45416555836 %)\n",
      "\n",
      " --- lattice factor: 1278.09847486 for Na num 519.041519583E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 295.803630336k\n",
      "TOTAL Na num = 295.803630336k\n",
      "\n",
      "init mol temp/init Na temp = 1.36038088562\n",
      "init mol temp = 1.76416666667e-06 uk\n",
      "init na temp = 1.29681818182e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.12394868388\n",
      "\n",
      "init na num = 414.767753258 at 1.29681818182 uk\n",
      "init Na density = 7.77968956947e+11 cm^-3 (7.4206500547 %)\n",
      "\n",
      "init overlap density = 5.48220556307e+11 cm^-3 (11.6327619953 %) (34.9903008223 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.704681788922\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 12.3550234777 at 1.76416666667 uk\n",
      "init molecule density = 1.02919957672e+11 cm^-3 (19.8539750275 %)\n",
      "two-body rate coefficient = 2.76626130512e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.112209980917\n",
      "loss rate coefficient = 2.82612299949e-11 (16.1626714937 %) (36.7455024433 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 15.8960520716\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0797962078055\n",
      "\n",
      "loss rate from EXP fit = 15.6773024444\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.76626130512e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.111649977881\n",
      "loss rate coefficient = 2.87656197807e-11 (14.7540883662 %) (36.1480721964 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.76626130512e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.112764477888\n",
      "loss rate coefficient = 2.85621610225e-11 (14.8386058187 %) (36.1826508515 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 20 $$$ 20 $$$ 20 $$$ 20 $$$ 20 $$$ 20 $$$ 20 $$$ 20 $$$ 20 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.32415e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.407 +/- 0.095 uk (6.71613524852 %)\n",
      "mean Na temp = 1.324 +/- 0.035 uk\n",
      "111111    1.61331578947e-06\n",
      "222222       [18]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.61331578947e-06 *******\n",
      "init mol temp = 1.750875 (4.14811291171 %)\n",
      "mean mol temp = 1.61331578947 (3.15065458826 %)\n",
      "\n",
      " --- lattice factor: 1282.20278105 for Na num 508.779269579E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 304.99063513k\n",
      "TOTAL Na num = 304.99063513k\n",
      "\n",
      "init mol temp/init Na temp = 1.32226333875\n",
      "init mol temp = 1.750875e-06 uk\n",
      "init na temp = 1.32415e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.6293084486\n",
      "\n",
      "init na num = 426.280622096 at 1.32415 uk\n",
      "init Na density = 7.74935815876e+11 cm^-3 (7.54858254771 %)\n",
      "\n",
      "init overlap density = 5.53674882734e+11 cm^-3 (9.98519989309 %) (34.4775900681 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.714478375359\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 13.4317333255 at 1.750875 uk\n",
      "init molecule density = 1.1316569373e+11 cm^-3 (13.0241118286 %)\n",
      "two-body rate coefficient = 2.74541961035e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.121109075435\n",
      "loss rate coefficient = 2.90585224183e-11 (15.6964422221 %) (36.5428282763 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 16.2645304264\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0923545718798\n",
      "\n",
      "loss rate from EXP fit = 16.2936639161\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.74541961035e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.119229351319\n",
      "loss rate coefficient = 3.10315298408e-11 (14.1657627202 %) (35.9119594765 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.74541961035e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.121802593287\n",
      "loss rate coefficient = 2.93812686103e-11 (14.3830166724 %) (35.9982106305 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 21 $$$ 21 $$$ 21 $$$ 21 $$$ 21 $$$ 21 $$$ 21 $$$ 21 $$$ 21 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.23071428571e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.126 +/- 0.082 uk (7.29989208514 %)\n",
      "mean Na temp = 1.231 +/- 0.029 uk\n",
      "111111    1.67716666667e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.67716666667e-06 *******\n",
      "init mol temp = 1.56358333333 (2.4789822152 %)\n",
      "mean mol temp = 1.67716666667 (5.03679612752 %)\n",
      "\n",
      " --- lattice factor: 1298.53504281 for Na num 467.94270774E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 252.254789029k\n",
      "TOTAL Na num = 252.254789029k\n",
      "\n",
      "init mol temp/init Na temp = 1.27046817566\n",
      "init mol temp = 1.56358333333e-06 uk\n",
      "init na temp = 1.23071428571e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.99129021192\n",
      "\n",
      "init na num = 348.138093687 at 1.23071428571 uk\n",
      "init Na density = 7.06303899784e+11 cm^-3 (7.57605264508 %)\n",
      "\n",
      "init overlap density = 5.14301446145e+11 cm^-3 (9.83380464893 %) (34.4340487581 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.728158865188\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 15.3252226453 at 1.56358333333 uk\n",
      "init molecule density = 1.52999737523e+11 cm^-3 (8.913769321 %)\n",
      "two-body rate coefficient = 2.45174118412e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.122769288047\n",
      "loss rate coefficient = 2.57372129149e-11 (15.7298027562 %) (36.5571702235 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 12.4172530742\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0996613919191\n",
      "\n",
      "loss rate from EXP fit = 13.509063775\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.45174118412e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.122770127176\n",
      "loss rate coefficient = 2.57371963699e-11 (14.2438686318 %) (35.9428406445 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.45174118412e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.124383650136\n",
      "loss rate coefficient = 2.60791345561e-11 (14.3831733822 %) (35.9982732439 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 22 $$$ 22 $$$ 22 $$$ 22 $$$ 22 $$$ 22 $$$ 22 $$$ 22 $$$ 22 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.27646153846e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.286 +/- 0.021 uk (1.62217519062 %)\n",
      "mean Na temp = 1.276 +/- 0.036 uk\n",
      "111111    1.80246153846e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.80246153846e-06 *******\n",
      "init mol temp = 1.66588888889 (4.56564373791 %)\n",
      "mean mol temp = 1.80246153846 (6.85721634576 %)\n",
      "\n",
      " --- lattice factor: 1278.780229 for Na num 517.336887648E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 278.55230994k\n",
      "TOTAL Na num = 278.55230994k\n",
      "\n",
      "init mol temp/init Na temp = 1.30508349738\n",
      "init mol temp = 1.66588888889e-06 uk\n",
      "init na temp = 1.27646153846e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.52734841065\n",
      "\n",
      "init na num = 390.370195553 at 1.27646153846 uk\n",
      "init Na density = 7.4979229285e+11 cm^-3 (7.92514250425 %)\n",
      "\n",
      "init overlap density = 5.39076830293e+11 cm^-3 (10.2228055277 %) (34.5471526013 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.718968220177\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 14.4247852424 at 1.66588888889 uk\n",
      "init molecule density = 1.30950074729e+11 cm^-3 (13.455926146 %)\n",
      "two-body rate coefficient = 2.61215907716e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.170047136121\n",
      "loss rate coefficient = 2.69087794936e-11 (19.8410190738 %) (38.5054027104 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 15.2160177072\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.126285531685\n",
      "\n",
      "loss rate from EXP fit = 14.7239557821\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.61215907716e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.170050622502\n",
      "loss rate coefficient = 2.69088027883e-11 (18.6694302463 %) (37.9150052845 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.61215907716e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.171242991933\n",
      "loss rate coefficient = 2.72664578523e-11 (18.7781017798 %) (37.9686331918 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 23 $$$ 23 $$$ 23 $$$ 23 $$$ 23 $$$ 23 $$$ 23 $$$ 23 $$$ 23 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.24622727273e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.248 +/- 0.079 uk (6.35992743797 %)\n",
      "mean Na temp = 1.246 +/- 0.023 uk\n",
      "111111    1.65493333333e-06\n",
      "222222       [17 21]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.65493333333e-06 *******\n",
      "init mol temp = 1.620375 (7.30902532498 %)\n",
      "mean mol temp = 1.65493333333 (4.9399512582 %)\n",
      "\n",
      " --- lattice factor: 1302.54634078 for Na num 457.913011901E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 263.231420232k\n",
      "TOTAL Na num = 263.231420232k\n",
      "\n",
      "init mol temp/init Na temp = 1.30022431338\n",
      "init mol temp = 1.620375e-06 uk\n",
      "init na temp = 1.24622727273e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.4739531625\n",
      "\n",
      "init na num = 362.168225194 at 1.24622727273 uk\n",
      "init Na density = 7.21091519375e+11 cm^-3 (7.1804565118 %)\n",
      "\n",
      "init overlap density = 5.19363769034e+11 cm^-3 (10.2905417642 %) (34.567256903 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.720246674769\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 15.8850153303 at 1.620375 uk\n",
      "init molecule density = 1.50324503845e+11 cm^-3 (12.850336202 %)\n",
      "two-body rate coefficient = 2.54079206175e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0907540689036\n",
      "loss rate coefficient = 2.25095541429e-11 (13.7207237428 %) (35.7387501184 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 12.1656709855\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0652987128702\n",
      "\n",
      "loss rate from EXP fit = 11.9379694663\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.54079206175e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.090300101045\n",
      "loss rate coefficient = 2.30601860528e-11 (11.9680381503 %) (35.1031898432 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.54079206175e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0914942949839\n",
      "loss rate coefficient = 2.28588649347e-11 (12.0583960304 %) (35.1340990325 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 24 $$$ 24 $$$ 24 $$$ 24 $$$ 24 $$$ 24 $$$ 24 $$$ 24 $$$ 24 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.31339130435e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.37 +/- 0.096 uk (7.00261688086 %)\n",
      "mean Na temp = 1.313 +/- 0.023 uk\n",
      "111111    1.69258730159e-06\n",
      "222222       [ 6 22]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.69258730159e-06 *******\n",
      "init mol temp = 1.56720833333 (3.62518221554 %)\n",
      "mean mol temp = 1.69258730159 (5.05025541838 %)\n",
      "\n",
      " --- lattice factor: 1281.27115435 for Na num 511.108673297E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 296.133840854k\n",
      "TOTAL Na num = 296.133840854k\n",
      "\n",
      "init mol temp/init Na temp = 1.19325316693\n",
      "init mol temp = 1.56720833333e-06 uk\n",
      "init na temp = 1.31339130435e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.97865222364\n",
      "\n",
      "init na num = 414.202572329 at 1.31339130435 uk\n",
      "init Na density = 7.62250129271e+11 cm^-3 (7.03093014383 %)\n",
      "\n",
      "init overlap density = 5.71215424714e+11 cm^-3 (9.46420049161 %) (34.330323199 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.749380554728\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 16.08029147 at 1.56720833333 uk\n",
      "init molecule density = 1.5998131415e+11 cm^-3 (8.23679202538 %)\n",
      "two-body rate coefficient = 2.4574252827e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0823607091542\n",
      "loss rate coefficient = 1.80295189636e-11 (12.5460732928 %) (35.3044466756 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 11.263074065\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0558821149414\n",
      "\n",
      "loss rate from EXP fit = 10.5490513569\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4574252827e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0809888252677\n",
      "loss rate coefficient = 1.8602704202e-11 (10.6123993081 %) (34.6644344981 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4574252827e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0826042149753\n",
      "loss rate coefficient = 1.82766615748e-11 (10.7361857384 %) (34.7025313804 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 25 $$$ 25 $$$ 25 $$$ 25 $$$ 25 $$$ 25 $$$ 25 $$$ 25 $$$ 25 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.31096e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.244 +/- 0.067 uk (5.34724969645 %)\n",
      "mean Na temp = 1.311 +/- 0.027 uk\n",
      "111111    1.49988e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.49988e-06 *******\n",
      "init mol temp = 1.57663333333 (1.78206274674 %)\n",
      "mean mol temp = 1.49988 (2.18344136539 %)\n",
      "\n",
      " --- lattice factor: 1296.17348684 for Na num 473.847451835E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 268.347593289k\n",
      "TOTAL Na num = 268.347593289k\n",
      "\n",
      "init mol temp/init Na temp = 1.2026555603\n",
      "init mol temp = 1.57663333333e-06 uk\n",
      "init na temp = 1.31096e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.28754152502\n",
      "\n",
      "init na num = 371.022606368 at 1.31096 uk\n",
      "init Na density = 6.84687076791e+11 cm^-3 (7.15034803903 %)\n",
      "\n",
      "init overlap density = 5.11284336878e+11 cm^-3 (9.39254196002 %) (34.3106374827 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.746741619944\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 16.2642076056 at 1.57663333333 uk\n",
      "init molecule density = 1.60362306753e+11 cm^-3 (8.61432093355 %)\n",
      "two-body rate coefficient = 2.47220393898e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.114067601507\n",
      "loss rate coefficient = 1.40225371825e-11 (14.7761301296 %) (36.1570742954 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 6.9109365739\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0902013117959\n",
      "\n",
      "loss rate from EXP fit = 7.46586263143\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.47220393898e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.114226395781\n",
      "loss rate coefficient = 1.42129675212e-11 (13.3182127374 %) (35.586160098 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.47220393898e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.115394890067\n",
      "loss rate coefficient = 1.41879536371e-11 (13.4185655762 %) (35.6238389582 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 26 $$$ 26 $$$ 26 $$$ 26 $$$ 26 $$$ 26 $$$ 26 $$$ 26 $$$ 26 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.2671e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.248 +/- 0.02 uk (1.64104442097 %)\n",
      "mean Na temp = 1.267 +/- 0.023 uk\n",
      "111111    1.51944736842e-06\n",
      "222222       [12]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.51944736842e-06 *******\n",
      "init mol temp = 1.52056666667 (4.32911568051 %)\n",
      "mean mol temp = 1.51944736842 (5.68284787603 %)\n",
      "\n",
      " --- lattice factor: 1283.11734975 for Na num 506.492517007E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 284.286764067k\n",
      "TOTAL Na num = 284.286764067k\n",
      "\n",
      "init mol temp/init Na temp = 1.20003682951\n",
      "init mol temp = 1.52056666667e-06 uk\n",
      "init na temp = 1.2671e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.81371962058\n",
      "\n",
      "init na num = 397.059931948 at 1.2671 uk\n",
      "init Na density = 7.71108778653e+11 cm^-3 (6.78552391154 %)\n",
      "\n",
      "init overlap density = 5.7638457398e+11 cm^-3 (9.349096257 %) (34.2987696692 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.747475051428\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 13.7865813399 at 1.52056666667 uk\n",
      "init molecule density = 1.43520464287e+11 cm^-3 (9.60156018582 %)\n",
      "two-body rate coefficient = 2.38428988107e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0811633036292\n",
      "loss rate coefficient = 1.84341847879e-11 (12.3806469695 %) (35.2459986294 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 11.2385787973\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0643925760299\n",
      "\n",
      "loss rate from EXP fit = 10.8304359841\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.38428988107e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0809744932916\n",
      "loss rate coefficient = 1.85242550368e-11 (10.6913950894 %) (34.6887003066 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.38428988107e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0814593318794\n",
      "loss rate coefficient = 1.86898812659e-11 (10.7281625091 %) (34.7000500118 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 27 $$$ 27 $$$ 27 $$$ 27 $$$ 27 $$$ 27 $$$ 27 $$$ 27 $$$ 27 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.28533333333e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.386 +/- 0.078 uk (5.65875898981 %)\n",
      "mean Na temp = 1.285 +/- 0.028 uk\n",
      "111111    1.56026041667e-06\n",
      "222222       [14 17]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.56026041667e-06 *******\n",
      "init mol temp = 1.562375 (6.29866178941 %)\n",
      "mean mol temp = 1.56026041667 (5.95083850156 %)\n",
      "\n",
      " --- lattice factor: 1282.97242893 for Na num 506.854871476E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 296.043867123k\n",
      "TOTAL Na num = 296.043867123k\n",
      "\n",
      "init mol temp/init Na temp = 1.21554071577\n",
      "init mol temp = 1.562375e-06 uk\n",
      "init na temp = 1.28533333333e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.44049406389\n",
      "\n",
      "init na num = 413.527643129 at 1.28533333333 uk\n",
      "init Na density = 7.86062015075e+11 cm^-3 (7.73518452017 %)\n",
      "\n",
      "init overlap density = 5.84162193535e+11 cm^-3 (10.2182577536 %) (34.5458071482 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.74315026338\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 16.6178970593 at 1.562375 uk\n",
      "init molecule density = 1.66097686976e+11 cm^-3 (12.1167741692 %)\n",
      "two-body rate coefficient = 2.4498464846e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0879761720035\n",
      "loss rate coefficient = 2.02589256177e-11 (13.4837257434 %) (35.6484341861 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 12.5677232459\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0677788934221\n",
      "\n",
      "loss rate from EXP fit = 12.0807735692\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4498464846e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0864071499613\n",
      "loss rate coefficient = 2.0978602615e-11 (11.4144358201 %) (34.9183239158 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4498464846e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0883277566293\n",
      "loss rate coefficient = 2.05806271876e-11 (11.5605067086 %) (34.9663454676 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.73\n",
      "\n",
      " $$$ 28 $$$ 28 $$$ 28 $$$ 28 $$$ 28 $$$ 28 $$$ 28 $$$ 28 $$$ 28 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.49403571429e-06\n",
      "222222       [5]\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.304 +/- 0.082 uk (6.27422476051 %)\n",
      "mean Na temp = 1.494 +/- 0.048 uk\n",
      "111111    2.32233333333e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.32233333333e-06 *******\n",
      "init mol temp = 2.22526666667 (6.84228344053 %)\n",
      "mean mol temp = 2.32233333333 (5.23286154123 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 139.760013236E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 97.6075696784k\n",
      "TOTAL Na num = 97.6075696784k\n",
      "\n",
      "init mol temp/init Na temp = 1.48943338194\n",
      "init mol temp = 2.22526666667e-06 uk\n",
      "init na temp = 1.49403571429e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.31576815763\n",
      "\n",
      "init na num = 101.003281562 at 1.49403571429 uk\n",
      "init Na density = 1.5320394029e+11 cm^-3 (8.54437366658 %)\n",
      "\n",
      "init overlap density = 1.03124707796e+11 cm^-3 (11.3018381732 %) (34.8816792327 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.673120466748\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 19.0937546005 at 2.22526666667 uk\n",
      "init molecule density = 1.1227516054e+11 cm^-3 (14.526666528 %)\n",
      "two-body rate coefficient = 3.4892786435e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.159265792716\n",
      "loss rate coefficient = 3.2837555665e-10 (19.5291442052 %) (38.345631738 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 33.5169049917\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.123332888181\n",
      "\n",
      "loss rate from EXP fit = 34.1655066645\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.4892786435e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.15926681015\n",
      "loss rate coefficient = 3.28375960527e-10 (18.2106667237 %) (37.691224211 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.4892786435e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.165611308287\n",
      "loss rate coefficient = 3.44466990639e-10 (18.7680651293 %) (37.9636703797 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 29 $$$ 29 $$$ 29 $$$ 29 $$$ 29 $$$ 29 $$$ 29 $$$ 29 $$$ 29 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.65622580645e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.622 +/- 0.076 uk (4.69602471811 %)\n",
      "mean Na temp = 1.656 +/- 0.044 uk\n",
      "111111    2.34071428571e-06\n",
      "222222       [23 28 29]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.34071428571e-06 *******\n",
      "init mol temp = 2.6755952381 (10.2343882349 %)\n",
      "mean mol temp = 2.34071428571 (5.84995786073 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 170.187741486E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 127.150935558k\n",
      "TOTAL Na num = 127.150935558k\n",
      "\n",
      "init mol temp/init Na temp = 1.61547732663\n",
      "init mol temp = 2.6755952381e-06 uk\n",
      "init na temp = 1.65622580645e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.22604636554\n",
      "\n",
      "init na num = 131.574444353 at 1.65622580645 uk\n",
      "init Na density = 1.7098898865e+11 cm^-3 (7.71966084419 %)\n",
      "\n",
      "init overlap density = 1.10203234615e+11 cm^-3 (11.9676134056 %) (35.1030450335 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.64450486248\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 13.6815538644 at 2.6755952381 uk\n",
      "init molecule density = 61019724846.1 cm^-3 (17.4047624171 %)\n",
      "two-body rate coefficient = 4.19540608897e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.108801336922\n",
      "loss rate coefficient = 8.68171428416e-10 (16.1740866754 %) (36.7505248913 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 100.536787501\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0853397511036\n",
      "\n",
      "loss rate from EXP fit = 95.8419202401\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 4.19540608897e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.108156502733\n",
      "loss rate coefficient = 8.86525010692e-10 (14.7071629884 %) (36.1289446728 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 4.19540608897e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.110815311444\n",
      "loss rate coefficient = 9.01162858506e-10 (14.9037808907 %) (36.2094281208 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 30 $$$ 30 $$$ 30 $$$ 30 $$$ 30 $$$ 30 $$$ 30 $$$ 30 $$$ 30 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.41864705882e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.632 +/- 0.075 uk (4.56882660765 %)\n",
      "mean Na temp = 1.419 +/- 0.043 uk\n",
      "111111    2.25119607843e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.25119607843e-06 *******\n",
      "init mol temp = 2.12666666667 (11.4275977711 %)\n",
      "mean mol temp = 2.25119607843 (7.152497583 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 130.693966853E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 107.117419917k\n",
      "TOTAL Na num = 107.117419917k\n",
      "\n",
      "init mol temp/init Na temp = 1.49908086965\n",
      "init mol temp = 2.12666666667e-06 uk\n",
      "init na temp = 1.41864705882e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.11754423665\n",
      "\n",
      "init na num = 110.843974086 at 1.41864705882 uk\n",
      "init Na density = 1.81709011178e+11 cm^-3 (8.11294032066 %)\n",
      "\n",
      "init overlap density = 1.21900568163e+11 cm^-3 (12.0501661024 %) (35.1312752842 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.670855932639\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 18.4135459651 at 2.12666666667 uk\n",
      "init molecule density = 1.15892074289e+11 cm^-3 (19.0325678389 %)\n",
      "two-body rate coefficient = 3.33467116233e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.124288696312\n",
      "loss rate coefficient = 7.10215494096e-10 (17.3113634184 %) (37.2650413042 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 95.2288469017\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0877438675008\n",
      "\n",
      "loss rate from EXP fit = 86.8252231325\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.33467116233e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.122614028716\n",
      "loss rate coefficient = 7.77587514678e-10 (15.8388138746 %) (36.6042077493 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.33467116233e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.12850647191\n",
      "loss rate coefficient = 7.53110512788e-10 (16.2992379515 %) (36.8057761472 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 31 $$$ 31 $$$ 31 $$$ 31 $$$ 31 $$$ 31 $$$ 31 $$$ 31 $$$ 31 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.62024137931e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.536 +/- 0.099 uk (6.43037162414 %)\n",
      "mean Na temp = 1.62 +/- 0.041 uk\n",
      "111111    2.51129824561e-06\n",
      "222222       [ 2  5 12 16 17 18 23 26 27 28]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.51129824561e-06 *******\n",
      "init mol temp = 2.31586622807 (4.02190401371 %)\n",
      "mean mol temp = 2.51129824561 (3.7272271979 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 163.769324174E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 116.707934328k\n",
      "TOTAL Na num = 116.707934328k\n",
      "\n",
      "init mol temp/init Na temp = 1.42933408419\n",
      "init mol temp = 2.31586622807e-06 uk\n",
      "init na temp = 1.62024137931e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.73753290614\n",
      "\n",
      "init na num = 120.768137044 at 1.62024137931 uk\n",
      "init Na density = 1.62202934787e+11 cm^-3 (7.75479118446 %)\n",
      "\n",
      "init overlap density = 1.11517597872e+11 cm^-3 (10.4183097266 %) (34.6055079078 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.687518989831\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 15.4802888171 at 2.31586622807 uk\n",
      "init molecule density = 85738187176.9 cm^-3 (10.0819809792 %)\n",
      "two-body rate coefficient = 3.63134121939e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.142777959147\n",
      "loss rate coefficient = 7.81600803138e-10 (17.6747456485 %) (37.4352325188 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 88.2213424234\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.119079195769\n",
      "\n",
      "loss rate from EXP fit = 87.3823513482\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.63134121939e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.142778189459\n",
      "loss rate coefficient = 7.81600747173e-10 (16.335724173 %) (36.8219484039 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.63134121939e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.147200161767\n",
      "loss rate coefficient = 8.12678856176e-10 (16.723595506 %) (36.9956571323 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 32 $$$ 32 $$$ 32 $$$ 32 $$$ 32 $$$ 32 $$$ 32 $$$ 32 $$$ 32 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.61447826087e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.416 +/- 0.058 uk (4.1122680235 %)\n",
      "mean Na temp = 1.614 +/- 0.077 uk\n",
      "111111    2.4612173913e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.4612173913e-06 *******\n",
      "init mol temp = 2.51977777778 (13.0526688113 %)\n",
      "mean mol temp = 2.4612173913 (5.62653217315 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 135.332131597E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 112.560994547k\n",
      "TOTAL Na num = 112.560994547k\n",
      "\n",
      "init mol temp/init Na temp = 1.56073812751\n",
      "init mol temp = 2.51977777778e-06 uk\n",
      "init na temp = 1.61447826087e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 0.979116817313\n",
      "\n",
      "init na num = 116.476927585 at 1.61447826087 uk\n",
      "init Na density = 1.57277835595e+11 cm^-3 (10.3049457479 %)\n",
      "\n",
      "init overlap density = 1.03280944312e+11 cm^-3 (13.5658720917 %) (35.6795863991 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.656678316568\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 19.1046813728 at 2.51977777778 uk\n",
      "init molecule density = 93231329741.5 cm^-3 (21.5733127427 %)\n",
      "two-body rate coefficient = 3.95108007416e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.123734756104\n",
      "loss rate coefficient = 5.11747367395e-10 (18.361257699 %) (37.7642130103 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 58.4782016702\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0894232613965\n",
      "\n",
      "loss rate from EXP fit = 53.0941677375\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.95108007416e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.121281867964\n",
      "loss rate coefficient = 5.79501011142e-10 (16.6168998373 %) (36.9475487712 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.95108007416e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.128018186793\n",
      "loss rate coefficient = 5.41845718191e-10 (17.1147599087 %) (37.1741174304 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 33 $$$ 33 $$$ 33 $$$ 33 $$$ 33 $$$ 33 $$$ 33 $$$ 33 $$$ 33 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.4510625e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.31 +/- 0.046 uk (3.48368859566 %)\n",
      "mean Na temp = 1.451 +/- 0.034 uk\n",
      "111111    2.39592361111e-06\n",
      "222222       [ 0  1  3  4  7 12 24 29]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.39592361111e-06 *******\n",
      "init mol temp = 2.42056018519 (7.83479582224 %)\n",
      "mean mol temp = 2.39592361111 (4.19596654326 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 134.997449739E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 103.573908072k\n",
      "TOTAL Na num = 103.573908072k\n",
      "\n",
      "init mol temp/init Na temp = 1.66812951557\n",
      "init mol temp = 2.42056018519e-06 uk\n",
      "init na temp = 1.4510625e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.4204579595\n",
      "\n",
      "init na num = 107.177185478 at 1.4510625 uk\n",
      "init Na density = 1.6984356221e+11 cm^-3 (7.36854249748 %)\n",
      "\n",
      "init overlap density = 1.07535818911e+11 cm^-3 (11.3973357618 %) (34.9127378254 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.633146275975\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 21.3404799717 at 2.42056018519 uk\n",
      "init molecule density = 1.10610357662e+11 cm^-3 (13.9871838372 %)\n",
      "two-body rate coefficient = 3.79550419102e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0837502243785\n",
      "loss rate coefficient = 7.16554083459e-10 (14.1435590748 %) (35.9032068665 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 79.0158411234\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0727973857318\n",
      "\n",
      "loss rate from EXP fit = 77.3427280224\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.79550419102e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0843965736737\n",
      "loss rate coefficient = 7.48806637425e-10 (12.6264311357 %) (35.3330831265 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.79550419102e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0893130327859\n",
      "loss rate coefficient = 7.65782061018e-10 (12.9602131541 %) (35.4537321731 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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k2gJX6i6lzF1miJynLLRf6i4NiZyx/yNl7jI8nnLsR1EMhRkfDopwUBwQMF+RDa/XittjQ/vs4LeFhE37beCzVQuesmHMgRqemMeveWDxFnYdLg15crWnLFMcFpJtshTgeCBWH0scVaC01iNawY5I3/CIf5FKqZuBmwFOPvkod+uNIBrrH9rTmoqY9vZsScaW0ePofd0VhmCFb0ERK/8JKn6Cwj2GoJX/BGHh8RcCF5oBM5RoJ0d0MgWkUPFOGuzrZQics2PgtUPNzZporG1r6MdopsD5tZ9yT3lIyMo95SEhC3pxZe4yQ+wCglfqLg30Kwydq29JQDjabwmIlyFi83+w4ffZwG9HBwQNvw0d2JTfjiPBSZIliWRbIqm2ZNLsSaTbk0hz2mp4bikRvDpZxB0bxOpjicYs1H04UrvW+vdNeL9Dwak7pVQXqkPXczEyVQTJBA7U875zgblgrINqgg11iEaal/aSOmZEr078a82+iO3tCqsTrKdA+ilH7+v3Q2WRIVTl+dwydxkZqoQOlBivqoQMSunk/RF27YOKI+D3Rh7LbAsTrIzI+4706mNHRqNELRyTMpFsTSbZmkwXjvIssB601lT6KkNiVe4pp9RdSoWngplL1lJUWYIyVaHMVWCqQpkqcdg89D/FTom7lDL3Ico95ZR7y/DXEjoNlAa2AwA+oEyhS6whITNEzY72WwOem7FZlAN7ghOn2UmiJZEkWyIp1iTS7MmkO5Lo4EyhozOFDKcjzHMzBM5hkbVuLUWqw0KRyxOxvS1pzBRf+NyJHSMyb1sT3+9tYArweOB1aVj7dKXUQozgiOLWeP4UJBYfDrYWy7fnH1P7cYHJFBCMDOh0Bl+nVEX0IrulOfji7guN9FRVJQFP7Iixhe9XFBivrgL48WvjXGVR/e9vtlaLlTMjkBoruJ9RLWiO9OpjR7qRA7KJKKVwJDhwJDjoRM2bjwfO7xVxSvqRCAt1tda4/W5DrNzlIbELenXh+xWeCkqqyiiqLKXEXUaZu5xyTxku709U+ly4/S78eHFj5JYMfWLBhrCMX9qfYIhbmOChrSQoB1aTA5spIHQJTpKsiSQHtjR7EumOJDKcyXR0JtMpMYXOSal0SkzCktD+lgREi/p0vq31/6iZJOpcoJQNeFtrPeoo/RZgBER0BA4BjwBLgDeAk4F9wHitdUEgzPxvwGiMMPMbtNZHTRERKZOEx+MhNzeXysrIuehqU+H2UlThISxXKiYFaU4LTuvxn0s3r9AVcS5VAd3SY2CarxWIyndAa2P9WI3NZ3hvDbXX+G1o7MU/kLnhCSzuIrAmVYtVjS2tet+eVt1mD+SEtCYd9T9NW92kuX3ukKiVe8qp8FZUT2FWlVHgMgSuqLKMksoySt0VoX6VPmPz+Cvxahc+KkE1biWM1gq0FZO2YcJOgrKFCZ0Dh9lJotVJkiWRFJuxpTkSSXck08GZTLo9kURLIg6LA2eCE0eC8Woxt63H0VS6z3yv3v8Dux+/tFljRzuTRG2cwFEfCmitJ9Zz6qIIfTVwaxNsqUNubi7JyclkZWU1yv3ffrAEi6/ul9pqNtGrS0pLmBTTqIMluOP45w9SWOHmUHElbp8fq9lE51Q76c6meyxNIihqfi/4fWifhyMFvcjt3IfuJV+Bq9Dw0lyFxnboG8NTcxXWPwUJxnq0oFhFerWnMtaRxtgxwbZUsHuNnJC2lIiLrVsKq9mK1Wwl3Z7eIuO5fW4qPBWUecoocJXyU7mxHXGVUuQqpbiqnOKqMsrdFZR7DLGr9Lmo8rmoqKqgyP8TmNwokxtlqjL2Gyl6YASrJCg7VpMdm9mB3Wx4rYkWR8Czc5JiTyTJ6gwJW3ALHVscNdqDW4IpejfMsfosujHPoLZQfVtnBjoBTXn+1CpUVlY2WpyAiP+cG2o/3uicaiev0IU/zJM2KUXn1Nq5Go5v0p3W1hek2ihlZOkwGVNPCujQNYX8EhcMnFH/dVobIfmuomrBcgVeK4vC2gNtFUfgyPdGW2Vx3UwhNY0Ce0pAtFJDglb9mlp93pYSuc3UelNpQcFLs6eRmdz46yLlI7QnmLh7VE/OPCWFw2UlFLhKOVJRSoGrjOLKckqqjK3MU06FpwKX10Wlz0Wlv5JyqgyRU24wlaFMBdXCp9yB/QZuKiKQYLLgMDtwRhAwe4K94WOzPSR+wX17gt3Ytzi48+c9eGjJ9piLPG6MJF8Wtu8FDmmtj+2TbWWO5cGp1Wyq14OIB4L/lNvcexAi0qjvslJGaitbMjVjjRqB32+IW1CswsWsqiSsrTiwFUHB7upjd+nR38OaFCZgKTX3bSmG3TXakuuej/LUWaQw60qvn/lf7GHqeRdiPKloPJUeHyWVHkpcXkoqPRS7PJS4PJRUeo1Xl4ciVyVFrnKKAmJX6i4PPKdzoZUblBtl8oSErUq5qTC5KTC5MSd4sSR4MJvLMJkLUMqDNlWhcePDjVdXcayL2aynmUnwW/D7LaQcuZd7f57T5s/iGxNmvlcpZQY6B/p3VUqhta4b+tUOEQ8iRrwHoW0wmQKi0cTpXJ+3Wsgqi6CyJOy4pFrIgm1VJUb4/5Hvqvv6GlEoIcERJl7J1cJlC2+rfS45sFQh0GZNMhaURxD9lg6ztlvM2C1mTjgGLy6I1poKt49il4fSSm9I3IxjQ+RC+67A+UpPSBBLKz3G/zPlRZncoDzGq8mNUh4weXBYfTjsPuwWL1arD6vFi8Xsw2zzYDJ5+PuEEXROavsp/sZM8d2GEeBwiOpcfBroH0W7Wg3xIAShGZgTqiMim4qnMiBgAcEK7ZcGjksD4lZafc5dZqxxqywxvLiq0qNMVQYwWapFy1otYvOcFeS7rZTjoAw7FdpOOXYszhTYjiFutqTANUnGsTUxKtOXSikSbQkk2pr2zMnv15S7vYaQVdQUtZKAmAXFL3Rc5KUgrN12WWzcoDfmE7gD6Km1PhJtY9oK8SAEoQ2x2I0t6YSj960PrY3s/O6yukJWFWgLCllVqdHmLjP6VRRwtrOIcl8RibhIpBKTCsyoeICFDdnuNIQqJGBh4hV8tdU6rm8/OFYzRc9kUiTbLSTbLXRrQpCDz6+JleQgjRGo/UCE6ndCQ/zrX/9izpw5uN1uhgwZwv3338/FF1/M6tWrycjI4IILLuChhx7ijDPOYPTo0QwZMoSNGzdyxhln8Morr+B0RkpLKghCRJSqzjySHDnfYkMkA08s2cKCL/fj1z6SlIdJg9KZOeKkgLCV1RTAGvvBc+XGccURKNprXOMpN14bkcUjRIIjsPA8IF4hEUysKWT17VucxvWWxOpXi8PYGvFM0xwr6kTjBOoHYIVS6j1qJov9S9SsaiF+9843fHug5Ogdj4E+XVN45H/6Nthn27ZtvP7663zxxRdYLBZ+85vfsHLlSu69916mTZvGkCFD6NOnDyNHjmTPnj3s2LGDF154gWHDhnHjjTfy97//nbvvvrtF7RYEoX6WbMzj3+vz8GkNmCjVNl7+uopepzkYO/C05g2utZHt31NRU9yCohbc91RUi5q7oma7u9wQvvBjdznHFgihwsQrKGYOY7+2qF34oBG40sY0RqD2BTZrYBOOwqeffsr69es566yzAHC5XJxwwgk8+uijvPnmmzz33HNs2rQp1P+kk05i2LBhAFx77bXMmTNHBEoQWpGoJktVqnoasznP6mqjNXgrDTHzBMWuolrgQq8V1cLmcdUUOY/L2C89GNh3GdcNv6/l7GwGjYni+11rGBINjubpRAutNVOmTGHWrFk12isqKsjNzQWgrKyM5GQjxKd2KLHkFxOE1iVWk6U2iFLVU3ccW4209kJ8LPZpZS666CIWLVrE4cNGLtyCggL27t3Lvffey6RJk/j973/PTTfdFOq/b98+Vq9eDcCCBQs499xz28RuQYhX6suY0NaZFOIdEago0KdPHx577DFGjhxJ//79+fnPf86ePXv46quvQiJltVqZP38+AL179+bll1+mf//+FBQUcMstt7SqvYUVbrYfLOHr3CK2HyyhsKIR61IE4ThixqieOGpVJY6FTArxzvGfDbWNmDBhAhMmTKjRtmbNmtD+W2+9BcCePXswmUw899xzrWpfkMIKd42Fym6fn7xCY1pDQu/jh3jO6A/tq4ZbPNGYhbp24FdAX4xyGwBorW+Mol1CK3GouLJGFg0Av9YcKq4UgYoTYrXcd2vTXmq4xRONmeJ7FTgRGAWsxCgm2IgEXEJjyMrKYuvWrW32/vGeLFdoOIJNENqSxkzxnaa1Hq+Uulxr/bJS6v+Aj6JtmNA6xHuy3CAxUW6jjWiXEWxCXNCY/0LBOsBFSql+QCqQFTWLhFalc6odU62w9nhLlht8DhcU6uBzuHgJFpEINiFWaYxAzVVKpQMPYZRm/xb4U1StElqNdKeVbumOkMdkNZvolu6IG+8BGn4OFw9IBJsQqzRmoe68wO5KGlFJV2h/xHuy3Hh/DicRbEKs0pgoPhswDmNaL9Rfax2zVXUF4ViQ53ASwSbEJo35C1wKXI5RTbc8bBOizEsvvcT06dOP2ufAgQOh46lTp/Ltt98e0/tUVVVx8cUXk5OTw+uvv94kW1uDFStWcNlll0U8N3HiRPr3789TTz3Fww8/zCeffALA008/TUVFRYPjJtsj36fV1y4IQuvQmL/ATK316KhbIjSJl156iX79+tG1a1cA5s2bd5Qr6rJx40Y8Hk+NBLZBfD4fZnPLF2VrSX788Uf++9//snfv3jrnnn76aa699toGy5eUVnqPqV04Pon3xcqxSGME6r9KqWyt9ZaoW9PSfDATfjy62R6/H4/Xj1+DSYElwYTFVI9zeWI2XPJ4g+ONHTuW/fv3U1lZyR133MHNN98MQFJSEnfccQfvvvsuDoeDpUuX0rlzZ9555x0ee+wx3G43HTp04LXXXqNz586h8UpLS+nfvz87d+7EYrFQUlJC//79mT17NuvWrWPSpEk4HA5Wr17NJZdcwpNPPsngwYP58MMPuf/++/H5fHTs2JFPP/20jq2HDx/m2muvJT8/n5ycHP79739z0UUXceONN7Js2TKmT59Or169mDZtGhUVFZx66qm8+OKLpKenM3z4cAYOHMj69evJz8/nlVdeYdasWWzZsoUJEybw2GOP1Xm/pKQkbr31Vj755BPS09P54x//yD333MO+fft4+umnGTNmDJWVldxyyy2sW7eOhIQE/vKXvzBixIh6P++RI0dy+PBhcnJy+Otf/8oLL7zAZZddxoEDBzhw4AAjRoygY8eOLF++POL18f4MSpDFyrFKY6b4zgXWK6V2KKW+VkptUUp9HW3DWguP3487IE4Afg1urx+Pv+n/nF588UXWr1/PunXrmDNnDkeOGMWIy8vLGTp0KJs3b+b888/n+eefB+Dcc89lzZo1bNy4kauvvpo//almkGRycjLDhw/nvffeA2DhwoWMGzeO8ePHM3jwYF577TU2bdqEw1EdFpyfn89NN93Ev//9bzZv3sybb74Z0dYTTjiBefPmcd5557Fp0yZOPfVUAOx2O59//jlXX301kydP5oknnuDrr78mOzub3/2uOsG91Wpl1apVTJs2jcsvv5xnn32WrVu38tJLL4V+7nDKy8sZPnw469evJzk5mQcffJCPP/6YxYsX8/DDDwPw7LPPArBlyxYWLFjAlClTqKysP6Lu7bff5tRTT2XTpk2cd955ofbbb7+drl27snz58nrFCep/1hRPz6DiHVmsHJs0xoO6JOpWRIujeDoA3x8sqfcBea8uKU162zlz5rB48WIA9u/fz65du+jQoQNWqzX0DOXMM8/k448/BiA3N5cJEyZw8OBB3G433bt3rzPm1KlT+dOf/sTYsWOZP39+SNzqY82aNZx//vmhsTIyjq0OTTCPYHFxMUVFRVxwwQUATJkyhfHjx4f6jRkzBoDs7Gz69u1Lly5dAOjRowf79++nQ4eaZQCsViujR48OXWOz2bBYLGRnZ7Nnzx4APv/8c2677TYAevXqxSmnnMLOnTuPyf5joXOqvUY+Qoi/tWDxjixWjk2Oeouotd4baWsN41qDlp7eWbFiBZ988gmrV69m8+bNDBw4MHT3b7FYQrWezGbv/kPOAAAgAElEQVQzXq/xjOO2225j+vTpbNmyhX/+858RvYVhw4axZ88eVq5cic/no1+/fg3aobVuVl2pxMTERvWz2WwAmEym0H7wOPjzhRP+GYRfE95f62OpEtp8ZC2YIIuVY5O4n8No6emd4uJi0tPTcTqdbN++vUYG84au6dbNmOd++eWX6+03efJkJk6cyA033BBqS05OprS0bmrEc845h5UrV7J7927AqEnVFFJTU0lPT+c///kPAK+++mrIm4oW559/Pq+99hoAO3fuZN++ffTs2bRFo/V9PrVJd1rp1SWF/plp9OqSIuIUZ8hi5dgk7gWqpVP9jB49Gq/XS//+/XnooYcYOnToUa959NFHGT9+POeddx4dO3ast9+kSZMoLCxk4sSJobbrr7+eadOmkZOTg8tVPR3RqVMn5s6dy5VXXsmAAQPqlP44Fl5++WVmzJhB//792bRpU+hZUbT4zW9+g8/nIzs7mwkTJvDSSy/V8M6OhZtvvplLLrmkwSALQRg7sBuzrsymW5oDBXRLczDrymwJkGhjVGtPpwAope4EpgIa2ALcAHQBFgIZwAbgOq11g8nQBg8erNetW1ejbdu2bfTu3fuY7GkviUIXLVrE0qVLefXVV9vaFKEVacp3WhBiBaXUeq314KZc2+orEZVS3YDbgT5aa5dS6g3gauAXwFNa64VKqecwalD9ozVsag+pfm677TY++OAD3n///bY2RRAEoVVoq6XyCYBDKeUBnMBB4ELgmsD5l4FHaSWBag/89a9/bfYY8+fP55lnnqnRNmzYsFBYtyAIQizR6gKltc5TSj0J7ANcwDJgPVCktQ6GfeUCESd/lVI3AzcDnHzyydE3+DjihhtuqBFgIQiCEMu0epBEoHTH5UB3oCuQSOS1VhEfjmmt52qtB2utB3fq1Cl6hgqCIAhtSltE8V0M7NZa52utPcBbwM+ANKVU0KPLBA7UN4AgCIJw/NMWArUPGKqUcipjxeZFGEUQlwO/DPSZgpFFXRAEQYhTWl2gtNZfAoswQsm3BGyYC9wL3KWU+g7oALzQ2rYJgiAIsUObLNTVWj+ite6lte6ntb5Oa12ltf5Ba3221vo0rfV4rXVVW9gWSxyP9aCysrIYN25c6HjRokVcf/31xzTGjBkz6Nu3LzNmzOC5557jlVdeAep+FoIgtG+kIls7pz3Wg1q3bh3ffPMNffv2bdL1//znP8nPz6+TXaL2ZyEIQvvmuBaoJ9Y+wfaC7S06Zq+MXtx79r0N9pF6UPXXgwK4++67+eMf/xjKtxdk7dq1/Pa3v8XlcuFwOJg/f36dHHxjxoyhvLycIUOGcN9997Ft2zaSkpLIysqq81mElx8RBKH9Efe5+KKB1IOqvx4UwFVXXcWGDRv47rvvarT36tWLVatWsXHjRn7/+99z//3317n27bffxuFwsGnTphr5BX/5y1/W+1kIgtA+Oa49qKN5OtFC6kHVXw8KjFIjM2bMYNasWVxySfUSuOLiYqZMmcKuXbtQSuHxeI7JZkEQji/Eg2phpB4UoeNI9aCCXHfddaxatYp9+/aF2h566CFGjBjB1q1beeeddxqsoisIwvGPCFQLI/WgGofFYuHOO+/k6aefDrWFfw4vvfTSMY/Z2NpPgiC0D0SgWhipB9V4fvWrX9Xwsu655x7uu+8+hg0bhs/nO+bx6vssBEFon7RJPaiWoqXqQbUXpB5UfHI8f6eF4592VQ9KaBpSD0oQhHhDBKqdIPWgBEGIN0Sg4gipByUIQntCgiQEQRCEmEQEShAEQYhJRKAEQRCEmEQEShAEQYhJ4l6glmzMY9jjn9F95nsMe/wzlmzMa5FxFy9ejFKK7dtbLpv69ddfT/fu3cnJySEnJydieYwgWmtuv/12TjvtNPr378+GDRvq9CktLQ2NlZOTQ8eOHfntb38LwHPPPUd2djY5OTmce+65DdaYGj16NHl5xue2YMEC/vCHP9Q4v2LFCpRSvPPOO6G2yy67jBUrVgDw6aefMmjQoNB7hSeRfeONN+jTpw99+/blmmuuqdcGv9/P7bffTr9+/cjOzuass84KZdHIysoK/Sw5OTn897//BWDfvn2MHDmS3r1706dPH/bs2VNn3FWrVjFo0CASEhJYtGhRjXP33HMPffv2pXfv3tx+++1EWlPY2BpVf/zjH4/aRxDiDq11u93OPPNMXZtvv/22Tlt9LN6Qq3s9+IE+5d53Q1uvBz/QizfkNnqM+hg/frw+99xz9SOPPHLM13q93ojtU6ZM0W+++Wajxnjvvff06NGjtd/v16tXr9Znn332Ua8ZNGiQXrlypdZa6+Li4lD70qVL9ahRoyJeU1FRoc8666zQ8eTJk/W6detq9Fm+fLnOzMzUQ4YMCbVdeumlevny5VprrU8//fTQ7+3ZZ5/VU6ZM0VprvXPnTp2Tk6MLCgq01lofOnSoXtv/7//+T48bN077fD6ttdb79+8PXXfKKafo/Pz8OtdccMEFetmyZVprrUtLS3V5eXmdPrt379abN2/W1113XY3P/osvvtA/+9nPtNfr1V6vVw8dOjT089R+j6+++qpeu4MkJibWe+5YvtOCEGsA63QT/8fHtQc1+6MduDw1U+q4PD5mf7SjWeOWlZXxxRdf8MILL7Bw4cJQ+4oVKzj//PO54oor6NOnD9OmTcPv9wNGraiHH36YIUOGsHr16ma9P8DSpUuZPHkySimGDh1KUVERBw8erLf/rl27OHz4MOeddx4AKSkpoXPl5eX1Jp5dsWIFw4cPB4ybnU2bNjFo0KA6/QYMGEBqamoog3s4SilKSkoAIx9fsODg888/z6233kp6ejpglAapj4MHD9KlSxdMJuMrnZmZGbouEt9++y1er5ef//zngPH5O53OOv2ysrLo379/aNxwmysrK3G73VRVVeHxeGrU8AIj80ewRlVOTg7FxcX07NmTHTuM79fEiRN5/vnnmTlzJi6Xi5ycHCZNmlSvzYIQb8S1QB0oipyvrb72xrJkyRJGjx7NGWecQUZGRo3ptbVr1/LnP/+ZLVu28P333/PWW28Bhgj069ePL7/8knPPPbfesR944AH69+/PnXfeSVVVVb398vLyOOmkk0LHmZmZoWm4SCxYsIAJEybUEKJnn32WU089lXvuuYc5c+ZEvO6DDz5g9OjRgFGZd8CAAfWK2YMPPhixiOG8efP4xS9+QWZmJq+++iozZ84EYOfOnezcuZNhw4YxdOhQPvzww3rtv+qqq3jnnXfIycnhf//3f9m4cWON8yNGjCAnJ4chQ4aExk5LS+PKK69k4MCBzJgx45jy/51zzjmMGDGCLl260KVLF0aNGlUnHVHtGlWpqan87W9/4/rrr2fhwoUUFhZy00038fjjj4dqXNUu4igI8UxcC1TXtMhF7eprbywLFizg6quvBuDqq69mwYIFoXNnn302PXr0wGw2M3HiRD7//HPAKL8xbty4BsedNWsW27dv56uvvqKgoIAnnnii3r46wvOQhspvLFy4sEYSWoBbb72V77//nieeeKLe6rhffPFFSFA//PDDGvWdahP0zoKZ0YM89dRTvP/+++Tm5nLDDTdw1113AeD1etm1axcrVqxgwYIFTJ06laKioohjZ2ZmsmPHDmbNmoXJZOKiiy6qUUF4+fLlbNq0iS+//DI09n/+8x+efPJJvvrqK3744YdjyqD+3XffsW3bNnJzc8nLy+Ozzz5j1apVR73u5z//OdnZ2dx6663Mmzev0e8nCPFIXAvUjFE9cVjMNdocFjMzRvWs54qjc+TIET777DOmTp1KVlYWs2fP5vXXXw8JRm2RCB7b7XbMZnOd8cLp0qULSilsNhs33HADa9eurbdvZmYm+/fvDx3n5uaGps5qs3nzZrxeL2eeeWbE81dffTVLliyp0/7DDz9w0kknYbVaAVi2bBkjR45s8Gd44IEHagRR5Ofns3nz5pBnM2HChFAQQ2ZmJpdffjkWi4Xu3bvTs2dPdu3aVe/YNpuNSy65hNmzZ3P//fdHtDlIZmYmAwcOpEePHiQkJDB27NiIgST1sXjxYoYOHUpSUhJJSUlccskljSqt4vf72bZtGw6Ho8klUAQhXohrgRo7sBuzrsymW5oDBXRLczDrymzGDuzW5DEXLVrE5MmT2bt3L3v27GH//v1079495CmtXbuW3bt34/f7ef311xuczqtN8BmS1polS5Y0WLRwzJgxvPLKK2itWbNmDampqaFqt7VZsGBBHe8pXAjee+89Tj/99DrXhU/vFRcX4/V6I1bQDWfkyJEUFhayefNmANLT0ykuLmbnzp0AfPzxx6GpsrFjx7J8+XIAfvrpJ3bu3EmPHj0ijrthw4ZQtJzf7+frr7/mlFNOqdeOs846i8LCQvLz8wH47LPP6NOnT4O2h3PyySezcuVKvF4vHo+HlStXRsw4XrtG1VNPPUXv3r1ZsGABN954Y6hqsMVikQrCglCbpkZXxMLW3Ci+aHDBBRfoDz74oEbbM888o6dNm6aXL1+uR4wYoa+66irdu3dv/etf/zoUddZQFFeQESNG6H79+um+ffvqSZMm6dLS0nr7+v1+/Zvf/Eb36NFD9+vXr0Yk2YABA2r07d69u962bVuNtttvv1336dNHDxgwQA8fPlxv3bq1zntcdtllevfu3Vprrd988816IxaXL1+uL7300tDx0qVLNRCKenvrrbd0v379dP/+/fUFF1ygv//++9DPcOedd+revXvrfv366QULFtT7837wwQd60KBBum/fvrpv3776hhtu0C6XS2tdfxTfsmXLdHZ2tu7Xr5+eMmWKrqqq0lpr/dBDD+mlS5dqrbVeu3at7tatm3Y6nTojI0P36dNHa21EWt588826V69eunfv3vrOO+8MjfurX/0q9HkvWrRIn3HGGXrAgAF606ZNulevXrqkpERrrfWdd96pH374Ya211vfcc4/u1auXvuaaa+rY2dbfaUFoDjQjik/qQbUiK1as4Mknn+Tdd99ta1OaTVVVFcOGDSP4+U+dOpWpU6c2qkCjcGzE8ndaOH5YsjGP2R/t4ECRi65pDmaM6tms2aQgUg9KaHVsNhvhNwfywF8Q2i9LNuZx31tbQstu8opc3PfWFoAWEammIgLVigwfPjy0ZqghrrjiilAWhCBPPPEEo0aNqtM33mo8bdmyheuuu65Gm81mC0XnCYJw7DS0JlQEqoXRWjcYUh3rLF68uNF9463GU3Z2doMpno432vMUvNB+iNaa0ObSJlF8Sqk0pdQipdR2pdQ2pdQ5SqkMpdTHSqldgdf60wA0gN1u58iRI/KHLbR7tNYcOXIEu93e1qYIxznRWhPaXNrKg3oG+FBr/UullBVwAvcDn2qtH1dKzQRmAvce68CZmZnk5uaGwocFoT1jt9vJzMxsazOE45wZo3rWeAYFzV8T2hK0ukAppVKA84HrAbTWbsCtlLocGB7o9jKwgiYIVHBRpyAIgtA4gs+ZohHF1xxaPcxcKZUDzAW+BQYA64E7gDytdVpYv0KtdZ1pPqXUzcDNACeffPKZe/fubRW7BUEQhGOnOWHmbfEMKgEYBPxDaz0QKMeYzmsUWuu5WuvBWuvBnTp1ipaNgiAIQhvTFgKVC+RqrYNxwYswBOuQUqoLQOD1cBvYJgiCIMQIbZJJQin1H2Cq1nqHUupRIDFw6khYkESG1vqeo4yTD7TkHF9H4KcWHC+aiK3RQWyNDmJrdGgPtp6itW7SdFdbCVQOMA+wAj8AN2B4c28AJwP7gPFa61ZN96yUWtfUudLWRmyNDmJrdBBbo0N7srUptEmYudZ6ExDpQ72otW0RBEEQYpO4LrchCIIgxC4iUDWZ29YGHANia3QQW6OD2Bod2pOtx0y7LrchCIIgHL+IByUIgiDEJCJQgiAIQkxy3AqUUmq0UmqHUuq7wLqq2udtSqnXA+e/VEplhZ27L9C+Qyk1qrFjxoqtSqmTlFLLA5niv1FK3RGrtoadMyulNiqlWqzccJS+A3Uy8cewrXcGfv9blVILlFItkha9qbYqpToEvpdlSqm/1brmTKXUlsA1c5RqmXo5LW2rUsqplHov8Pv/Rin1eEvYGQ1ba137tlJqa0vZ2mo0tVZ8LG+AGfge6IGx1moz0KdWn98AzwX2rwZeD+z3CfS3Ad0D45gbM2YM2doFGBTokwzsjFVbw667C/g/4N1Y/Q4Ezr2MscicwLhpsWgr0A3YDTgC/d4Arm9jWxOBc4FpwN9qXbMWOAdQwAfAJbFoK0blhRFhv///xKqtYdddGfjb2toSf1utuR2vHtTZwHda6x+0kS19IXB5rT6XY/yzASPd0kWBu7bLgYVa6yqt9W7gu8B4jRkzJmzVWh/UWm8A0FqXAtsw/mHFnK0ASqlM4FKMxdstRYvbqqoz8b8ARiZ+rXVRLNoa6JcAOJRSCRj/WA+0pa1a63Kt9edAZXhnZaQ2S9Far9bGf9RXgLGxaKvWukJrvTyw7wY2AC1RD6XFbQVQSiVh3Pw91gI2tjrHq0B1A/aHHedS9x90qI/W2gsUAx0auLYxY8aKrSEC0wADgZaoiR4tW58G7gH8LWBjNG3tAeQD8wPTkfOUUok0nxa3VWudBzyJkZXlIFCstV7WxrY2NGbuUcZsCtGwNYRSKg34H+DTZlsaPVv/H/BnoKIFbGx1jleBijR/XTuevr4+x9reXKJhq3GRcff0b+C3WuuSJlt4dDsa0ydiu1LqMuCw1np9c41rpB2N6VNfe7My8TdAND7XdIw77u5AVyBRKXVts6xs2I5j7dOc/o0lGrYaFxle6QJgjtb6hybYVmfIRthxTLYqI6XcaVrrxc0xrC05XgUqFzgp7DiTutMboT6BL1sqUNDAtY0ZM1ZsRSllwRCn17TWb7WAndGydRgwRim1B2Na40Kl1L9i1Nb6MvHHoq0XA7u11vlaaw/wFvCzNra1oTHDp8li4W/raMwFdmmtn24BO2vYEaAlbD0HODPwt/U5cIZSakUL2ds6tPVDsGhsGHe6P2DcPQYfOPat1edWaj5wfCOw35eaD51/wHiAedQxY8hWhTGP/3Ssf661rh1OywVJRMVWjIfiPQP7jwKzY9FWYAjwDcazJ4Xx7OK2trQ17Pz11A2S+AoYSnWQxC9i2NbHMG7+TLHwt9WQrWHnsmiHQRJtbkDUfjD4BUb02vfAA4G23wNjAvt24E2Mh8prgR5h1z4QuG4HYRE6kcaMRVsxIno08DWwKbA1+w8+Wp9r2PnhtJBARfE7kAOsC3y2S4D0GLb1d8B2YCvwKmCLAVv3YNz1l2F4BH0C7YMDdn4P/I1AlptYsxXDs9EYgUfBv62psWhrrbGzaIcCJamOBEEQhJjkeH0GJQiCILRzRKAEQRCEmEQEShAEQYhJRKAEQRCEmEQEShAEQYhJRKAEoZEEMpn/Juy4q1JqUZTea6xS6uEWHO9JpdSFLTWeILQGEmYuCI0kkNfwXa11v1Z4r/9irH/5qYXGOwV4Xms9siXGE4TWQDwoQWg8jwOnKqU2KaVmK6WygjV2lFLXK6WWKKXeUUrtVkpNV0rdFUgqu0YplRHod6pS6kOl1Hql1H+UUr1qv4lS6gygKihOSqnxyqjptFkptSrQZg7Y8JVS6mul1K/Drr8nUFtpc7BekdZ6L9BBKXVi1D8lQWghEtraAEFoR8wE+mmtcyDkUYXTDyNzvB1jtf+9WuuBSqmngMkYWdvnAtO01ruUUkOAvwO1p96GYZRxCPIwMEprnRfIoA3wK4wM5WcppWzAF0qpZUAvjFIVQ7TWFUFhDLAhMPa/m/wJCEIrIgIlCC3Hcm3U3ypVShUD7wTatwD9A9nlfwa8qaoLxtoijNMFo6xHkC+Al5RSb2AkfQUYGRjzl4HjVOB0jCSx87XWFQBa6/BkoocxMpsLQrtABEoQWo6qsH1/2LEf42/NBBQFPbAGcGEIDgBa62kBb+tSYFOgjILCSP76UfiFSqnR1F+CwR4YWxDaBfIMShAaTymQ3NSLtVGTa7dSajyAMhgQoes24LTggVLqVK31l1rrh4GfMEoufATcEiirglLqjEDxxGXAjUopZ6A9fIrvDIyErILQLhCBEoRGorU+gvGsZ6tSanYTh5kE/EoptRmjHEbtst4Aq4CBqnoecHYg6GFr4NxmYB7wLbAh0P5PIEFr/SHwNrBOKbUJuBtC9cFOw8jELgjtAgkzF4QYRCn1DPCO1vqTFhrvCmCQ1vqhlhhPEFoD8aAEITb5I0axwZYiAfhzC44nCFFHPChBEAQhJhEPShAEQYhJRKAEQRCEmEQEShAEQYhJRKAEQRCEmEQEShAEQYhJRKAEQRCEmEQEShAEQYhJRKAEQRCEmEQEShAEQYhJRKAEQRCEmEQEShAEQYhJRKAEQRCEmKRdV9Tt2LGjzsrKamszBEEQhHpYv379T1rrTk25tl0LVFZWFuvWSf01QRCEWEUptbep18oUnyAIghCTiEAJgiAIMYkIlCAIghCTtOtnUC3Fko15zP5oBweKXHRNczBjVE/GDuzW1mYJxzkej4fc3FwqKyvb2hRBaDZ2u53MzEwsFkuLjRn3ArVkYx73vbUFl8cHQF6Ri/ve2gIgIiVEldzcXJKTk8nKykIp1dbmCEKT0Vpz5MgRcnNz6d69e4uN2+pTfEqpk5RSy5VS25RS3yil7gi0P6qUylNKbQpsv2gNe2Z/tCMkTkFcHh+zP9rRGm8vxDGVlZV06NBBxElo9yil6NChQ4vPBrSFB+UF/ldrvUEplQysV0p9HDj3lNb6ydY05kCR65jaBaElEXESjhei8V1udQ9Ka31Qa70hsF8KbAPabC6ta5rjmNoFQRCE1qFNo/iUUlnAQODLQNN0pdTXSqkXlVLp9Vxzs1JqnVJqXX5+frNtmDGqJw6LuUabw2JmxqiezR5bEGKdOXPm0Lt3byZNmtRgv6SkJAD27NlDv379om5X8P2a20do37SZQCmlkoB/A7/VWpcA/wBOBXKAg8CfI12ntZ6rtR6stR7cqVOTsmfUYOzAbsy6MptuaQ4U0C3NwawrsyVAQogL/v73v/P+++/z2muvtbUpglCHNoniU0pZMMTpNa31WwBa60Nh558H3m0te8YO7CaCJMQd06ZN44cffmDMmDHceOONFBcXk5SUxN133w1Av379ePfdd2lMvssVK1bwyCOP0LlzZzZt2sSVV15JdnY2zzzzDC6XiyVLlnDqqaeyd+9ebrzxRvLz8+nUqRPz58/n5JNPZvfu3VxzzTV4vV5Gjx5dY+zZs2fzxhtvUFVVxRVXXMHvfve7aHwcQgzS6gKljCdpLwDbtNZ/CWvvorU+GDi8Atja2rYJQpvx29/Cpk0tO2ZODjz9dL2nn3vuOT788EOWL19Ox44defTRR5v1dps3b2bbtm1kZGTQo0cPpk6dytq1a3nmmWf461//ytNPP8306dOZPHkyU6ZM4cUXX+T2229nyZIl3HHHHdxyyy1MnjyZZ599NjTmsmXL2LVrF2vXrkVrzZgxY1i1ahXnn39+s2wV2gdtMcU3DLgOuLBWSPmflFJblFJfAyOAO9vANkEQmshZZ51Fly5dsNlsnHrqqYwcORKA7Oxs9uzZA8Dq1au55pprALjuuuv4/PPPAfjiiy+YOHFiqD3IsmXLWLZsGQMHDmTQoEFs376dXbt2teJPJbQlre5Baa0/ByLFI77f2rYEkUwSQpvTgKfTWiQkJOD3+0PHx7qmxWazhfZNJlPo2GQy4fV6I14THpocKUxZa819993Hr3/962OyRTg+iPtcfMFMEnlFLjTVmSSWbMxra9MEoVXJyspiw4YNAGzYsIHdu3e3+Hv87Gc/Y+HChQC89tprnHvuuQAMGzasRnuQUaNG8eKLL1JWVgZAXl4ehw8fbnG7hNgk7gVKMkkIgsG4ceMoKCggJyeHf/zjH5xxxhkt/h5z5sxh/vz59O/fn1dffZVnnnkGgGeeeYZnn32Ws846i+Li4lD/kSNHcs0113DOOeeQnZ3NL3/5S0pLS1vcLiE2UVrrtrahyQwePFg3t2Bh95nvEekTUMDuxy9t1tiC0BDbtm2jd+/ebW2GILQYkb7TSqn1WuvBTRkv7j0oySQhCIIQm8S9QEkmCUEQhNgk7sttBKP1WjqKTyIDBUEQmkfcCxS0fCYJqTElCILQfESgokBDkYGxKFDi7QmCEIuIQEWB9lRjSrw9QRBilbgPkogG7SkyUNaBCS3BSy+9xPTp04/a58CBA6HjqVOn8u2330bbNKEdIwIVYNukSZyYmsrfn3qqRrqXptCeIgPbk7cntG9qC9S8efPo06dPG1okxDoiUAAVFXy6ciX5JSXcetdd9OnYkafuv5/CwsImDdeeaky1J29PiA5jx47lzDPPpG/fvsydOxcwigE+8MADDBgwgKFDh3LokFEN55133mHIkCEMHDiQiy++ONQepLS0lO7du+PxeAAoKSkhKyuLN998k3Xr1jFp0iRycnJwuVwMHz6c4EL7Dz/8kEGDBjFgwAAuuuiiVvzphVhGnkEBS3YUsuDWl/mfTavps3oBy/Z/y12zZnH3rFkceuUVOl5zDZjNRx8ojPZSY2rGqJ41nkFB7Hp7xzO/e+cbvj1Q0qJj9umawiP/0/eo/V588UUyMjJwuVycddZZjBs3jvLycoYOHcof/vAH7rnnHp5//nkefPBBzj33XNasWYNSinnz5vGnP/2JP/+5urZocnIyw4cP57333mPs2LEsXLiQcePGMX78eJ599lmefPJJBg+umVQgPz+fm266iVWrVtG9e3cKCgpa9HMQ2i9x70GFksUWV7Kp+0D+75o/4bj9X8wcNoJL7HY6Tp4MPXpwZZ8+vBZWp+Z4oT15e0J0mDNnTshT2r9/P7t27cJqtXLZZZcBcOaZZ4bKZeTm5jJq1Ciys7OZPXs236Xh1UkAACAASURBVHzzTZ3xpk6dyvz58wGYP38+N9xwQ4Pvv2bNGs4//3y6d+8OQEZGRgv+dEJ7Ju49qEhBAvsdaSwbdR9ffTYc3nuXfX/+M4u/+ILF06fz3KOPcsf06Vw6YwYOp7NtjG5h2ou3dzzTGE8nGqxYsYJPPvmE1atX43Q6GT58OJWVlVgsllD5C7PZHCqXcdttt3HXXXcxZswYVqxYEbHI4bBhw9izZw8rV67E5/PRr1+/Bm3QWkcstSEIce9B1RcMcKTczfCnP+e5jP4kffQZe1es4P/97GfkFhQw/tFHSUpMZO5VV0E90xFLNuYx7PHP6D7zPYY9/pmU7xBikuLiYtLT03E6nWzfvp01a9YctX+3bsbNzMsvv1xvv8mTJzNx4sQa3lNycnLETOTnnHMOK1euDJX3kCk+IUjcC1R9wQDpTgsnptp5/IPtDP3jp/zlYAqjXnuHXUVF/GXiRDpZLFz85pvQrRsvnHMOz99zDzoQ/Sc1poT2wujRo/F6vfTv35+HHnqIoUOHNtj/0UcfZfz48Zx33nl07Nix3n6TJk2isLAwVCUX4Prrr2fatGmhIIkgnTp1Yu7cuVx55ZUMGDCACRMmNP8HE44L4r7cRu2FqmAECQSfw+z4sZTXvtzL4g15lFZ56dk5mYlnn8QVgzJJ3fktzJ3LCf/4B/lac47DwfRx43gp81J26uQ679UtzcEXMy9slr3C8cPxXG5j0aJFLF26lFdffbWtTRFakZYut9HqAqWUOgl4BTgR8ANztdbPKKUygNeBLGAPcJXWusE475YQKIAHl2xhwZf78WmNWSkmDjmJx8Zm1+hT4fbyzuYDvPblPr7OLcZuMXFpdleuGXISXTwFPHXrrSxZuZLvqqpIAAYndSTrsrtYfXI2BObXpcaUEM7xKlC33XYbH3zwAe+//35Uih4KscvxIFBdgC5a6w1KqWRgPTAWuB4o0Fo/rpSaCaRrre9taKyW8qBmvLkZj7/6c7CYFLPHD6g3cGBrXjEL1u5j6aYDlFV5Of2EJK4++2TGDujCf+b9g5tmPsBor4dX/V7WpZ7AnckdKLvktzh7nCYelBDieBUoIX5p9wJVxwCllgJ/C2zDtdYHAyK2Qmvd4GKclhConN8to8jlqdOe5rCw6ZGRDV5bXuXl3a8PsGDtfjbtL8JqNjGq34lkpjlYsHI7I7b+h30r5vNWeSEnAjd2P53pD91Hl2uvBYulWXYL7R8RKOF447gSKKVUFrAK6Afs01qnhZ0r1FqnR7jmZuBmgJNPPvnMvXv3NsuGrJnv1XtuzzFMx207WMLrX+1n8cY8il0eMhKteHx+issqSPnvqzh/+JKvDh3ADKQpxXe33UbaLbdAr17Nsl9ov4hACccbx03Jd6VUEvBv4Lda60Yvoddaz9VaD9ZaD+7UqVP0DDxGendJ4dExffny/ouYM3EgvbskU1rpxWyxMvBX9/LgR1+xcf1GLsrJwWmzkfbss9C7N3d17crHd94JJS2bRUAQBKG90yYCpZSyYIjTa1rrtwLNhwJTe8HnVIdbw5Z0Z+Sptvraj4bdYmbMgK7/n737DovyShs4/Dv0poLYKCoYCyDNXqNYYoluxBKNGo0aU3U1ZqPrxpqqfpoYN2aTjcnGTSNGo9hi1I2gxqhgFGyAqFjABgiIdJjz/THDBKSIMMgI576uuTLz1mcmOM+c8573OXw3vTsH5/VjVv82XEzMYFbQCSZvu0nnxV+z7dx15NWr3F66lNXXrzP4o48Y4+DA7v79Sdu6FapYrFZRFKU2eOgJSmhvGf8SiJJSflhk1TbgOd3z54CtDyOeJX9pj7lp8bvYzU2FQe7sb97QhjlPtOXgvH58+3w3+ns0YdMf8QR+coiB38ewoe+z/Py//bwQGEiohQVDQkKwDwxkkb09LFwIsbFVjkFRFOVRVRMtqF7AJKC/ECJC93gSWA48IYSIBZ7Qva52gR1cWDnGr1gtupVjyh7BV1FFK0k8/n8hJN3N4aNnOhC+cCDLRvngYGPBil+imfG/dDKHz+fT0DN89MFqWjg60s/DA5Yt48u2bRnVsCE3VqyASlZWf9BYVdWLuuWf//wnnp6eTJw4sdzt7OzsALh06dJ9SxcZQuH5KrvNpUuXEELw8ccf65fNnDmT9evXl3vMpUuX4uLigr+/v/6Rmppa4bgVw3rotfiklL+hvSWoNDVSZ9/QteiCTyQwd1MkeQXaASgJqVnM3RSpP9f4ri0Y37UFcUkZbDkez0/HE5i7JQlbCw/G/OtXLDu6UGCZzRe9e3HkyhVC5s9nwptvMqBLFwbOnk390aPBwsJgsaoZdeuuf/3rX+zatUtfqLU2adKkCWvWrOGll17C4gH+vcyZM4c33nijGiNTKqrOlzqqDm9tP6NPToXyCiRvbS9e+dm9kS2vD2rHwXn92PBid4b7OrPnzA0mfnGU3t/GMPxfP/PJV98zdPBg/iMEo48exXXCBHB2hhkz4PBhqOIoTDWjrpYxtCIDAgL0v/Dz8vIICAjg22+/BSAzM5OAgAA2bNgAaGviBQQEsHmz9hJuUlISAQEBbN++HYAbN27c93wvv/wyFy9e5KmnnmL16tUsXbqUVatW6dd7e3vrq5jfT2hoKH379mXs2LG0bduW+fPn891339G1a1d8fHy4cOECAJcvX2bAgAH4+voyYMAArly5AkBcXBw9evSgS5cuLFq0qNixV65cSZcuXfD19WXJkiUVige0JZQGDBhQas3AdevW0aVLF/z8/Bg9ejSZmZnlHuvDDz9k2rRpAJw6dQpvb28yMzNZunQpkyZNon///rRp04Z169ZVOD7l/lSCwvBfTimZJe+rKm+5iYmgWytHVozxJXzhQNZO6ICXU32+OnSZ/4uuz+0hb/JucDivzJzN1L/8BQYOJPeLL2jSsycz7e3JXrAAzp2rVKxqRt26Wzvxs88+w9nZmZCQEObMmVPl40VGRrJmzRpOnTrFN998w7lz5wgLC2P69On6rraZM2cyefJkTp48ycSJE5k1axYAs2fP5pVXXiE8PJxmzZrpj7lnzx5iY2MJCwsjIiKCP/74gwMHDlQ4pvnz5/PBBx9QUFD8R9ioUaMIDw8nMjIST09PvvzyS/261atX67v3+vXrB8Brr73G+fPn2bJlC1OnTuXf//43NrrZDE6ePMnOnTs5fPgwb7/9drFZg5WqqfPTbRhbF5eVuSnDfZ0Z7uvM7Yxcdp68xpYTCXz82zWwfYKuTzbkW39nmkyayp3A4Xxy5w7fvv8+I99/H/smTVj417/i+Pzz4ORUofM521uTUEoyqksz6pbXinyYfwOhoaH65+bm5sVe29jYFHvdoEGDYq8bNWpU7HXRL/mHpUuXLjjp/u4ee+wxBg3S3uju4+NDSEgIAIcPH9a3+iZNmsS8efMAOHToED/99JN++d//ri0is2fPHvbs2UOHDh0AuHv3LrGxsfTp06dCMbm7u9O1a1e+//77YstPnz7NwoULSU1N5e7duwwePFi/rrQuPhMTE9avX4+vry8vvfQSvXr10q8bMWIE1tbWWFtb069fP8LCwggMDKxQfEr5qpSghBAOQPOix5FSHq9qUA9TdXw52Vubl1md4kE0tLVgUg83JvVw40pyJtsiEwiOuMbC4NOYmQjGfnYA95w4Yv/3E0HbtpJz6xbtFi3i5SVLSOrdG5tnnsFm/Hiwty/zHGpGXdWKLGRmZoamyC0O2dnZD7S/paWl/rmJiYn+tYmJiX4+qXsVnQeqtDmhpJT84x//4KWXXnqgWIp68803GTNmTLGkNmXKFIKDg/Hz82P9+vXFkntZYmNjsbOzK9FCujduNbeV4VS6i08I8Q5wEvgn8IHusarcnYxQdXw5LX2qPeYm9wxdNxEsfaryQ9dbONows38b9s7pw8+zHuf5x925kJjFf6804A+v6Tz7WQjTXl/EsxEnYeFChh09Sv1XX2WloyM3hwyBH3+EUvrZ1Yy6ZbcW61IrEsDNzY3jx7W/L48fP66fn8mQevbsyQ8//ADAd999R+/evQHtJIdFlxcaPHgw//nPf7h79y4ACQkJ3Lr1YLdIenh44OXlxY4dO/TL0tPTcXJyIi8vr9j5ypKWlsbs2bM5cOAAycnJbNq0Sb9u69atZGdnk5ycTGhoKF26dHmg+JSyVaUFNRZ4TEqZa6hgakJ1dHEVfrmv3B3DtdQsnO2tmTu4nUG+9IUQeDnXx8u5Pn8f7MHxKynsOHmdHSevk2Teja4/JTDQMxD3Z29zdesPzEtK4h+7d+OyezddTU3ZOHYsPPMMDB4Mul+4dX1GXdWK1Bo9ejRff/01/v7+dOnSpVoqkf/zn/9k2rRprFy5ksaNG+unhl+zZg0TJkxgzZo1jB49Wr/9oEGDiIqKokePHoB2aPm3335LkyZNHui8CxYs0HcTArzzzjt069aNli1b4uPjU2wixdWrV+sHpwAEBwfz9ttv8+qrr9K2bVu+/PJL+vXrp2+Rde3alWHDhnHlyhUWLVqEs7Pzg38wSqkqXYtPCPET8IqU8qFUfCjNw5gP6lFRoJEcuZjMjpPX+eX0dVIy86hnaUaHenfJiw5l+3df0NLamjMmJsjkZF4xN+fVIUPwfeUVGDiwzhevDT6RUC0/KMqjavE9+pYuXYqdnZ0alq5j6Fp8VWlBLQNOCCFOAzmFC6WUT1XhmA9ddbZ2HiZTE0Gv1o3o1boRb49oz+8Xktl58hq7z9wkrdEQ3OYOo2+reuzp6Ebu1q/49+JF/Hf7dsZt306gjQ3X3DtypP0gLvl24/Un2z9y77+q6norUlGMUVVaUGeAfwOn0E48CICUcr9hQrs/Q01YWJvlFWg4dD6Jn09dZ8/Zm6Rm5mFjBi3unCbn/BHCQ3aTka3t4lwLjLeuz//a9sDlxcn0euHpOt+yqk6qBVV1p06dYtKkScWWWVpacvTo0RqKqG4zmuk2hBD7pZR9K7WzgagE9WDyCjQcuZisTVZnbpKckQv5edyNPkD6sW2M6jKScRfD+SbqIL9JDV/Z2TF4zBhMx46FAQMMVr1C0VIJSqltjClBfYi2a28bxbv4Htowc5WgKi+/QEPYpdtMWFfyl2biT++QdSEMKSVNhaCNlHSysOCjceNg9GgYNAis69YIt+qgEpRS2xjTNajCITHdiyyTgJrT/BFgZmpCz8ca4VLKKMbGoxehyc3C+U4UebGH+P3gXs6ZmPDRjh3wzTe8a27O0wMG0G7KFHjySahXr2behAHVxCAJRVHKV+kEJaXsZ8hAlJpR2hBrSzMT+rV35/LtpkQ16ohLpxdobpnJysc70fbCYRbNms57v/zC+F9+YaSZGc179MDvuecQI0ZAo0Y1+G4qx9iqiSiKolXpBCWEWFzacinl25UPR3nY7jeK8ertTPaevcmeszf47LdL5Oc2xC1wDpbXT/LjqSN8lZkBBw8y7+BBVrz4Ivm9e2MyYgQmo0aBm1sNvrOKM5ZSR4qiFFeVYrEZRR4FwFDAzQAxKQ9ZYAcXDs3vT9zyYRya37/Yl3LzhjZM6+3ODy/24NiCgaye0IUhoydiOugNHF/9FpfRb9K0rT+Oq9aT+OYS5pw+jc3f/sYyd3dueXvD0qVw4kSVq65Xp7pc6kjNB1Vc0fmgvL292bZtW7H1fn5+jB8//r6xKYZRlS6+D4q+FkKsQjtgQqmlHGwtGNXRlVEdXcnJL+DwhWT2nn2MfdH9+VdiNp+KRph1Goo8sJk3c7JYcOYMbmfO4PDWWxxxdcV85Eh46ino08eoRgTW5YK5aj6okgqLxUZFRfH4449z69YtTExMiIqKQqPRcODAATIyMrC1ta3G6BUwbDVzG6CVAY+nGDFLM1MC2jUhoF0TpJScuXaHX6Nu8avLy+R2eIa8xDhMLodz6/gubmZnkNepK+ZffMGEjz+mtYUFS0aMwDQwEIYOBQeHGn0vcwe3Y+7GSPI0f7byzE3EQy91FBAQUGLZ2LFjefXVV8nMzOTJJ58ssX7KlClMmTKFpKQkxowZU2zd/QqgFp0Patq0aaSlpRWriuDt7c2OHTtwq0BXbWhoKEuWLKFp06ZEREQwatQofHx8WLNmDVlZWQQHB/PYY49x+fJlpk2bRmJior7UUYsWLYiLi2PChAnk5+czZMiQYsdeuXIlP/74Izk5OYwcOZK33nrrvvGAdj6oXr168d///pcXXnih2Lp169bx+eefk5ubS+vWrfnmm2/002cU8vT0xMzMjKSkJJo0acL333/PpEmTiIqKYtu2baol9RBUpVjsKSHESd3jDBADrDFcaMqjQgiBt0sDZg9sw7aZvQlfOJCPXg1k+JTZtPzrNzi+8g3+3tN59oPdbDAx4Z3cXJw2bWLqxIm83LAhxzp2hA8+qPScVoZ5E/d5XQup+aBKnw+q0NGjRzExMaFx48YAbNiwgXHjxjF+/HiCgoIe+PNRHlxVWlDDizzPB25KKUuvqX8PIcR/dPvfklJ665YtBV4AEnWbvSml/LkK8Sk1pEk9K8Z2bs7Yzs3JzdcQfuk2v0bdIvTcLZxnfkfm+aOIaycJijlKTlYGUedi2f/GG2S88QYbmjThmbFjsQkMhMcffyhdgSt3x5Q6A3JNzgd1r3vng7rXvfNB1YTaMh9UYbHYevXqsWHDBoQQhIeH07hxY1q2bImrqyvTpk0jJSUFhxpu/dd2VbkGdVkIYQo01R3HWQiBlPJKBXZfj7ayztf3LF8tpXzkpuxQymZhZqKvEbgYLy4nZxAS3Y3Qc4n8fu4mKdFHuNSwKc919CNzx6ds+mUDS9auZcLatfS1tsajTx9ajR2rvd+qmibhq8uDJIpS80FplTZhYVBQENHR0fruzjt37vDTTz8xffr0Ssel3F9Vuvj+CtwE9gI7dY8d5e6kI6U8ANyu7LmVR1dLR1um9HJn/dSunHz7STYun83UEQO4mi35vcUT2PkN5o67L6tMTBmWlcVju3ezVzdDcKq/P/kLF8KRI3BPl01VqPmgtNR8UKXTaDRs3LiRkydPcunSJS5dusTWrVtVN99DUJUuvtlAOyllsqGCAWYKISYDx4C/SSlT7t1ACPEi8CJAixYtDHhq5WGzMv9zoAXA1dtdCT03kAPnEvnt7BVunfgfGVEH+XTGSs5mJvDp6je48N57zHvvPYbXr0+HwYOx+stftHNbPeD8QEWp+aC01HxQpTtw4AAuLi64uPzZ3dunTx/Onj3L9evX9d2aiuFVpRZfCPBERa87lbK/G7CjyDWopkAS2nJJ7wBOUspp5R1D1eKrvfIKNBy/nMLB2CQOxiZyMiGN5L2fk33+CPl3kpBSgxnQHLgoBHTqhBw8GDF0KHTrBmYP9ttLzQelKFVnTMVivwTaoe3aK1os9sMK7u9GkQRV0XVFqQRVd9zOyOX3C0kcPJdEyMmLxEUe5k54MNZW1rw8YQ49Tx3k2W1f4gsssbHh8UGDsHrySW3rykhb2ipBKbWNMRWLvaJ7WOgeVSKEcJJSXte9HAmcruoxldqjoa0Fw32dGe7rjBztQ1zSQA6df4WDsUnsvJjMdy0CyLTbwu8ZqQzKzMRi6zYsgoP5G7DUw0NbgX3QIAgIAHWDZa2h5oOq3SrdgqrSSYUIAgKARmgHWizRvfZH28V3CXipSMIqlWpBKaCdOuRUQhq/X0gm5NQVDh86SFrUb2RGH6Rd96d4oZUn+b98x6qbF/iriQnTu3XDafhweOIJ6NgRTE1rJG7VglJqG6Pp4jMGKkEZRm2baiI7r4Bjl1I4dCGJ388ncSohjZTDG0k98A1I7TBqJ1NzrAvy2Fa/Pu0HDeJEu868n+vCMRMHdQ1KUSrJmLr4lFqgNk41YWVuSu82jejdRjv1x53sPMLjOvNb7BvsOXiUqGO/kXQ6hLzkK7w1/l16Xojgfx8u42pWGu/Z2JPXqhMHwzpjMWM8Tw7wq+F3oyh1l2pB1XG9lu8rtVCqi701h+bXzrknUzJyORp3m99jbxJ2OY3oG+lc/+8ccm/EAmBmYkoTYYJnQT7/8/XRTnffv7+2yG39+gaLQ7WglNqmxltQQoiP0V4nKpWUclZlAlFqRl2souBga8EQ72YM8dZWpnCbvxOn51ajyckg++ppsi+f5MbpX7lpXY+xvV+l24kjfPzxGLw1+Szx9KDD8OGYDRwIPXvCPQVGFUUxnMpUkjgG/FHOQ3mEqCoK2tYigImlLTatu9FwwAs0n/0D7V77hmzP9nzc6S9cEYKdmgK6njmD3aoPaTB4KLPtHbWtqsWLISQEHrA00IMKPpFAr+X7cJ+/k17L9xF8IsEgx92yZQtCCKKjow1yPNCWEnJ3d8ff3x9/f38iIiLK3FZKyaxZs2jdujW+vr76ahZFpaen64/l7+9Po0aNeO211wBt0VsfHx/8/f3p3bs3Z8+eLfNcQ4YMISFB+7kFBQXx3nvvFVsfGhqKEILt27frlw0fPlxfCunXX3+lY8eO+nOdP39ev92PP/6Il5cX7du3Z8KECWXGoNFomDVrFt7e3vj4+NClSxd91Q43Nzf9e/H39+f3338H4MqVKwwaNAhPT0+8vLy4dOlSieMeOHCAjh07YmZmxqZNm4qtmzdvHu3bt8fT05NZs2ZRWs/Z+vXruXbtWplxF3r//ffvu43BSCmr9ADqAXZVPU5lHp06dZJK1Ww5Hi89Fu6SLf++Q//wWLhLbjkeX9OhPTT3+wzSs/Pk/phbclHQQdl9+juyvu9AKcwspK3PQNl/5ldySo9x0sbEVI6ztJUH/f1l9oIFUu7bJ2VmZrnnPXv2rMFirIqnn35a9u7dWy5ZsuSB983Pzy91+XPPPSc3btxYoWPs3LlTDhkyRGo0Gnn48GHZtWvX++7TsWNHuX//fimllGlpafrlW7dulYMHDy51n8zMTNmlSxf968mTJ8tjx44V2yYkJES6urrKbt266ZcNGzZMhoSESCmlbNOmjf7/2yeffCKfe+45KaWU586dk/7+/vL27dtSSilv3rxZZuzff/+9HD16tCwoKJBSSnn16lX9fi1btpSJiYkl9unbt6/cs2ePlFLK9PR0mZGRUWKbuLg4GRkZKSdNmlTssz906JDs2bOnzM/Pl/n5+bJ79+7693PvOcLDw8uMu5CtrW2Z60r7mwaOyUp+x1elFp+3EOIE2vuVzgoh/hBCtDdM2lQelsAOLiwb5YOLvTUCbWti2SifR3aARGXc7zOwszSjT9vGvP1Mbw6vW8jNY79wNPY6K9b8ixYdvfhfs5ZkmZixISeDxyMisFm2HKuBT/BB87bk9Q1ALlwIe/dCRkalYyxvWvqquHv3LocOHeLDtZ/y9bffczI+lejrd9j+y1769OnDyJEj8fLy4uWXX9YXkrWzs2Px4sV069aNw4cPV+n8AFu3bmXy5MkIIejevTupqalcv172HSaxsbHcunWLxx9/HID6Ra4LZmRklFp0FrSto8I5t6SURERE0LFjxxLb+fn50aBBA/bu3VtinRCCO3fuAJCWloazszOgnV9qxowZ+urm5ZViKiyPZGKi/fp1dXUttyr62bNnyc/P54knngC0n/+9c1eBtvXl6+urP27RmLOzs8nNzSUnJ4e8vDyaNm1abJtNmzZx7NgxJk6ciL+/P2lpabRr146YGO3f1/jx41m3bh3z588nKysLf3//+87CbAhVGcX3OfC6lDIEQAgRAKwDehogLuUhCuzgUqcSUmke5DOwMjeli1tDurg1BEDzXBfO3VrAvogL7NobwuE9W7l9LpwPnprPOkcXsr97i4RlyxlSz5Gxzo0ZENAH52HDoAITARaqrmuFwcHB9Bs4COtGzalvb0/UqUg8ffxISs8hLCyMs2fP0rJlS4YMGcLmzZsZM2YMGRkZeHt78/bbb5d77AULFvD2228zYMAAli9fXqzaeVEJCQk0b95c/9rV1ZWEhIQya9wFBQUxbty4Yonok08+4cMPPyQ3N5d9+/aVut+uXbsIDAwE4MSJE/j5+ZWZzBYuXMjChQv1SaHQF198wZNPPom1tTX169fnyJEjAJzTzWXWq1cvCgoKWLp0aYmJFwuNHTuW3r17c/DgQQYMGMCzzz5brE5gv379MDU11d9wfO7cOezt7Rk1ahRxcXEMHDiQ5cuXY1rB+/d69OhBv379cHJyQkrJzJkzSwxkGDNmDGvXrmXVqlV07qwdz7B27VqmTJnC7NmzSUlJ0U/6uHbt2nK7bA2p0i0owLYwOQFIKUMBdYu+UueYmAg8mtXn1SEd2P7B6ySd2s+1W7dZ99ooxvdpg3krTzSWtuy4m8LkqDO4fPoppn95irs3EsmKPkf2xYvI5GTIzS3zHNV1rTAoKIh+Q0egkZLBT41m11bttQsN4O3fiVatWmFqasr48eP57bffADA1NS1W0LU0y5YtIzo6mvDwcG7fvs2KFSvK3FaWcj2krMQB8MMPP5SYzXbGjBlcuHCBFStW8O6775a636FDh/TV03/55ReGDh1a5jkKW2cHDx4stnz16tX8/PPPxMfHM3XqVF5//XUA8vPziY2NJTQ0lKCgIKZPn05qamqpx3Z1dSUmJoZly5ZhYmLCgAED+PXXX/XrQ0JCiIiI0FfDyM/P5+DBg6xatYrw8HAuXrzI+vXry4z9XufPnycqKor4+HgSEhLYt29fhSZ9fOKJJ/Dx8WHGjBl88cUXFT6fIVUlQV0UQiwSQrjpHgsBw9fnV5RHULMGVgzzdWLJX9oT++v33E29zf5Tl/jbxxt4rMcQrJq1JtW6PrF2TTidmsofcXGcORvNpZOnSYyJIf/mTcjKAt2X99zB7bA2L/6LuaoV15OTk9m3bx+L3vgrQ3v48t/P/snu7VtKTRjwZ9KwsrK67693JycnhBBYWloydepUwsLCytzW1dWVq1ev6l/Hx8fru87uFRkZSX5+Pp06dSp1/TPPPENwcHCJ5RcvdgSn9QAAIABJREFUXqR58+ZY6CbA3LNnj35CxbIsWLCg2CCKxMREIiMj6datGwDjxo3TD2JwdXVlxIgRmJub4+7uTrt27YiNjS3z2JaWlgwdOpSVK1fy5ptvlhpzIVdXVzp06ECrVq0wMzMjMDCw1IEkZdmyZQvdu3fHzs4OOzs7hg4dqm/5lUej0RAVFYW1tTW3b9fM7EhVSVDTgMbAZmCL7vlUQwSlKLWNtYUpfTydWTVzLOd/38XdhGia1bekeUMbbOrZY2phRbaUJOVmczk9ncj4BK7EJ5EUc5ErZ84y0LGAZU+2xsXeymDXCjdt2sTkyZPZF36GXYdPsifsDC7NW3IiTHtd6XSkdk4ojUbDhg0b9K2Piii8hiSlJDg4GG/vsus+P/XUU3z99ddIKTly5AgNGjQot3vv3tZT0USwc+dO2rRpU2K/Xbt26bvc0tLSyM/Px9HRsdz3MGjQIFJSUoiMjATAwcGBtLQ0fXfe3r179V1lgYGB+lmDk5KSOHfuHK1atSr1uMePH9ePltNoNJw8eZKWLVuWGUeXLl1ISUkhMVE72fi+ffvw8vIqN/aiWrRowf79+8nPzycvL4/9+/eXev9dvXr1ik07snr1ajw9PQkKCmLatGnk5eUBYG5urn9e7So7usIYHmoUn/Iou3fEU0GBRqbezZIxFy7Js7GX5Nn4FBl5OUmGh4fL8PBw+ccfx+WpiJPybMRJmRh7QWpu35YyJ6fS5+/bt6/ctWuXvJ2RI0/Fp8rIqyly3lvL5dPPTpX/+XG7fLxPgBw7dqz09PSUL730kn7UWXmjuAr169dPent7y/bt28uJEyfK9PT0MrfVaDTy1Vdfla1atZLe3t7FRpL5+fkV29bd3V1GRUUVWzZr1izp5eUl/fz8ZEBAgDx9+nSJcwwfPlzGxcVJKaXcuHFjmSMWQ0JC5LBhw/Svt27dKgH9qLfNmzdLb29v6evrK/v27SsvXLigfw9z5syRnp6e0tvbWwYFBZX5fnft2iU7duwo27dvL9u3by+nTp0qs7KypJRlj+Lbs2eP9PHxkd7e3vK5556TObr/74sWLZJbt26VUkoZFhYmXVxcpI2NjWzYsKH08vKSUmpHWr744ovSw8NDenp6yjlz5uiP+/zzz+s/702bNsm2bdtKPz8/GRERIT08POSdO3eklFLOmTNHLl68WEop5bx586SHh4ecMGFCiTgNPYqvKtNtdAbeBNwoMthCSulrgLxZIaqShPIoq0gliZy8fG4lJpOZmUVOTjZ5OVlITQEmVnZY1m+CRfZdMjNu08DKmkb162Fr3wBhbQ0mD9Y5kpKZy820bHILNFiYmhAbeZR/r11TbBbaR1VOTg69evWi8Lti+vTpTJ8+ne7du9dwZLVPjVeSKOI7YC5wCu01VUVRDMzS3Izmzn8OCZZSknrnLrkFkJcvSc3WkFeQT1JGOkkZ6XDjBiaAo10DHGxtsLaxwryeHZibl3seBxsLHGz+nDXnRkz52z9KLC0tKfpDtqYu+CsPrioJKlFKuc1gkSiKcl9CCBwa1NO/dm1Sn/z85qTdzeBOWjrpd1LJzcki1dyWNKzIv34TzcWLWFhYYmtuia21JQ72DbCsX6/cVlZAQID+nqHyjBw5Ul8FodCKFSsYPHhwiW2/+uor1qxZU2xZr169+OSTT+57nkeRmquq6qrSxTcAGA/8SvEZdTcbJrT7U118yqMsKioKDw+PcodUV1aBRpKVk8f1hATS76QiAan580Zfm0YtsEGDzMvC0twMq3r1uZUr9F18TRtYFWtRKcr9SCmJjo42mi6+qYAHYM6fXXwS7ag+RVHuw8rKiuTkZBwdHQ2epExNBHbWFrRp7a5flp2Tw40bN8m4exc7MxOyNKakp18HTQEk3cLEzAITIcg3NeN2tj0aezsa2ttWSwJVahcpJcnJyVhZWRn0uFVJUH5SSh+DRaIodYyrqyvx8fH64cMPi4mJICNde04hJSl3MkBKNAX5aDT5IASm9TLhOmjuJmvvZ7KwxNLCAmsba8zNzVTSUkqwsrLC1dXVoMesSoI6IoTwklKWXTpYUZQyFd7UWdPc5+/Uz5+jyctGJMXjYRqLQ0YawcHvkZefp01cOtbNvek/+g087EzISYll5MRxdPJvSwPr2jOwQjEOVUlQvYHnhBBxaK9BCUBWZJi5EOI/wHDglpTSW7esIbAB7bD1S8BYKWVKFeJTFKUCnO2t9ZNWmphbgVNrYtDeDJy9IZOCggLOnzzFzu838s9v/otrgwY4pCax65aGs9+/w9pP3sWsoQsNGjWnvplkyJBRDBsdiGcbJ1o62mJq8mi0toJPJLBydwzXUrNwtrdm7uB2db5GZU2ryiCJUm99llJersC+fYC7wNdFEtT/AbellMuFEPMBBynl38s7jhokoShVF3wigX9sPlWsWrq1uel9K1VcP3uWN+fOJzkxhUs3E7lwK4HM7LvU7/AkDoNeJeviH9z+5WNcWvvj79uZ7r178njf7ng5N8DB1rgGYFT2M1DuryqDJGpsynchhBuwo0iCigECpJTXhRBOQKiUstxCYypBKYphGKL1kJ+fz9G9e2mWnELm5URWbdvON+HayuJ/fs8IGo2Yh7tHNxqlx2Fvns3gESPo2MaVNk3tsDKvWIVuQ+u1fJ++FVmUi701h+b3r4GIao+aGsVnaE2llNcBdEmq1AlVhBAvAi+CtsaUoijGwczMjF5FKoT/d8Fs1ktJ9s2bnN2+na9/2Mim8HBm3o0n8Uwe35z4maSEaILWLMC0QVPM6jlia2XNX6Yvwte3DW1d7GnbtB7ujWwxN61K2dD7q67pTJSqMaYEVSFSys/RzkVF586da6b5pyi1SPCJBOZujCRPo/3nlJCaxdyN2gKpVe3eEkJg3awZnV54gU4vvID+Nt3sbMZ858V3332HdVY+4VfiCb9xntv5uVyKucqBZMG1oDfJTbqMXeuuNHN2o1XrVnTr2Zvuvm1p07Qebo42mBkocRW9DnfvcqXmGFOCuimEcCrSxXerpgNSlLpg6bYz+uRUKE8jWbrtTPVdf7Gyoufzz9Pz+ef1izT5+Vw5eBC3pCSyT4QxtCCN4/m5yHOHiT29j9g9sPszM1rO1U5NkbLnE+ytregQMJjOHf3o0KYlbZra4eZoi4XZgyWufh6N+fbIlVKXKzXHmBLUNuA5YLnuv1trNhxFqRtSs0qfOqGs5dXFxMwMt379ALB6+mlC3tdNPJiURPLBg3z6+edcv3yFl458yvnUXMad2scdTQFXft/CVkCYWWDh1BaXCctpaW+J7Z2LdPDzwb9Nc1o3seOxxnbYWpb+lbfzZOlTzO88eZ13A9XtnjWlRhKUECIICAAaCSHigSVoE9OPQojngSvA0zURm6IoRqZRIxxHjmThyJH6Rb55eVw7epTYX38lPSqKiFOn+fBcLE2T45n8+w/EODjzxbb/YwdgYmuPuWMLQOLcYQC9/vIMjzW2o1VjW1o3saN1YztSMktPxmUtVx6OGklQUsrxZawa8FADURQFBxvzUr+IHWyM+MZbc3Ma9+5NY90kioOBvwOkpsLp02QfP47JeS/k7RRS7mYRefMCsTkZFGTeIbVRa74TZpz/cgZmDZ2xcvHErKELptYNsHqsE2a2DjX5zpQiamyYuSGoYeaKUnXBJxJ4/ccIil6GMhHw4Vj/2nEPkJTI+HiuHzgAMTE4X7lCeFgYw2NisDU1J0lK0vNzAXD07o/dsNfJunKKlP99hlVLP5za+NC6TTv8vT1p69II90a2uDeyxdne+pG5Cbkm1ZZh5oqi1BBTE4GmQBZ7XWsIgWjeHOeJE/WLugA3NRq4dAnOnOHLdRvZ9nsoE67F8MSa8bxnasaHGSnkJV4m/dg2zgE/Aw2HvkY934FkxZ0gN+4Ybr7d8Grvg1dbd1o3qYebozZ5Na5nqeoVGoBqQSlKHaduUi3+GZhoCnBNu4X7jfP4ZlxnkE0KW48d44cbN/jMyhazRm7MSrtF+J0iA41NzTAxs6TZpA8wd3TFJOk8jSzBx9eXdi2dcGtki5ujLW6ONnUueakWlKIolaZuUqVYgtaYmHLFwYkrDk7sB/62fBg+wEKNBq5ehagodoSF8b+QEJolJnIuLo6NmZkcLsjnP3s/5UazVvzj3BHCU64TDphY1cPEpj4mFjY0m7QKWysLmphm0srJkTbNm9CyoTZxtXC0wamB6jYsSiUoRanj1E2qYCoEBaX0JpkWbemYmEDLltCyJU2GDGHC4sUA9AdeTkyE6GiIioLoaOrlXmJPXjpt794lOjudrTkZpEjJO39s5FKLdvzfT6vZn34bUxt7zBycEOZWmDk44TR0Jq4O1rjUN6VVUwdaONrSsqENLR1taN7QpsZKQdUUlaAUpY6bO7hdqYVS5w4utxRmrVJacipveQmNG2sfjz8OwCjdg6wsOH+ez6OiuHvyJHaXLsHpraRlp3MKaJGZypmcDP4oyIerp5na5XEuFzjxn8Uzyc/LxbyxO2YOzRAmZli6etL68RG0aKhNVi10j8Lnje0sMalC68sYq7mrBKUodVzhl5CxfTk9TC5ltCJdqtqKtLYGHx/w8cFu7Fj94g+khBs34Nw5iIkhMSKC21FRtAv9Ci5eJCY/n3TA9uZ5zifGcS0/F/O4Y/Tp2InLBQ6smf0MwsIGC6e2mNk3AxNT6rfuTLsO3Wne0IbmDja4OljrnzdvaE0Da/Myr33dW809ITWLf2w+BVS93FVVqEESiqLUeUY13UZ+vnZ0YUwMxMZCbCxHwsPJv3qV3jdvUiAl7oAdkG9uyZWCfHI0Bbg0a8nwv64mLs+Eve+Oxcy+GRbN2mDWoCmYmtHYsyetPb1wdbDWPWz0z6evP8b1O9klQjHEQBk1SEJRFKUKjKoVaWYGrVtrHzrdC59kZ2N68SJXYmPh/HmIjSUvOpofTp3C9cZl+i0YxUWgE+B4O4H0Oze5lZsDgFNSFM5t3uJU+En+8/lczBxbYNG0FWb1HBEWNli36Y55g+KTSNT0QBnVglIURakNcnLg4kW4cEH7OH8ezp8nMSaGry9fppdGQ3dgFzAGaGZhQTKQlqu9SdnFbzAN+j1PprkV0kRbbFe1oBRFUZSqs7QET0/to4jGwN8KCrRD5C9cYOiFC2QUJrGLFzl/7hxBGRk8Hbkbj8jdAPR45Suu129c49XcVYJSFEWp7UxNwc1N+xhQvORpayk5tGQrYZcv0SL1Bi3SbnDTriEAIdGJDz/WIlSCUhRFqcuEICbXHOnUhlNObYqtqulrUNU7j7KiKIpi9Mq6Kbumb9ZWCUpRFKWOmzu4Hdb3VKkwhpu1VRefoihKHWdUw+yLUAlKURRFIbCDS40npHsZXYISQlwC0oECIL+y4+cVRVGUR5vRJSidflLKpJoOQlEURak5xpqgFEVRlIfIGKuZG+MoPgnsEUL8IYR4saaDURRFqe0Ki+UmpGYh+bOaefCJhBqNyxgTVC8pZUdgKDBDCNGn6EohxItCiGNCiGOJiTV7l7OiKEptsHJ3TLFK7gBZeQWs3B1TQxFpGV2CklJe0/33FrAF6HrP+s+llJ2llJ0bN67ZOlGKoii1QVkVI1QliSKEELZCiHqFz4FBwOmajUpRFKV2U5UkKqYp8JsQIhIIA3ZKKX+p4ZgURVFqtbmD22FuWny2XXNToSpJFCWlvAj41XQciqIodc69UwMawVSBxtaCUhRFUR6ylbtjyNMUz0h5GqkGSSiKoig1Sw2SUBRFUYySGiShKIqiGCU13YaiKIpilNR0G4qiKIrRMsbpNlQXn6IoimKUVIJSFEVRjJJKUIqiKIpRElIawe3ClSSESAQuG/CQjYBHZaJEFWv1ULFWDxVr9XgUYm0ppaxUZe9HOkEZmhDi2KMyxbyKtXqoWKuHirV6PEqxVobq4lMURVGMkkpQiqIoilFSCaq4z2s6gAegYq0eKtbqoWKtHo9SrA9MXYNSFEVRjJJqQSmKoihGSSUoRVEUxSjV2gQlhBgihIgRQpwXQswvZb2lEGKDbv1RIYRbkXX/0C2PEUIMrugxjSVWIURzIUSIECJKCHFGCDHbWGMtss5UCHFCCLHDmGMVQtgLITYJIaJ1n28PI451ju7//2khRJAQwqomYxVCOOr+Lu8KIdbes08nIcQp3T7/FEKIe49rDLEKIWyEEDt1///PCCGWGyLO6oj1nn23CSFOGyrWh0ZKWesegClwAWgFWACRgNc927wKfKZ7/gywQffcS7e9JeCuO45pRY5pRLE6AR1129QDzhlrrEX2ex34HthhrH8DunX/BabrnlsA9sYYK+ACxAHWuu1+BKbUcKy2QG/gZWDtPfuEAT0AAewChhpjrIAN0K/I//+Dxhprkf1G6f5tnTbEv62H+aitLaiuwHkp5UUpZS7wAzDinm1GoP2yAdgEDND9ahsB/CClzJFSxgHndceryDGNIlYp5XUp5XEAKWU6EIX2C8voYgUQQrgCw4AvDBBjtcUqhKgP9AG+BJBS5kopU40xVt12ZoC1EMIM7RfrtZqMVUqZIaX8DcguurEQwgmoL6U8LLXfqF8DgcYYq5QyU0oZonueCxwHXI0xVgAhhB3aH3/vGiDGh662JigX4GqR1/GU/ILWbyOlzAfSAMdy9q3IMY0lVj1dN0AH4KgRx/oRMA/QGCDG6oy1FZAIfKXrjvxCCGFrjLFKKROAVcAV4DqQJqXcU8OxlnfM+PscszKqI1Y9IYQ98Bfg1ypHWn2xvgN8AGQaIMaHrrYmqNL6r+8dT1/WNg+6vKqqI1btTtpfTz8Br0kp71Q6wvvHUZFtSl0uhBgO3JJS/lHV4CoYR0W2KWu5GdAR+FRK2QHIAAxxLbI6PlcHtL+43QFnwFYI8WyVoiw/jgfdpirbV1R1xKrdSdsqDQL+KaW8WInYShyyAnE8UKxCCH+gtZRyS1UCq0m1NUHFA82LvHalZPeGfhvdH1sD4HY5+1bkmMYSK0IIc7TJ6Tsp5WYDxFldsfYCnhJCXELbrdFfCPGtkcYaD8RLKQtbo5vQJixjjHUgECelTJRS5gGbgZ41HGt5xyzaTWYM/7bu53MgVkr5kQHiLBaHjiFi7QF00v3b+g1oK4QINVC8D0dNXwSrjgfaX7oX0f56LLzg2P6ebWZQ/ILjj7rn7Sl+0fki2guY9z2mEcUq0Pbjf2Tsn+s9+wZguEES1RIr2ovi7XTPlwIrjTFWoBtwBu21J4H22sVfazLWIuunUHKQRDjQnT8HSTxpxLG+i/bHn4kx/NsqL9Yi69x4BAdJ1HgA1fbG4Em0o9cuAAt0y94GntI9twI2or2oHAa0KrLvAt1+MRQZoVPaMY0xVrQjeiRwEojQPar8D766Ptci6wMwUIKqxr8Bf+CY7rMNBhyMONa3gGjgNPANYGkEsV5C+6v/LtoWgZdueWddnBeAteiq3BhbrGhbNhLtwKPCf1vTjTHWe47txiOYoFSpI0VRFMUo1dZrUIqiKMojTiUoRVEUxSipBKUoiqIYJZWgFEVRFKOkEpSiKIpilFSCUpQK0lUyf7XIa2chxKZqOlegEGKxAY+3SgjR31DHU5SHQQ0zV5QK0tU13CGl9H4I5/od7f0vSQY6XktgnZRykCGOpygPg2pBKUrFLQceE0JECCFWCiHcCufYEUJMEUIECyG2CyHihBAzhRCv64rKHhFCNNRt95gQ4hchxB9CiINCCI97TyKEaAvkFCYnIcTTQjunU6QQ4oBumakuhnAhxEkhxEtF9p+nm1spsnC+IinlZcBRCNGs2j8lRTEQs5oOQFEeIfMBbymlP+hbVEV5o60cb4X2bv+/Syk7CCFWA5PRVm3/HHhZShkrhOgG/Au4t+utF9ppHAotBgZLKRN0FbQBnkdbobyLEMISOCSE2AN4oJ2qopuUMrMwMeoc1x37p0p/AoryEKkEpSiGEyK182+lCyHSgO265acAX111+Z7ARvHnhLGWpRzHCe20HoUOAeuFED+iLfoKMEh3zDG61w2ANmiLxH4lpcwEkFIWLSZ6C21lc0V5JKgEpSiGk1PkuabIaw3af2smQGphC6wcWWgTDgBSypd1ra1hQIRuGgWBtvjr7qI7CiGGUPYUDFa6YyvKI0Fdg1KUiksH6lV2Z6mdkytOCPE0gNDyK2XTKKB14QshxGNSyqNSysVAEtopF3YDr+imVUEI0VY3eeIeYJoQwka3vGgXX1u0BVkV5ZGgEpSiVJCUMhnttZ7TQoiVlTzMROB5IUQk2ukw7p3WG+AA0EH82Q+4Ujfo4bRuXSTwBXAWOK5b/m/ATEr5C7ANOCaEiADeAP38YK3RVmJXlEeCGmauKEZICLEG2C6l/J+BjjcS6CilXGSI4ynKw6BaUIpinN5HO9mgoZgBHxjweIpS7VQLSlEURTFKqgWlKIqiGCWVoBRFURSjpBKUoiiKYpRUglIURVGMkkpQiqIoilFSCUpRFEUxSipBKYqiKEZJJShFURTFKKkEpSiKohgllaAURVEUo6QSlKIoimKUVIJSFEVRjJJKUIqiKIpReqSnfG/UqJF0c3Or6TAURVGUMvzxxx9JUsrGldn3kU5Qbm5uHDumJghVFEUxVkKIy5XdV3XxKYqiKEZJJShFURTFKKkEpSiKohilR/oaVGny8vKIj48nOzu7pkNRlCqzsrLC1dUVc3Pzmg5FUR66Wpeg4uPjqVevHm5ubgghajocRak0KSXJycnEx8fj7u5e0+GUEHwigZW7Y7iWmoWzvTVzB7cjsINLTYel1CK1LkFlZ2er5KTUCkIIHB0dSUxMrOlQSgg+kcA/Np8iK68AgITULP6x+RRAtScplRjrjlp5DUolJ6W2MNa/5ZW7Y/TJqVBWXgErd8dU63kLE2NCahaSPxNj8ImEaj2vUjNqZYJSFKV6XUvNeqDlhlJTiVGpGSpBVZMtW7YghCA6Otpgx5wyZQru7u74+/vj7+9PREREmdtKKZk1axatW7fG19eX48ePl9gmPT1dfyx/f38aNWrEa6+9BsBnn32Gj48P/v7+9O7dm7Nnz5Z5riFDhpCQoP0FGxQUxHvvvVdsfWhoKEIItm/frl82fPhwQkNDAfj111/p2LGj/lznz5/Xb/fjjz/i5eVF+/btmTBhQpkxaDQaZs2ahbe3Nz4+PnTp0oW4uDhAe0N34Xvx9/fn999/B+DKlSsMGjQIT09PvLy8uHTpUonjHjhwgI4dO2JmZsamTZuKrZs3bx7t27fH09OTWbNmIaUssf/69eu5du1amXEXev/99++7jTFxtrd+oOWGUlOJUakZdT5BBZ9IoNfyfbjP30mv5fsM1lUQFBRE7969+eGHHx5434KCgjLXrVy5koiICCIiIvD39y9zu127dhEbG0tsbCyff/45r7zySolt6tWrpz9WREQELVu2ZNSoUQBMmDCBU6dOERERwbx583j99ddLPU9WVha3b9/GxUV7DeCXX35hyJAhJbZzdXUtkbgKvfLKK3z33XdEREQwYcIE3n33XQBiY2NZtmwZhw4d4syZM3z00Udlvt8NGzZw7do1Tp48yalTp9iyZQv29vb69SEhIfr32bNnTwAmT57M3LlziYqKIiwsjCZNmpQ4bosWLVi/fn2J5Pj7779z6NAhTp48yenTpwkPD2f//v0l9q+tCWru4HZYm5sWW2Ztbsrcwe2q9bw1lRiVmlGnE1R19WffvXuXQ4cO8eWXXxZLUKGhofTp04eRI0fi5eXFyy+/jEajAcDOzo7FixfTrVs3Dh8+XKXzA2zdupXJkycjhKB79+6kpqZy/fr1MrePjY3l1q1bPP744wDUr19fvy4jI6PMayGhoaEEBAQA2lZbREQEHTt2LLGdn58fDRo0YO/evSXWCSG4c+cOAGlpaTg7OwOwbt06ZsyYgYODA0CpCaTQ9evXcXJywsRE+yft6uqq3680Z8+eJT8/nyeeeALQfv42NjYltnNzc8PX11d/3KIxZ2dnk5ubS05ODnl5eTRt2rTYNps2beLYsWNMnDgRf39/0tLSaNeuHTEx2u6o8ePHs27dOubPn09WVhb+/v5MnDixzJiNSWAHF5aN8sHF3hoBuNhbs2yUT7UPVqipxKjUjFo3iu9BlNefXZV/aMHBwQwZMoS2bdvSsGFDjh8/rv/SDgsL4+zZs7Rs2ZIhQ4awefNmxowZQ0ZGBt7e3rz99tvlHnvBggW8/fbbDBgwgOXLl2NpaVnqdgkJCTRv3lz/2tXVlYSEBJycnErdPigoiHHjxhVLRJ988gkffvghubm57Nu3r9T9du3aRWBgIAAnTpzAz8+vzGS2cOFCFi5cqE8Khb744guefPJJrK2tqV+/PkeOHAHg3LlzAPTq1YuCggKWLl1aausMYOzYsfTu3ZuDBw8yYMAAnn32WTp06KBf369fP0xNTbG0tOTo0aOcO3cOe3t7Ro0aRVxcHAMHDmT58uWYmpqWevx79ejRg379+uHk5ISUkpkzZ+Lp6VlsmzFjxrB27VpWrVpF586dAVi7di1Tpkxh9uzZpKSk8MILL+iXl9dla4wCO7g89NFzhedTo/jqhjrdgqqu/uygoCCeeeYZAJ555hmCgoL067p27UqrVq0wNTVl/Pjx/PbbbwCYmpoyevToco+7bNkyoqOjCQ8P5/bt26xYsaLMbUu7HlLeiLAffviB8ePHF1s2Y8YMLly4wIoVK/Tdbvc6dOgQvXv3BrTde0OHDi3zHIWts4MHDxZbvnr1an7++Wfi4+OZOnWqvjsxPz+f2NhYQkNDCQoKYvr06aSmppZ6bFdXV2JiYli2bBm5BZJ+/fuz7oetRF+/g0b+2cV39OhR/bEPHjzIqlWrCA8P5+LFi6xfv77M2O91/vx5oqKiiI+PJyEhgX379nHgwIH77vfEE0/g4+PDjBkz+OKLLyp8PuVPgR1cODS/P3HLh3Fofn+J6/VqAAAgAElEQVSVnGqxOp2gqqM/Ozk5mX379jF9+nTc3NxYuXIlGzZs0CeMe5NE4WsrK6v7/np3cnJCCIGlpSVTp04lLCyszG1dXV25evWq/nV8fLy+6+xekZGR5Ofn06lTp1LXP/PMMwQHB5dYfvHiRZo3b46FhQUAe/bsYdCgQeW+hwULFhS7FpWYmEhkZCTdunUDYNy4cfpBDK6urowYMQJzc3Pc3d1p164dsbGxZR7b0tKS7n0H8NLcJTw/43X27d5JboGGAo2G1MzcYtu6urrSoUMHWrVqhZmZGYGBgaUOJCnLli1b6N69O3Z2dtjZ2TF06FB9y688Go2GqKgorK2tuX37doXPpyh1UZ1OUNXRn71p0yYmT57M5cuXuXTpElevXsXd3V3fUgoLCyMuLg6NRsOGDRv0rY+KKLyGJKUkODgYb2/vMrd96qmn+Prrr5FScuTIERo0aFBu9969raeiiWDnzp20adOmxH67du3Sd7mlpaWRn5+Po6Njue9h0KBBpKSkEBkZCYCDgwNpaWn67ry9e/fqu8oCAwMJCQkBICkpiXPnztGqVatSj3v8+HGuXbvGzbRs8gsKOBd9BmeXP7s4E+/kFNu+S5cupKSk6G+C3bdvH15eXuXGXlSLFi3Yv38/+fn55OXlsX///hJdfKAdiJKenq5/vXr1ajw9PQkKCmLatGnk5eUBYG5urn+uKIqOlLLaH8B/gFvA6TLWNwC2A5HAGWBqRY7bqVMnea+zZ8+WWFaeLcfjZc9lv0q3v++QPZf9Krccj3+g/e/Vt29fuWvXrmLL1qxZI19++WUZEhIi+/XrJ8eOHSs9PT3lSy+9JAsKCqSUUtra2t732P369ZPe3t6yffv2cuLEiTI9Pb3MbTUajXz11Vdlq1atpLe3twwPD9ev8/PzK7atu7u7jIqKKrZs1qxZ0svLS/r5+cmAgAB5+vTpEucYPny4jIuLk1JKuXHjRrlkyZJSYwkJCZHDhg3Tv966dasEZEhIiJRSys2bN0tvb2/p6+sr+/btKy9cuKB/D3PmzJGenp7S29tbBgUFlfl+d+3aJTt27Cgfa+shH2vrIUeMnSjDYq/LyKsp0tm1uQyNPF9inz179kgfHx/p7e0tn3vuOZmTkyOllHLRokVy69atUkopw8LCpIuLi7SxsZENGzaUXl5eUkop8/Pz5Ysvvig9PDykp6ennDNnjv64zz//vP7z3rRpk2zbtq308/OTERER0sPDQ965c0dKKeWcOXPk4sWLpZRSzps3T3p4eMgJEyaUiPNB/6YVxZgAx2Qlc4eQpVyrMDQhRB/gLvC1lLLEz34hxJtAAynl34UQjYEYoJmUMvfebYvq3LmzvHfCwqioqFJ/yRqD0NBQVq1axY4dO2o6lCrLycmhV69e+gkjp0+fzvTp0+nevXuNxhV9/Q65BZoSyy1MTfBwql/KHsbPmP+mFeV+hBB/SCk7V2bfhzKKT0p5QAjhVt4mQD2hvSBjB9wG8h9CaEolWVpaFpvN2Fgu+DdtYEVCShaaIj+8TISgaQOrGoxKUZTKMJZh5muBbcA1oB4wTkpZ8mcwIIR4EXgRtNcBHiUBAQH6e4bKM3LkSH0VhEIrVqxg8ODBJbb96quvWLNmTbFlvXr14pNPPqlSrMbq1KlTTJo0qdiywqHjAA422gEbN9OyyS3QYGFqQtMGVvrliqI8Oh5KFx+ArgW1o4wuvjFAL+B14DFgL+AnpbxT3jHL6uLz8PAw2iKbivIgpJRER0erLj7lkVWVLj5jGcU3Fdisu6Z2HogDPCpzICsrK5KTk0u9D0hRHiVSNx+UlZXqnlTqJmPp4rsCDAAOCiGaAu2Ai5U5kKurK/Hx8UY5h46iPKjCGXUVpS56KAlKCBEEBACNhBDxwBLAHEBK+RnwDrBeCHEKEMDfpZRJlTlX4U2dilJXqAn8lNrqYY3iG3+f9deA8ksQKIpSQk3ObKso1c1YuvgURamE6ip4bMxUi7HuUAlKUR5hdW0CP9VirFuMZRSfoiiVUNcm8FNTvtctKkEpyiOsrk3gV9dajHWdSlCK8girqZlta0pdazHWdeoalKI84mpiZtuaMndwu2LXoKB2txjrOpWgFEV5ZKgp3+sWlaAURXmk1KUWY12nrkEpiqIoRkm1oBTFQNQNpIpiWCpBKYoBqBtIFcXwVBefohiAuoFUUQxPJShFMQB1A6miGJ5KUIpiAOoGUkUxPJWgFMUA6lrJIeX/27vz+Kiq+//jr48BAVdksYVEDbiwBQgYBcVWbSvg8lDcqtafC+pX+Wq/PqotFuvSvWqptbbar1+0rUstLoggtahUQCwVNGyCIqCiJdFHQRFERUrI5/fH3MRJmAkzydzZ7vv5eMwjM2fOvfecuZN8cs499xzJBg2SEMkA3UAqknkKUCIZohtIRTJLXXwiIpKXFKBERCQvKUCJiEheUoASEZG8lFaAMrPeZjbDzD4ws/VmNt3MeodVOBERia50W1B/AR4Dvgz0BB4HJu9qIzP7YxDQVrSQ5zgzW2pmr5nZC2mWS0REiky6Acrc/SF3rwsefwY8he3uB0Yn3alZZ+D3wKnuPgA4O81yiYhIkUk3QM0xswlmVm5mB5nZdcDTZtbFzLok28jd5wEbW9jvt4Cp7v6vIP/6NMslIiJFJt0bdc8Jfl7RLP0SYi2p1l6POgxob2Zzgb2BO939wUQZzexy4HKAAw88sJWHExGRfJdWgHL3XiGW43Dg60An4CUzW+DuqxOUYRIwCaCqqiqV7kURESlAaQUoMysBTgbK47d191+3sRw1wAfu/inwqZnNAwYDOwUoERGJhnSvQc0ALga6EuuKa3i01XTgK2bWzsz2AIYBKzOwXxERKVDpXoMqc/dB6R7EzCYDxwHdzKwG+CHQHsDd73H3lWb2DPAqUA/c5+5Jh6SLiEjxSzdAzTSzke7+XDobuft5KeSZCExMszwieWPaklottyGSQekGqAXAk2a2G7AdMMDdfZ+Ml0ykgExbUsv1U5ezdfsOAGo3beX6qcsBQg9SN05bzuSF69jhTokZ5w07gJ+NGRjqMUWyId1rULcDRwF7uPs+7r63gpNIbKHChuDUYOv2HUx8dlWox71x2nL+vOBf7PDYgNYd7vx5wb+4cdryUI8rkg3pBqg1wAp31/BukTjvbdqaVnqmTF64Lq30TJq2pJYRt86m14SnGXHrbKYtqQ39mBIt6XbxvQ/MNbOZwLaGxAwMMxcpaD07d6I2QTDq2blTqMfdkeR/xWTpmZLLLk2JjnRbUGuB54Hdyewwc5GCNn5UHzq1L2mS1ql9CeNH9Qn1uCVmaaVnSq66NCVa0p1J4scAZrZncFOtiPBFqyHbo/jOG3YAf17wr4TpYcpVl6ZES7ozSRwF/AHYCzjQzAYDV7j7lWEUTqSQjBlSmvXurYbRetkexZerLk2JlnSvQf0GGAU8BeDuy8zsqxkvlYik7GdjBmZ9WPn4UX2aXIOC7HRpSrSkG6Bw93XWtH97R7K8IlKcctWlKdGSboBaZ2ZHA25muwNXoznzRCIpF12aEi3pjuIbB1wFlBKbgbwS0PUnERHJuHRbUH3c/fz4BDMbAczPXJEkajSHnYgkkm6A+h0wNIU0kZQCj274FJFkUgpQwfDyo4HuZnZt3Fv7ACWJt5IoSzXwtHTDpwKUSLSleg1qd2L3PrWj6QwSHwNnhVM0KWSpzjSgGz5FJJmUWlDu/gLwgpnd7+7vhlwmKQKpBh7d8CkiyaQ1ik/BSVKVLMA0T8/VHHYikv/SHWYukpLxo/rQvqTphKXtS2ynwDNmSCm3nDGQ0s6dMKC0cyduOWOgrj+JiAKUhKj5ig9aRUxE0pDuZLEdgUuBAUDHhnR3vyTD5ZICN/HZVWyvbxqRttf7TqPzpi2pZfyUZWzfEctbu2kr46csA1o/zFz3VYkUh3RbUA8BXyY2YewLQBmwJdOFksKX6iCJH894rTE4Ndi+w/nxjNdaddyG4e21m7bifDG8vZhXe9XKtlKs0g1Qh7j7TcCn7v4AcDKQ3WmUpSCkOkjio8+2J8yXLH1XoraQXi4DsgKjhC3dANXwV2OTmVUA+wLlGS2RFIVcjc6L2n1VuQrIUWypSvalG6Ammdl+wE3E1oR6HfjlrjYysz+a2XozW7GLfEeY2Q4z082/BS7V0XmdO7VPuH2y9F1JteVWLHIVkKPWUpXcSHfJ9/uCpy8AvdPY9H7gLuDBZBnMrAS4DXg2nTJJ/kplOYYfnTqA8Y8vazKgov1uxo9OHdCqYx7ft3vCJdCP79u9VfvLd7m60TlqLVXJjXRH8XUAziTWrde4rbv/pKXt3H2emZXvYvf/AzwBHJFOmaSwZXrhuzlvbEgrvdDlamVbzQAi2ZDubObTgc3AImBbpgphZqXA6cDX2EWAMrPLgcsBDjzwwEwVQXIokwvfRe0/+zFDSql+dyOTF65jhzslZpx5ePgLCWrJd8mGdANUmbuPDqEcvwG+7+47mi0nvxN3nwRMAqiqqtKtn9JE1P6zn7aklicW1bLDY78KO9x5YlEtVQd1CTVI5XLJd93nFh3pBqh/mtlAd1+e4XJUAY8EwakbcJKZ1bn7tAwfR4rc+FF9mtz4C4mnWCoWuVyuJBdLvmv9sGhJdxTfMcAiM1tlZq+a2XIze7WthXD3Xu5e7u7lwBTgSgUnabUITbEUtS5NjR6MlnRbUCe25iBmNhk4DuhmZjXAD4H2AO5+T2v2KZJIqlMsFYuodWlGLSBHXbrDzFu13Ia7n5dG3otbcwwpXJm8phC1P2BRG6wQtYAcdZrNXHIq0zMSRO1G3agtV6L1w6Il3S4+kYzK9EX+qLUoIDeDFXIll6MHJfsUoCQ0qXTdZbpLTn/Ail+UAnLUKUBJKFIdDhzGNQX9ARMpDroGJaFIdTiwrimISDJqQUkoUu26U5eciCSjACWhSKfrTl1yIpKIuvgkFOq6E5G2UgtKQhHFrjtNYiqSWQpQEpoodd1pElORzFMXn0gGaBJTkcxTC0okA6I2ByCoS1PCpxaUSAZEbQ7ATM+hKJKIApSEZtqSWkbcOpteE55mxK2zi/qPV9RGLapLU7JBXXwSiqgNGojaqMVcdmmqazE61IKSUOg/7OKWqy5NdS1GiwKUhCJqgwai9oczV12a+scnWhSgJBRRGzQQtT+cuVooMWr/+ESdrkFJKKK2cGAU/3Dm4kZsLfkeLWpBSSiithR51FqMuRK10ZJRpxaUhCZKUx1FrcWYK1EbLRl1ClAiGaA/nNkTpX98oi4rAcrM/gicAqx394oE758PfD94+Qnw3+6+LBtlE8kU/eEUyaxstaDuB+4CHkzy/lrgWHf/yMxOBCYBw7JUNgmJbqgUkbbISoBy93lmVt7C+/+Me7kAKAu7TBKuqM0kISKZl4+j+C4FZiZ708wuN7NqM6vesGFDFosl6YjafUEiknl5FaDM7HhiAer7yfK4+yR3r3L3qu7du2evcJKWKN4XJCKZlTcByswGAfcBp7n7h7kuj7RN5z3ap5UuItJcXgQoMzsQmApc4O6rc10eaTv39NJFRJrL1jDzycBxQDczqwF+CLQHcPd7gJuBrsDvzQygzt2rslE2CcfmrdvTShcRaS5bo/jO28X7lwGXZaMskh2aM6346TYCCVtedPFJ8dGcacUtasuLSG4oQEkoojZZbNToNgLJBs3FJ6HR1D/FS7cRSDaoBSUiadPyIpINClAikjZdY5RsUBefiKRNy4tINihAiUir6BqjhE1dfCIikpcUoEREJC8pQImISF5SgBIRkbykACUiInnJvIDXPzCzDcC7Cd7qBnyQ5eKEQfXIL6pHflE98kuyehzk7q1aXbagA1QyZlZdDMt1qB75RfXIL6pHfgmjHuriExGRvKQAJSIiealYA9SkXBcgQ1SP/KJ65BfVI79kvB5FeQ1KREQKX7G2oEREpMAVVIAysy5mNsvM1gQ/90uS76Igzxozuygu/edmts7MPmmWv4OZPWpmb5rZQjMrz/N6HG5my4Py/tbMLEj/kZnVmtnS4HFSSOUfbWarguNPSPB+0s/TzK4P0leZ2ahU91lA9XgnODdLzaw6X+tgZl3NbI6ZfWJmdzXbJuH3qwDrMTfYZ8Pvw/55XI8TzGxR8LkvMrOvxW1TSOejpXqkfz7cvWAewC+BCcHzCcBtCfJ0Ad4Ofu4XPN8veG840AP4pNk2VwL3BM/PBR7N83q8DBwFGDATODFI/xHwvZDLXgK8BfQGdgeWAf1T+TyB/kH+DkCvYD8lqeyzEOoRvPcO0C1Lvw9tqcOewDHAOOCuZtsk/H4VYD3mAlXZOBcZqMcQoGfwvAKoLdDz0VI90j4fBdWCAk4DHgiePwCMSZBnFDDL3Te6+0fALGA0gLsvcPf3d7HfKcDXQ/4vpdX1MLMewD7u/pLHzvqDSbYPy5HAm+7+trv/B3iEWH3iJfs8TwMecfdt7r4WeDPYXyr7LIR6ZFur6+Dun7r7P4DP4zPn6PuV8XrkSFvqscTd3wvSXwM6Bq2UQjsfCevR2oIUWoD6UkOACX4maiKWAuviXtcEaS1p3Mbd64DNQNc2lza5ttSjNHjePL3Bt83sVTP7oyXpOmyjVD7fZJ9nS3VK95y1VRj1AHDguaB74/IQyp2wfAnKsVOeFL/bu/p+hSGMejT4U9CddFMWusYyVY8zgSXuvo3CPh/x9WiQ1vnIuwULzezvwJcTvHVDqrtIkLaroYqt2ablHYZXj5bK+r/AT4PXPwVuBy5J8XipSuWzSrfsif5RCnt4aRj1ABjh7u8F/euzzOwNd5/XhnK2pC11aMs+My2MegCc7+61ZrY38ARwAbEWSFjaXA8zGwDcBoxMY5+ZFkY9oBXnI+9aUO7+DXevSPCYDvw7aPI2dEWsT7CLGuCAuNdlwHsJ8iXcxszaAfsCG/O0HjXB8+bpuPu/3X2Hu9cD9xJOt1Mqn2+yz7OlOqV7ztoqjHrQ0L3h7uuBJwm3668tdWhpnwm/XyEKox64e23wcwvwF8Lvhm1TPcysjNh35kJ3fysuf0GdjyT1aNX5yLsAtQtPAQ2j2S4CpifI8yww0sz2C7q4RgZpqe73LGB20N8bllbXI+gS3GJmw4Mm8oUN2zcEvcDpwIoQyv4KcKiZ9TKz3YldIH2qWZ5kn+dTwLlB33ov4FBiF4BT2Wfe18PM9gz+O8TM9iR2zsI4B5moQ0Itfb9ClPF6mFk7M+sWPG8PnEK45wLaUA8z6ww8DVzv7vMbMhfa+UhWj1afj3RGVOT6QayP83lgTfCzS5BeBdwXl+8SYheu3wTGxqX/kljkrw9+/ihI7wg8HuR/Geid5/WoCk7uW8BdfHHD9UPAcuDV4AvUI6TynwSsDo5/Q5D2E+DUXX2exLo43wJWETcaKdE+s/B9ymg9iI16WhY8XstGPdpYh3eI/df7SfD70L+l71ch1YPY6L5Fwe/Ca8CdBCMt87EewI3Ap8DSuMf+hXY+ktWjtedDM0mIiEheKrQuPhERiQgFKBERyUsKUCIikpcUoEREJC8pQImISF5SgBIRkbykACWSIjPrbGZXxr3uaWZTQjrWGDO7OYP7+1X80gcihUD3QYmkKFjz5q/uXpGFY/2T2E2RH2RofwcB97r7yF1mFskTakGJpO5W4OBgNuaJZlZuZisAzOxiM5tmZjPMbK2ZfdvMrjWzJWa2wMy6BPkONrNngtnOXzSzvs0PYmaHAdsagpOZnW1mK8xsmZnNC9JKgjK8Esxef0Xc9tdZbMG4ZWZ2K4C7vwt0NbNEExiL5KW8m81cJI9NACrcvRIaW1TxKogt2NaR2BQw33f3IWZ2B7E51H4DTALGufsaMxsG/B5o3vU2Algc9/pmYJTHZoLuHKRdCmx29yMstt7OfDN7DuhLbL2gYe7+WUNgDCwO9v1Eqz8BkSxSgBLJnDkem6l5i5ltBmYE6cuBQWa2F3A08HjcUjiJFnPrAWyIez0fuN/MHgOmBmkjg32eFbzel9iktd8A/uTunwG4e/yM3+uBnm2on0hWKUCJZE78wmz1ca/rif2u7QZsamiBtWArsYADgLuPC1pbJwNLzayS2Ho8/+PuTWbqN7PRJF8vqGOwb5GCoGtQIqnbAuzd2o3d/WNgrZmdDWAxgxNkXQkc0vDCzA5294XufjPwAbF1eJ4F/jtYugAzOyxY4uM54BIz2yNIj+/iO4zwl5wQyRgFKJEUufuHxK71rDCzia3czfnApWbWsCTHaQnyzAOG2Bf9gBODQQ8rgveWAfcBrwOLg/T/A9q5+zPEllqpNrOlwPegcQ2eQ4DqVpZbJOs0zFwkD5nZncAMd/97hvZ3OjDU3W/KxP5EskEtKJH89Atgjwzurx1wewb3JxI6taBERCQvqQUlIiJ5SQFKRETykgKUiIjkJQUoERHJSwpQIiKSlxSgREQkLylAiYhIXlKAEhGRvKQAJSIieUkBSkRE8pIClIiI5CUFKBERyUsFvaJut27dvLy8PNfFEBGRJBYtWvSBu3dvzbYFHaDKy8uprtb6ayIi+crM3m3tturiExGRvKQAJSIieamgu/hEEpm2pJaJz67ivU1b6dm5E+NH9WHMkNJcF0tE0qQAJUVl2pJarp+6nK3bdwBQu2kr109dDqAgJVJg1MUnRWXis6sag1ODrdt3MPHZVTkqkYi0lgKUFJX3Nm1NK11E8pcClBSVnp07pZUuIvlLAUqKyvhRfejUvqRJWqf2JYwf1SdHJRKR1tIgCSkqDQMhNIpPpPBlJUCZWUdgHtAhOOYUd/9hszwXAxOB2iDpLne/Lxvlk+IyZkipApJIEchWC2ob8DV3/8TM2gP/MLOZ7r6gWb5H3f3bWSqTiIjksawEKHd34JPgZfvg4dk4toiIFKasDZIwsxIzWwqsB2a5+8IE2c40s1fNbIqZHZCtsomISP7JWoBy9x3uXgmUAUeaWUWzLDOAcncfBPwdeCDRfszscjOrNrPqDRs2hFtoERHJmawPM3f3TcBcYHSz9A/dfVvw8l7g8CTbT3L3Knev6t69VUuMiIhIAchKgDKz7mbWOXjeCfgG8EazPD3iXp4KrMxG2UREJD9laxRfD+ABMyshFhQfc/e/mtlPgGp3fwq42sxOBeqAjcDFWSqbiIjkIYsNsCtMVVVVrhV1RUTyl5ktcveq1myrmSREpKBova/oUIASyRD94Qyf1vuKFk0WK5IBDX84azdtxfniD+e0JbW73FZSp/W+okUtKAlNlFoULf3hLNY654LW+4oWBSgJRTpdMcUQyPSHMzt6du5EbYLPVOt9FSd18UkoUu2KKZauMS2UmB1a7ytaFKAkFKm2KIrlmoL+cGbHmCGl3HLGQEo7d8KA0s6duOWMgQXX4pbUqItPQpFqV0yxdI1pocTs0Xpf0aEAJaEYP6pPk2tQkLhFUUzXFPSHUySz1MUnoUi1K0ZdYyKSjFpQEppUWhRjhpRS/e5GJi9cxw53Ssw483C1RERELSjJsWlLanliUS07gjkhd7jzxKLaghvFJyKZpwAlOVUso/hEJPMUoCSnimUUn4hkngKU5JRucBWRZBSgJKc0ik9EksnWku8dzexlM1tmZq+Z2Y8T5OlgZo+a2ZtmttDMyrNRNsmtMUNKOfPwUkrMADSKT0QaZasFtQ34mrsPBiqB0WY2vFmeS4GP3P0Q4A7gtiyVTXJIo/hEJJmsBCiP+SR42T54NF9r/jTggeD5FODrZsG/1VK0NIpPRJLJ2jUoMysxs6XAemCWuy9slqUUWAfg7nXAZqBrgv1cbmbVZla9YcOGsIstIdMoPhFJJmsByt13uHslUAYcaWYVzbIkai01b2Xh7pPcvcrdq7p37x5GUSWLNIpPRJLJ+ig+d98EzAVGN3urBjgAwMzaAfsCG7NaOMk6jeITkWSyNYqvu5l1Dp53Ar4BvNEs21PARcHzs4DZ7r5TC0qKi9b3EZFksjVZbA/gATMrIRYUH3P3v5rZT4Bqd38K+APwkJm9SazldG6WyiY5pmUqRCSRtAKUmfUG7gSOAuqBl4Br3P3tlrZz91eBIQnSb457/jlwdjrlERGR4pVuF99fgMeALwM9gceByZkulIiISLoBytz9IXevCx5/JsFIOxERkbZK9xrUHDObADxCLDCdAzxtZl0A3F2j7kREJCPSDVDnBD+vaJZ+CbGA1bvNJRIRESHNAOXuvcIqiIiISLx0R/GVACcD5fHbuvuvM1ssERGJunS7+GYAnwPLiQ0zFxERCUW6AarM3QeFUhIREZE46QaomWY20t2fC6U0IgVs2pJaJj67ivc2baVn506MH9VHM2SItEG6AWoB8KSZ7QZsJzYDubv7PhkvmUgBmbakluunLm9c26p201aun7ocQEFKpJXSDVC3E5vmaLkmchX5QksLLxZrgFKLUcKWboBaA6xQcBJpKmoLL6rFKNmQboB6H5hrZjOBbQ2JGmYuUdezcydqEwSjYl14MYotRsm+dOfiWws8D+wO7B33EIm0qC28GLUWo+RGujNJ/BjAzPZ090/DKZJI4WloNUTlmkzUWoySG+nOJHEUsYUF9wIONLPBwBXufmUYhRMpJFFaeHH8qD5NrkFBcbcYJTfSvQb1G2AUseXZcfdlZvbVXW1kZgcADxJbR6oemOTudzbLcxwwnVg3IsBUd/9JmuUTiZxcjKaLWotRciPtJd/dfZ2ZxSftSJY3Th3wXXdfbGZ7A4vMbJa7v94s34vufkq6ZRKJqlyOpotSi1FyI91BEuvM7GjAzWx3M/sesHJXG7n7++6+OHi+JdhG32yRNmppNJ1IoUs3QI0DriIWXGqASiCt609mVg4MARYmePsoM1tmZjPNbECS7S83s2ozq96wYUM6hxYpOhpNJ8Us3QDVx93Pd/cvufv+7v7/gH6pbmxmewFPAN9x94+bvb0YOMjdBwO/A6Yl2pK3310AABn3SURBVIe7T3L3Knev6t69e5rFFykuyUbNaTSdFIN0r0H9DhiaQtpOzKw9seD0sLtPbf5+fMBy97+Z2e/NrJu7f5BmGSVPnPDruaxZ/8XdCIfuvyezrj1up3yZvsgfpSl4xo/qw/gpy9i+44vJXdqXWFZG0+Xqc47S+Y26lAJUMLz8aKC7mV0b99Y+QEnirZpsb8SGp69MNuuEmX0Z+Le7u5kdSax192Eq5ZP80zw4AaxZ/ykn/HpukyCV6Yv8kZyCp/nEY1mYiCxXn3Mkz2+EpdrFtzuxe5/a0XQGiY+Bs1LYfgRwAfA1M1saPE4ys3FmNi7IcxawwsyWAb8FztWcf4WreXBKlp7pi/xRGzQw8dlVbK9v+muyvd5Dr2+uPueond+oS6kF5e4vAC+Y2f3u/m66B3H3fxBbmqOlPHcBd6W7bylsmb7IH7VBA7mqb6JZJFpKz5Sond+oS2uQRGuCk0hLMn2RP2qDBnJV3xJL/P9msvRMidr5jbp0R/GJpOTQ/fdMKT3Tk6xGbdLWXNV3R5Le92TpmRK18xt1ClASilnXHrdTMEo0im/MkFJuOWMgpZ07YUBp507ccsbAVl/wzvT+8l2u6luapMWSLD1TonZ+oy7VUXy/o4WxQe5+dcZKJEUj0ZDyRDI9ZU7UpuDJRX01WaxkQ6r3QVWHWgqRIhCl+3NyNVmshplHi7VmJHcw4au7+yeZL1LqqqqqvLpasVNyr/kfToi1KNT9lFkjbp2dcKRgaedOzJ/wtRyUSHbFzBa5e1Vrtk3rGpSZVZjZEmAF8LqZLUo2Z55IlOj+nOzQMPNoSXeQxCTgWnc/yN0PBL4L3Jv5YokUFv3hzA4NM4+WdAPUnu4+p+GFu88FEo8nFokQ/eHMDg0zj5Z0A9TbZnaTmZUHjxv5YgVckcjSH87s0DDzaEl3NvNLgB8DU4lNXTQPGJvpQokUGi2Bnj1Ru40gylo1ii9faBSfiEh+a8sovrRaUGZWBfwAKI/f1t0HtebgIiIiyaTbxfcwMB5YDtRnvjgiIiIx6QaoDe7+VCglERERiZNugPqhmd0HPA9sa0hMtIR7PDM7AHgQ+DKxltckd7+zWR4D7gROAj4DLnb3xWmWT0REikS6AWos0BdozxddfE5sVF9L6oDvuvviYJqkRWY2y91fj8tzInBo8BgG/G/wU0REIijdADXY3QemexB3fx94P3i+xcxWAqVAfIA6DXgwWOZ9gZl1NrMewbYikkSUJqmVaEn3Rt0FZta/LQc0s3JgCLCw2VulwLq41zVBWvPtLzezajOr3rBhQ1uKIlLwGiaprd20FeeL2b2nLanNddFE2izdAHUMsNTMVpnZq2a23MxeTXVjM9sLeAL4jrt/3PztBJvsdJOWu09y9yp3r+revXtahRcpNpqkVopZul18o1t7IDNrTyw4PZxkUEUNcEDc6zLgvdYeTyQKNEmtFLO0ApS7v9uagwQj9P4ArHT3XyfJ9hTwbTN7hNjgiM26/iTSsp6dOyVcHykbk9Tq2peELd0WVGuNAC4AlpvZ0iDtB8CBAO5+D/A3YkPM3yQ2zFxz/EmrROkPZ66WXtfKtpINWQlQ7v4PEl9jis/jwFXZKI8Ur6j94czVJLUtXfsqxs9ZciPdQRIieU2DBrJD174kGxSgpKgkuh7TUnqhy9Uwcy3QKNmgACVFpcQS9yQnSy90uWoxaoFGyYZsDZIQyYodSdY3S5aeSbkYnJGrrjYt0CjZoAAlRaU0ybDr0pC7nnI1OGPfTu3ZtHV7wvSwaWVbCZu6+KSo5KrrKVddbcl6LrPRozltSS0jbp1NrwlPM+LW2ZpeSTJOLSgpKrnqespVV9umz3ZuPbWUnilRG84vuaEAJUUnF11PuZrRIVfH1X1Qkg3q4pPQRKkLKFddi7k6ru6DkmxQC0pCEbUuoFx1LebquLmcA1CiwzwLw2/DUlVV5dXV1bkuhiQw4tbZSUfTzZ/wtRyUSDKp+T8gEGu53XLGwKL8B0Raz8wWuXtVa7ZVC0pCoS6g4qb7oCQbFKAkFOoCKn66D0rCpkESEgpNhSMibVV0Lajt27dTU1PD559/nuuiRFqfjvDns0r5eGsdO+qdkt2MfTq1Y4/dP2blyo9zXbyC0bFjR8rKymjfPvyZIUTyTdEFqJqaGvbee2/Ky8uxIp0gVKLB3fnwww+pqamhV69euS6OSNZlpYvPzP5oZuvNbEWS948zs81mtjR43NzaY33++ed07dpVwUkKnpnRtWtX9QZIZGWrBXU/cBfwYAt5XnT3UzJxMAUnKRb6LkuUZaUF5e7zgI3ZOJaIiBSHfBrFd5SZLTOzmWY2IFkmM7vczKrNrHrDhg3ZLJ+IiGRRvgSoxcBB7j4Y+B0wLVlGd5/k7lXuXtW9e/c2Hzis+eKefPJJzIw33ngjI/sDuPjii+nVqxeVlZVUVlaydOnSpHndnauvvppDDjmEQYMGsXjx4p3ybNmypXFflZWVdOvWje985zsA3HPPPQwcOJDKykqOOeYYXn/99aTHGj16NLW1sc9t8uTJ/PznP2/y/ty5czEzZsyY0Zh2yimnMHfuXACef/55hg4d2nisN998szHfY489Rv/+/RkwYADf+ta3kpahvr6eq6++moqKCgYOHMgRRxzB2rVrASgvL2+sS2VlJf/85z8B+Ne//sXIkSPp168f/fv355133tlpv/PmzWPo0KG0a9eOKVOmNHnvuuuuY8CAAfTr14+rr76aRLOy3H///bz33ntJy93gF7/4xS7ziESOu2flAZQDK1LM+w7QbVf5Dj/8cG/u9ddf3yktmScX13jfG2f6Qd//a+Oj740z/cnFNSnvI5mzzz7bjznmGP/hD3+Y9rZ1dXUJ0y+66CJ//PHHU9rH008/7aNHj/b6+np/6aWX/Mgjj9zlNkOHDvUXXnjB3d03b97cmD59+nQfNWpUwm0+++wzP+KIIxpfX3jhhV5dXd0kz5w5c7ysrMyHDRvWmHbyySf7nDlz3N390EMPbTxvd999t1900UXu7r569WqvrKz0jRs3urv7v//976Rl/8tf/uJnnnmm79ixw93d161b17jdQQcd5Bs2bNhpm2OPPdafe+45d3ffsmWLf/rppzvlWbt2rS9btswvuOCCJp/9/Pnz/eijj/a6ujqvq6vz4cOHN9an+TFeeeWVpOVusOeeeyZ9L53vtEi+Aaq9lXEjL1pQZvZlC64Gm9mRxFp2H4Z93LAWmfvkk0+YP38+f/jDH3jkkUca0+fOnctXv/pVTj/9dPr378+4ceOor68HYK+99uLmm29m2LBhvPTSS206PsD06dO58MILMTOGDx/Opk2beP/995PmX7NmDevXr+crX/kKAPvss0/je59++mnSi/Vz587luOOOA2L/7CxdupShQ4fulG/w4MHsu+++zJo1a6f3zIyPP47dG7V582Z69uwJwL333stVV13FfvvtB8D++++ftPzvv/8+PXr0YLfdYl/psrKyxu0Sef3116mrq+OEE04AYp//HnvssVO+8vJyBg0a1Ljf+DJ//vnn/Oc//2Hbtm1s376dL33pS03yTJkyherqas4//3wqKyvZvHkzffr0YdWq2PfrvPPO495772XChAls3bqVyspKzj///KRlFomabA0znwy8BPQxsxozu9TMxpnZuCDLWcAKM1sG/BY4N4i8oQprvrhp06YxevRoDjvsMLp06dKke+3ll1/m9ttvZ/ny5bz11ltMnToViAWBiooKFi5cyDHHHJN03zfccAODBg3immuuYdu2bUnz1dbWcsABBzS+Lisra+yGS2Ty5Mmcc845TQLR3XffzcEHH8x1113Hb3/724TbzZw5k9GjRwOwZMkSBg8enDSY3XjjjfzsZz/bKf2+++7jpJNOoqysjIceeogJEyYAsHr1alavXs2IESMYPnw4zzzzTNLyf/Ob32TGjBlUVlby3e9+lyVLljR5//jjj6eyspJhw4Y17rtz586cccYZDBkyhPHjx7Njx45Eu07oqKOO4vjjj6dHjx706NGDUaNG0a9fvyZ5zjrrLKqqqnj44YdZunQp++67L3fddRcXX3wxjzzyCB999BH/9V//xa233kqnTp1YunQpDz/8cMplECl22RrFd56793D39u5e5u5/cPd73P2e4P273H2Auw929+Hu/s9slCvZvHBtnS9u8uTJnHvuuQCce+65TJ48ufG9I488kt69e1NSUsJ5553HP/7xDwBKSko488wzW9zvLbfcwhtvvMErr7zCxo0bue2225LmTRTfWxqy/Mgjj3Deeec1Sbvqqqt46623uO222xIGFoD58+c3BtRnnnmGE088MekxGlpnL774YpP0O+64g7/97W/U1NQwduxYrr32WgDq6upYs2YNc+fOZfLkyVx22WVs2rQp4b7LyspYtWoVt9xyC7vtthtf//rXef755xvfnzNnDkuXLmXhwoWN+37xxRf51a9+xSuvvMLbb7/N/fffn7Tszb355pusXLmSmpoaamtrmT17NvPmzdvldieccAIDBw7kqquu4r777kv5eCJRlBddfLkSxnxxH374IbNnz+ayyy6jvLyciRMn8uijjzYGjOZBouF1x44dKSkp2Wl/8Xr06IGZ0aFDB8aOHcvLL7+cNG9ZWRnr1q1rfF1TU9PYddbcsmXLqKur4/DDD0/4/rnnnsu0aTuPW3n77bc54IAD2H333QF47rnnGDlyZIt1uOGGG5oMotiwYQPLli1rbNmcc845jYMYysrKOO2002jfvj29evWiT58+rFmzJum+O3TowIknnsjEiRP5wQ9+kLDMDcrKyhgyZAi9e/emXbt2jBkzJuFAkmSefPJJhg8fzl577cVee+3FiSeeyIIFC3a5XX19PStXrqRTp05s3Kg7L0RaEukANWZIKbecMZDSzp0wYmsVtXU9mylTpnDhhRfy7rvv8s4777Bu3Tp69erV2FJ6+eWXWbt2LfX19Tz66KMtduc113ANyd2ZNm0aFRUVSfOeeuqpPPjgg7g7CxYsYN9996VHjx4J806ePHmn1lN8IHj66ac59NBDd9ouvntv8+bN1NXV0bVr1xbrMHLkSD766COWLVsGwH777cfmzZtZvXo1ALNmzWrsKhszZgxz5swB4IMPPmD16tX07t074X4XL17cOFquvr6eV199lYMOOihpOY444gg++ugjGm5VmD17Nv3792+x7PEOPPBAXnjhBerq6ti+fTsvvPDCTl18AHvvvTdbtmxpfH3HHXfQr18/Jk+ezCWXXML27dsBaN++feNzEQm0dnRFPjzaOoovDMcee6zPnDmzSdqdd97p48aN8zlz5vjxxx/v3/zmN71fv35+xRVXNI46a2kUV4Pjjz/eKyoqfMCAAX7++ef7li1bkuatr6/3K6+80nv37u0VFRVNRpINHjy4Sd5evXr5ypUrm6RdffXV3r9/fx88eLAfd9xxvmLFip2Occopp/jatWvd3f3xxx9POmJxzpw5fvLJJze+nj59ugONo96mTp3qFRUVPmjQID/22GP9rbfeaqzDNddc4/369fOKigqfPHly0vrOnDnThw4d6gMGDPABAwb42LFjfevWre6efBTfc8895wMHDvSKigq/6KKLfNu2be7uftNNN/n06dPd3f3ll1/20tJS32OPPbxLly7ev39/d4+NtLz88su9b9++3q9fP7/mmmsa93vppZc2ft5Tpkzxww47zAcPHuxLly71vn37+scff+zu7tdcc43ffPPN7u5+3XXXed++ff1b3/rWTuXM9XdapC1owyi+oltRd+XKlQn/k80Hc+fO5Ve/+hV//etfc12UNtu2bRsjRoyg4fO/7LLLuOyyyxg+fHiOS1Z88vk7nQvTltRqocQCohV1Jes6dOhA/D8HuuAv2dB8qfnaTVu5fupyAAWpIqQAlUXHHXdc4z1DLTn99NMbZ0FocNtttzFq1Kid8v7pT3/izjvvbJI2YsQI7r777jaVNV8tX76cCy64oElahw4dGkfnSXFr6d5FBajiU5QByt0LehboJ598MuW8Y8eOZezYsSGWJr8MHDiwxSmeik0hd8GHIax7FyU/Fd0ovo4dO/Lhhx/qF1sKnntswcKOHTvmuih5I6x7FyU/FV0LqqysjJqaGjTTuRSDhiXfJWb8qD5NrkFB2+9dlPxVdAGq4aZOESk+DdeZNIovGoouQIlIcRszpFQBKSKK7hqUiIgUBwUoERHJSwU9k4SZbQDeTfBWN+CDLBcnDKpHflE98ovqkV+S1eMgd2/V8ucFHaCSMbPq1k6tkU9Uj/yieuQX1SO/hFEPdfGJiEheUoASEZG8VKwBalKuC5Ahqkd+UT3yi+qRXzJej6K8BiUiIoWvWFtQIiJS4BSgREQkLxVUgDKzLmY2y8zWBD/3S5LvoiDPGjO7KC7952a2zsw+aZa/g5k9amZvmtlCMyvP83ocbmbLg/L+1oK1RczsR2ZWa2ZLg8dJIZV/tJmtCo4/IcH7ST9PM7s+SF9lZqNS3WcB1eOd4NwsNbPq5vvMlzqYWVczm2Nmn5jZXc22Sfj9KsB6zA322fD7sH8e1+MEM1sUfO6LzOxrcdsU0vloqR7pn4/WrhWfiwfwS2BC8HwCcFuCPF2At4Of+wXP9wveGw70AD5pts2VwD3B83OBR/O8Hi8DRwEGzARODNJ/BHwv5LKXAG8BvYHdgWVA/1Q+T6B/kL8D0CvYT0kq+yyEegTvvQN0y9LvQ1vqsCdwDDAOuKvZNgm/XwVYj7lAVTbORQbqMQToGTyvAGoL9Hy0VI+0z0dBtaCA04AHgucPAGMS5BkFzHL3je7+ETALGA3g7gvc/f1d7HcK8PWQ/0tpdT3MrAewj7u/5LGz/mCS7cNyJPCmu7/t7v8BHiFWn3jJPs/TgEfcfZu7rwXeDPaXyj4LoR7Z1uo6uPun7v4P4PP4zDn6fmW8HjnSlnoscff3gvTXgI5BK6XQzkfCerS2IIUWoL7UEGCCn4maiKXAurjXNUFaSxq3cfc6YDPQtc2lTa4t9SgNnjdPb/BtM3vVzP5oSboO2yiVzzfZ59lSndI9Z20VRj0AHHgu6N64PIRyJyxfgnLslCfF7/auvl9hCKMeDf4UdCfdlIWusUzV40xgibtvo7DPR3w9GqR1PvJuuQ0z+zvw5QRv3ZDqLhKk7WosfWu2aXmH4dWjpbL+L/DT4PVPgduBS1I8XqpS+azSLXuif5TCvv8hjHoAjHD394L+9Vlm9oa7z2tDOVvSljq0ZZ+ZFkY9AM5391oz2xt4AriAWAskLG2uh5kNAG4DRqaxz0wLox7QivORdy0od/+Gu1ckeEwH/h00eRu6ItYn2EUNcEDc6zLgvQT5Em5jZu2AfYGNeVqPmuB583Tc/d/uvsPd64F7CafbKZXPN9nn2VKd0j1nbRVGPWjo3nD39cCThNv115Y6tLTPhN+vEIVRD9y9Nvi5BfgL4XfDtqkeZlZG7Dtzobu/FZe/oM5Hknq06nzkXYDahaeAhtFsFwHTE+R5FhhpZvsFXVwjg7RU93sWMDvo7w1Lq+sRdAluMbPhQRP5wobtG4Je4HRgRQhlfwU41Mx6mdnuxC6QPtUsT7LP8yng3KBvvRdwKLELwKnsM+/rYWZ7Bv8dYmZ7EjtnYZyDTNQhoZa+XyHKeD3MrJ2ZdQuetwdOIdxzAW2oh5l1Bp4Grnf3+Q2ZC+18JKtHq89HOiMqcv0g1sf5PLAm+NklSK8C7ovLdwmxC9dvAmPj0n9JLPLXBz9/FKR3BB4P8r8M9M7zelQFJ/ct4C6+mBHkIWA58GrwBeoRUvlPAlYHx78hSPsJcOquPk9iXZxvAauIG42UaJ9Z+D5ltB7ERj0tCx6vZaMebazDO8T+6/0k+H3o39L3q5DqQWx036Lgd+E14E6CkZb5WA/gRuBTYGncY/9COx/J6tHa86GpjkREJC8VWhefiIhEhAKUiIjkJQUoERHJSwpQIiKSlxSgREQkLylAiaTIzDqb2ZVxr3ua2ZSQjjXGzG7O4P5+FT+ztEgh0DBzkRQFSwr81d0rsnCsfxK75+SDDO3vIOBedx+5y8wieUItKJHU3QocHEx2OdHMys1sBYCZXWxm08xshpmtNbNvm9m1ZrbEzBaYWZcg38Fm9kwwmeyLZta3+UHM7DBgW0NwMrOzzWyFmS0zs3lBWklQhleCyYGviNv+Ooutx7PMzG4FcPd3ga5mlmh+SJG8lHeTxYrksQlAhbtXQmOLKl4FsfVwOhK7w/777j7EzO4gNkXNb4BJwDh3X2Nmw4DfA8273kYAi+Ne3wyM8thEm52DtEuBze5+hMWWM5hvZs8BfYktxzDM3T9rCIyBxcG+n2j1JyCSRQpQIpkzx2MTYW4xs83AjCB9OTDIzPYCjgYej1tpINFaOT2ADXGv5wP3m9ljwNQgbWSwz7OC1/sSmxPwG8Cf3P0zAHePn1B1PdCzDfUTySoFKJHMiV/3pj7udT2x37XdgE0NLbAWbCUWcABw93FBa+tkYKmZVRJb7uB/3L3JRMhmNprkyzF0DPYtUhB0DUokdVuAvVu7sbt/DKw1s7MBLGZwgqwrgUMaXpjZwe6+0N1vBj4gtszBs8B/BzNDY2aHBTOoPwdcYmZ7BOnxXXyHEf6M3iIZowAlkiJ3/5DYtZ4VZjaxlbs5H7jUzBpmPE+0tP08YIh90Q84MRj0sCJ4bxlwH/A6sDhI/z+gnbs/Q2wm+2ozWwp8DxqXODgEqG5luUWyTsPMRfKQmd0JzHD3v2dof6cDQ939pkzsTyQb1IISyU+/APbI4P7aAbdncH8ioVMLSkRE8pJaUCIikpcUoEREJC8pQImISF5SgBIRkbykACUiInnp/wPxyfAyGrIQlAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 34 $$$ 34 $$$ 34 $$$ 34 $$$ 34 $$$ 34 $$$ 34 $$$ 34 $$$ 34 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.49745714286e-06\n",
      "222222       [14]\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.469 +/- 0.127 uk (8.63011422232 %)\n",
      "mean Na temp = 1.497 +/- 0.048 uk\n",
      "111111    2.25854761905e-06\n",
      "222222       [23]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.25854761905e-06 *******\n",
      "init mol temp = 2.37679166667 (9.20376102902 %)\n",
      "mean mol temp = 2.25854761905 (4.33659451655 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 140.444618976E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 110.105552578k\n",
      "TOTAL Na num = 110.105552578k\n",
      "\n",
      "init mol temp/init Na temp = 1.58721849103\n",
      "init mol temp = 2.37679166667e-06 uk\n",
      "init na temp = 1.49745714286e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.20644849625\n",
      "\n",
      "init na num = 113.936062185 at 1.49745714286 uk\n",
      "init Na density = 1.72228699701e+11 cm^-3 (8.03469774557 %)\n",
      "\n",
      "init overlap density = 1.12076436549e+11 cm^-3 (11.6614260352 %) (34.9998408164 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.650741930608\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 21.8667811262 at 2.37679166667 uk\n",
      "init molecule density = 1.16483289227e+11 cm^-3 (16.1769777678 %)\n",
      "two-body rate coefficient = 3.72687396381e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.1232656002\n",
      "loss rate coefficient = 2.90408139002e-10 (16.9685868327 %) (37.1070470275 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 30.7123740907\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0981453516885\n",
      "\n",
      "loss rate from EXP fit = 32.8705768116\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.72687396381e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.122338401691\n",
      "loss rate coefficient = 3.10193522438e-10 (15.6227753534 %) (36.511246346 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.72687396381e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.128518311684\n",
      "loss rate coefficient = 3.08103509666e-10 (16.1112950702 %) (36.7229332821 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.89\n",
      "\n",
      " $$$ 35 $$$ 35 $$$ 35 $$$ 35 $$$ 35 $$$ 35 $$$ 35 $$$ 35 $$$ 35 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.57318918919e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.554 +/- 0.043 uk (2.76680333696 %)\n",
      "mean Na temp = 1.573 +/- 0.015 uk\n",
      "111111    2.04201801802e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.04201801802e-06 *******\n",
      "init mol temp = 1.91963888889 (2.92691385685 %)\n",
      "mean mol temp = 2.04201801802 (3.98168665654 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 121.200515325E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 116.636411284k\n",
      "TOTAL Na num = 116.636411284k\n",
      "\n",
      "init mol temp/init Na temp = 1.22022125634\n",
      "init mol temp = 1.91963888889e-06 uk\n",
      "init na temp = 1.57318918919e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.88137904738\n",
      "\n",
      "init na num = 98.9963053943 at 1.57318918919 uk\n",
      "init Na density = 1.38970774116e+11 cm^-3 (6.38501878216 %)\n",
      "\n",
      "init overlap density = 1.03095861053e+11 cm^-3 (9.15371005865 %) (34.2460276213 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.74185282272\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 35.0452534414 at 1.91963888889 uk\n",
      "init molecule density = 2.57196667855e+11 cm^-3 (10.3543743793 %)\n",
      "two-body rate coefficient = 3.01004597721e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.128079245177\n",
      "loss rate coefficient = 5.06163113463e-10 (15.7427233441 %) (36.5627315485 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 62.2600898617\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0951825105316\n",
      "\n",
      "loss rate from EXP fit = 52.6811191622\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.01004597721e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.126033980548\n",
      "loss rate coefficient = 5.43981406473e-10 (14.2800048778 %) (35.9571764646 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.01004597721e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.137801615023\n",
      "loss rate coefficient = 5.77740424364e-10 (15.3285924929 %) (36.3863401267 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 36 $$$ 36 $$$ 36 $$$ 36 $$$ 36 $$$ 36 $$$ 36 $$$ 36 $$$ 36 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.60857142857e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.582 +/- 0.03 uk (1.92387081553 %)\n",
      "mean Na temp = 1.609 +/- 0.014 uk\n",
      "111111    1.96951010101e-06\n",
      "222222       [25 32]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.96951010101e-06 *******\n",
      "init mol temp = 1.69569444444 (6.45606108539 %)\n",
      "mean mol temp = 1.96951010101 (2.67343849805 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 104.384104146E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 101.453304274k\n",
      "TOTAL Na num = 101.453304274k\n",
      "\n",
      "init mol temp/init Na temp = 1.05416173278\n",
      "init mol temp = 1.69569444444e-06 uk\n",
      "init na temp = 1.60857142857e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.79447865861\n",
      "\n",
      "init na num = 86.1094934468 at 1.60857142857 uk\n",
      "init Na density = 1.16913975565e+11 cm^-3 (6.51392153849 %)\n",
      "\n",
      "init overlap density = 92398349334.3 cm^-3 (9.10740565105 %) (34.2336798737 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.790310558576\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 20.8250567477 at 1.69569444444 uk\n",
      "init molecule density = 1.84090017682e+11 cm^-3 (13.1156367603 %)\n",
      "two-body rate coefficient = 2.65889499875e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.148616585758\n",
      "loss rate coefficient = 7.53920673215e-10 (17.4302533922 %) (37.3204197902 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 74.6126149221\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.11295882233\n",
      "\n",
      "loss rate from EXP fit = 69.9982777763\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.65889499875e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.146746218784\n",
      "loss rate coefficient = 8.17601333485e-10 (16.0519460766 %) (36.6969341069 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.65889499875e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.156268636792\n",
      "loss rate coefficient = 8.17595224063e-10 (16.9268814027 %) (37.0879942033 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.798\n",
      "\n",
      " $$$ 37 $$$ 37 $$$ 37 $$$ 37 $$$ 37 $$$ 37 $$$ 37 $$$ 37 $$$ 37 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.5635e-06\n",
      "222222       [8]\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.601 +/- 0.017 uk (1.05083703741 %)\n",
      "mean Na temp = 1.563 +/- 0.011 uk\n",
      "111111    1.88379166667e-06\n",
      "222222       [ 8 18 20]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.88379166667e-06 *******\n",
      "init mol temp = 1.89466666667 (7.21316619168 %)\n",
      "mean mol temp = 1.88379166667 (6.93999786663 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 94.5578924709E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 83.8286866428k\n",
      "TOTAL Na num = 83.8286866428k\n",
      "\n",
      "init mol temp/init Na temp = 1.21181110756\n",
      "init mol temp = 1.89466666667e-06 uk\n",
      "init na temp = 1.5635e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.81116870537\n",
      "\n",
      "init na num = 79.3532311797 at 1.5635 uk\n",
      "init Na density = 1.1243297621e+11 cm^-3 (6.91586246943 %)\n",
      "\n",
      "init overlap density = 83671138629.0 cm^-3 (9.99015837623 %) (34.4790264419 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.744186816443\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 16.5418783008 at 1.89466666667 uk\n",
      "init molecule density = 1.23808665206e+11 cm^-3 (12.8406878233 %)\n",
      "two-body rate coefficient = 2.97088885371e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0881112513308\n",
      "loss rate coefficient = 7.56997681446e-10 (13.3206302588 %) (35.5870649323 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 69.5118306075\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0745822445572\n",
      "\n",
      "loss rate from EXP fit = 63.5709272433\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.97088885371e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0851175111669\n",
      "loss rate coefficient = 8.32654120629e-10 (11.2071665743 %) (34.8511202492 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.97088885371e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0909521190148\n",
      "loss rate coefficient = 8.21039645544e-10 (11.6564812479 %) (34.9981935974 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 38 $$$ 38 $$$ 38 $$$ 38 $$$ 38 $$$ 38 $$$ 38 $$$ 38 $$$ 38 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.48335897436e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.363 +/- 0.066 uk (4.86727624884 %)\n",
      "mean Na temp = 1.483 +/- 0.023 uk\n",
      "111111    1.9268018018e-06\n",
      "222222       [34 37]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.9268018018e-06 *******\n",
      "init mol temp = 1.78470833333 (2.27466992923 %)\n",
      "mean mol temp = 1.9268018018 (3.13024636893 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 63.3113670137E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 53.1359148285k\n",
      "TOTAL Na num = 53.1359148285k\n",
      "\n",
      "init mol temp/init Na temp = 1.20315335949\n",
      "init mol temp = 1.78470833333e-06 uk\n",
      "init na temp = 1.48335897436e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.52419490413\n",
      "\n",
      "init na num = 50.2990885603 at 1.48335897436 uk\n",
      "init Na density = 77119932412.8 cm^-3 (6.94274712582 %)\n",
      "\n",
      "init overlap density = 57577921715.8 cm^-3 (9.37706526377 %) (34.3064039643 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.746602336315\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 35.8005753953 at 1.78470833333 uk\n",
      "init molecule density = 2.93092409615e+11 cm^-3 (7.16807950632 %)\n",
      "two-body rate coefficient = 2.79847119703e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0941800182975\n",
      "loss rate coefficient = 6.22591908704e-10 (13.2901509181 %) (35.5756674066 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 56.0750744119\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0745681549045\n",
      "\n",
      "loss rate from EXP fit = 36.2987901329\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.79847119703e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0924509674598\n",
      "loss rate coefficient = 6.52181270902e-10 (11.4318150837 %) (34.924008878 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.79847119703e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.111523160636\n",
      "loss rate coefficient = 9.08813774676e-10 (13.022624 %) (35.4765941974 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.595\n",
      "\n",
      " $$$ 39 $$$ 39 $$$ 39 $$$ 39 $$$ 39 $$$ 39 $$$ 39 $$$ 39 $$$ 39 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.64247222222e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.607 +/- 0.023 uk (1.41679216802 %)\n",
      "mean Na temp = 1.642 +/- 0.013 uk\n",
      "111111    1.79893981481e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.79893981481e-06 *******\n",
      "init mol temp = 1.74725 (2.8421469693 %)\n",
      "mean mol temp = 1.79893981481 (2.28243068964 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 145.164373481E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 94.7580315904k\n",
      "TOTAL Na num = 94.7580315904k\n",
      "\n",
      "init mol temp/init Na temp = 1.06379272438\n",
      "init mol temp = 1.74725e-06 uk\n",
      "init na temp = 1.64247222222e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 3.03075078003\n",
      "\n",
      "init na num = 120.302294209 at 1.64247222222 uk\n",
      "init Na density = 1.58307969788e+11 cm^-3 (6.74115304919 %)\n",
      "\n",
      "init overlap density = 1.24644963733e+11 cm^-3 (9.00031824339 %) (34.2053464897 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.787357477323\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 48.1860524569 at 1.74725 uk\n",
      "init molecule density = 4.07243552468e+11 cm^-3 (7.54630513007 %)\n",
      "two-body rate coefficient = 2.73973551178e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0525356878614\n",
      "loss rate coefficient = 6.13367108434e-11 (10.4214065017 %) (34.6064403467 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 9.79031485947\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0428686074981\n",
      "\n",
      "loss rate from EXP fit = 8.32673406064\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.73973551178e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0527831110233\n",
      "loss rate coefficient = 6.66207652755e-11 (8.04576918911 %) (33.9666660396 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.73973551178e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0602145693312\n",
      "loss rate coefficient = 7.19567472472e-11 (8.55171195427 %) (34.0900539358 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 40 $$$ 40 $$$ 40 $$$ 40 $$$ 40 $$$ 40 $$$ 40 $$$ 40 $$$ 40 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.66077777778e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.664 +/- 0.029 uk (1.71281866705 %)\n",
      "mean Na temp = 1.661 +/- 0.019 uk\n",
      "111111    1.5782254902e-06\n",
      "222222       [15]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.5782254902e-06 *******\n",
      "init mol temp = 1.67958333333 (3.39656737672 %)\n",
      "mean mol temp = 1.5782254902 (2.89458447828 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 153.922157779E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 103.471664472k\n",
      "TOTAL Na num = 103.471664472k\n",
      "\n",
      "init mol temp/init Na temp = 1.01132334248\n",
      "init mol temp = 1.67958333333e-06 uk\n",
      "init na temp = 1.66077777778e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.27150482577\n",
      "\n",
      "init na num = 131.364892376 at 1.66077777778 uk\n",
      "init Na density = 1.70015276716e+11 cm^-3 (7.08858701949 %)\n",
      "\n",
      "init overlap density = 1.36636566851e+11 cm^-3 (9.11066266768 %) (34.2345465027 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.803672290454\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 44.1317958935 at 1.67958333333 uk\n",
      "init molecule density = 3.95744336272e+11 cm^-3 (8.69823177828 %)\n",
      "two-body rate coefficient = 2.63363233843e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0696616916944\n",
      "loss rate coefficient = 5.03848395477e-11 (11.468726483 %) (34.9361086434 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 8.57990318821\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0550348998877\n",
      "\n",
      "loss rate from EXP fit = 7.53552083156\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.63363233843e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.071268172418\n",
      "loss rate coefficient = 5.59867939555e-11 (9.3055924085 %) (34.286937018 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.63363233843e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0782765219267\n",
      "loss rate coefficient = 5.71051632084e-11 (9.85264760989 %) (34.4394347358 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 41 $$$ 41 $$$ 41 $$$ 41 $$$ 41 $$$ 41 $$$ 41 $$$ 41 $$$ 41 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.6800625e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.618 +/- 0.024 uk (1.48765202743 %)\n",
      "mean Na temp = 1.68 +/- 0.023 uk\n",
      "111111    1.83376666667e-06\n",
      "222222       [14]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.83376666667e-06 *******\n",
      "init mol temp = 1.66266666667 (2.30505109406 %)\n",
      "mean mol temp = 1.83376666667 (4.03324033331 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 158.85500295E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 107.14231109k\n",
      "TOTAL Na num = 107.14231109k\n",
      "\n",
      "init mol temp/init Na temp = 0.989645722505\n",
      "init mol temp = 1.66266666667e-06 uk\n",
      "init na temp = 1.6800625e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.41832265612\n",
      "\n",
      "init na num = 136.025048375 at 1.6800625 uk\n",
      "init Na density = 1.73024121007e+11 cm^-3 (7.45194506626 %)\n",
      "\n",
      "init overlap density = 1.40249532103e+11 cm^-3 (9.25899105277 %) (34.2743185974 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.810577919928\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 43.1006091356 at 1.66266666667 uk\n",
      "init molecule density = 3.92410902258e+11 cm^-3 (7.17098271258 %)\n",
      "two-body rate coefficient = 2.6071065451e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.059971453934\n",
      "loss rate coefficient = 1.54919052913e-10 (11.0315306365 %) (34.7950379822 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 25.1320368719\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0533646966029\n",
      "\n",
      "loss rate from EXP fit = 22.3523421555\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.6071065451e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0596400842199\n",
      "loss rate coefficient = 1.72144703426e-10 (8.36795940991 %) (34.044423107 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.6071065451e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0661910299083\n",
      "loss rate coefficient = 1.76975960616e-10 (8.84680013516 %) (34.1652729044 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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ZMBu4QmutlVJ/BjZrrf/hePxvwH+11muPd/5T4RoWjJH7XuwVULDVSGCF26DwG2i2GY+ZAiAmE2JmQuxpxjo40dmUCEYPwtKGUvZX7yenKocD1Qc4UHOAPFueszbm5eFFojWRSdZJTAqeRHJQMpOCJhFnjjvhTc+dWto6yK2oNxJYcS37SurYV1JLaW3XtbEwszcpUca9YlOjLM6eir4mmSwTxumtIGLEuGWnC+g9YSmllgBLgQu11g2OsgcAtNYrHPsbgIe11sdtEjxVEtaY1NEBVYeMJFb0jZHASnZBuyMx+AYZSSx6BkRnGts9khhAS3sLebY8DtQc4GD1QQ7UHOBQzSHnsFMAPp4+JFoTSQ5KJtmaTFJQEsnWZOIscXh59K9Rocrewj6XBLa3uI79pV09FT09FAmh/sckstggPzxkFA8h+m3MJCyl1ELgd8D5Wutyl+NSgX9iXLeKAT4EJp+o04UkrDGmrQXK90LRdiOBFWdB6R5jUF8AHytEZxhJLCrD2A6dDJ7HJp2G1gYO1RziYM1BY207SG5NLsX2YucxJg8TEwMnkmRNIikoiSRrEonWRBICE/D1OvGYh+0dmvxKO/uK68gpqWVvSR05Jd3vGwvw9mRKlKVbIkuJshDkL508hOiNWyYspdTLwAVAGFAK/BKjV6APUOk4bIvWeqnj+J9hXNdqA/5Xa72+5zl7koQ1DrQ1Q9keKMqCkp1QvANKdnfVxLx8IWK6cU9YVLqRyCKng0/vI27YW+3k1uRyyHaIXFsuuTW55NpyKawvpEMbtSWFIsYcQ4I1gcTARGcSS7AmEO4XfsKRNuqb29hfaiSvzlpZTmkdNY6BgQGiAn2dyWtKpJHIpFlRCDdNWCNBEtY41d4GFfsdCWynsS7ZBU01XccEJ0JkqpHEIlONJSgBPHrv9dfc3szh2sPk2nLJt+WTZ8sjz5ZHfm0+jW1dvd78vfyZGDiRBGsCCYEJxrZj3VfPRXBcg6s1OnnkOGpi+0rqOFhWT0t792bFqVEWpkYGOhPahBB/aVYUp4xhT1hKqWAgHpdehlrrb076RENMEtYpRGuwFUDpbqMGVrrLWFflQuckMaYAiEgxamQR042aWMR0CAg/5tpY12mNzh6dyetw7WHybfnk1+ZTVF+EdpmAJsQ3hImBE5lgmWCsAycwwTKBCYET+hzZo/MG6H0ldex3JLGcUqNZsfNP0c/kyeRIM1MdNTEjoVkIt8i4imL8GdaEpZT6/4EbMUam6Hyy1lqP+sBhkrAELXYo32ckr7I9UJptrBsqu47xD4XwaUYyC0+BiGnGOiCs7/Ni1MqO1h51JrIjdUeMde0R56genUJ9Q5kQOIF4S7xzmWAx9q0+1mMST0NLGwdK6501sf2lxrqivqu3YpC/yWhOjLQ4rpNZmBJhwerf92ScQri74U5YOUC61rplIMENJ0lYoldag73cSFxlex3rfbSW7MHUVu88rNk7BJ/o6RA+xUhgYVMgfCpYovuskXVqaG3gaN1RZyLr3D5ad5SyhrJux1pMFuIsccRZ4oi3xBvbZmOJMkd1u7essr6Z/aX1zgS2v9SomdU1tzmPiQr0ZUqUhamR5m7Xx/y93ek2SyF6N9wJay3wY6112QkPHmGSsER/GdNi7CSotZzJHgVMVoVM8yxkXlgNoQ250GTrOtjbAmGTjQQWNtlYQidDSBKYTty7sLGtkcK6Qo7UHaGgroCjdUc5Wn+UwrpCCuoLaOvoSj4eyoMo/yjiLHHEmmONxRJLnDmOGHMMYX5hKBRFtiZn8nJeHyuvp8XR7V4piA/2Z0qkhSmRZqZGWZgcYSE5IgAfL+noIQZmOO65G+6ENRt4C9gNONsrtNaXndSJhoEkLNFfx50WY/k8qC8zmhYr9kPFAajIMda1Xfd7oTwgaIKRvEInOcZgnGQsgbF9dvhw1d7RTmlDKYX1hRTUFVBQX+DcLqwvpKKxotvx3h7exJhjupaAru1IvygamgI4WGpnf2k9OY6ei/kVdto6jL/zzo4eRiKzOBNaQpgMSyWOb7jmPhvuwW/XAI8Du4COATxfiFFX1EuycpYrBZZIY0k6v/sBzfVQeQAqDjrWB4z14U3Q2nU/Fl6+Rg0sJMlIZCGOAYVDkozxFh3JzNPD05lwTo86/Zh4GtsaKa4vprC+kML6Qorqi5zb+6r2UdVU1e14Lw8vIv0jiTHHED0hmkXToonwi4K2YOrsZsqr/cgta2FfSR0bskvo6Oyf4qlICjMz2dGsOCXSzORICxND/GW0ewHAyg053ZIVQGNrOys35IzYyCYDSVgVWuunhjwSIUZQTB+DtsacaNBWH7MxlFTMzO7lWhsTYVYcMEb0qHQsFfvhwHvQ7nLJ18sPQhKNrvghid23rfHg2XUNy8/Lz7jJOSip13AaWhsosZdQWF9Isb2YovoiiuxFlNhL+LL4S8oby533m3UK8gkiemo0qf6R+BCKbrPS0GChyubHN0XevLPTBzCaDb29PEgKC+iWxCZHmJkYGoCndL0/pRz3S94IGUjC2qaUWgGso3uT4Kh3axeiv4Z80FalIDDGWHrWyjrawXbUSGDVeVCVZ3S/r8qFQx9CW5PLeTzBGgfBCS7LRGMdlAD+Id06gPib/I+b0Fo7WilvKKfYXmws9cWU2EsothdTWF9AqX0bda11jtcGwiEwXGH1DsHfMxSP9iBami18URHAf/P80a2BdLRZMRFEclgwUxw1skkRZklk49yAv+QNoYEkrM6vlme6lGlg1Lu1C9Ffi2bGsvVwVbdBhK+cFTs8TRsenl3Jp6eODmOG56q8rmRWnQ81hyHnv0bvRlfeZgiaaFw7C3asXRffoG4JzeRhcjY59sXeaqe4vpjShlJKG0opsZdQYi8x9u2lVOtsmgPt+HUf/J5ibaaoPpD3Ki107AhEtwXi0WElKiCSpOBoUsLjSIuKZWpUoDQtjgPuMDK/jHQhTknDdQF5yDXXG8mr+nBXIqs+bKxrjkBLfffjvS0QFG8kL2u8sW2N79oOiOhXZ5Ce7K12ZzIrayijrKGMUnspZQ1lFNtLKbGXYmupBrr/P9HaA91mgbZA/D1DCPENJTogkoTgKKZFxJEaEUeUOYIQ35BeJ+4U7mUs9hJ8qLdyrfWvT+pEw0ASluiv4/YSvH+MNBZoDY3VRuKqOQw1Rx3bR4wmyJqjXVO6dPIwGc2W1nij6dEaa/RotMY7tmOOqaX1V2tHK5WNlc6EVlhXyoHKQvJriiltKMfWXEGTrkZ7NPTybA/8PYII8gklKiCceGskkQHhhPmFdS2+YYT6heJv8h/Y+yXc0nD3ErS7bPsClwB7B3AeIUaNO1xAHjSljGta/iHGdCy9abIZQ1jZCrqSWG2hsZ//udFRpOckCKaAruQVGNt1bS4w1riJOjDGGC2kR1IzeZiICogiKiDquGFXN9rJKjzKzpKj7K8o5IitlFJ7ObbWSmq96jhanc/Wkl14eNaDOvYLtb+XP6F+oYT6hhLqF0qYX5hzO9Q3lBC/EOe+v5e/DGc1jgy6SVAp5QOs01ovGJqQBq63GlZraysFBQU0NTX18SxxKiqxNTnvTXLl5aGIsp74ZuDh5uvrS1xcHCbTMA+71NEOdSVGEqstBFthV0KrLTKW+hLo0dMQTx+wRBnJyxIFlhgIjDYSmiXaURYN3v2vDTW1tpNfaedAaT0Hyuo5UGpjf0UJR22ltHvUorzq8fCqw+zfSIB/I97eDbR72GjqsGFvq+31nL6evoT4hhDiG0KoX6hzO8Q3hBC/EEJ8jHWwTzAhviGYPGWYq5E2oqO1OwbC/UprPXlQJxoCvSWsvLw8LBYLoaGh8k1LOFU3tFBY3UiHy+ffQylig/0IHuW5q7TWVFZWUldXR2Ji4qjGAhij5deXGrWx2kKodazrio3tOsfS2ktTn4/VuJ/NHOlIZJHGfWiWKDBHOLYjwSewz2bItvYODlc1cLCsnoNl9RwoNUb1OFhWT1NrZyJtJySwmdiwdiKD27AGNOHv14inyU6ztlHVVGUsjca6Tbf1+loWk4Vg32DnEuJrJDNnWY9tPy8/+b8ySMPaJKiU2kXXlVVPIBwY9etXfWlqaiIhIUE+VKKbzqRUamuipb0Db08PIq2+o56sAJRShIaGUl5efuKDR4Knl9FEaI0F+vi/orXR/FhX0pXA6kq69utL4egWqCvtmtvMlZefI4FFuqyNbS9zBMnmSJJjwlkwJRZMRjfqjg5NYU0jB8vrOdSZzMrq+XpPPbbGrrnIArw9SY4wMynczAURZpLDA4gK1pj9m6htqXEms+qm6q51cxWF9YXsrthNTVNNnwnO28ObIN8ggn2Cu9Y+QQT7BmP1sTr3rb5WgnyCCPIJkmbKQRjINaxLXLbbgFKt+/htugn5cIjeBPt7u0WC6s2Y+8wqBX5BxhKR0vdxWhvzmNWVGk2NdaVGMnMuZcb9aoe/gMaq3s/hbYGAMDzMEcQHhBNvjmBeQDjEh0NKODogjGqCONTgyz6bJ4fKjdrZ5txKXt/eNbSWyVMxMTSA5PAgJkXEkRxu5qxYM8nhZgJ8uv41aq2pa62juqma6qZqapprjO3mamqaaqhu7irfa99LdVM1tS29N1GCca3P6mMksM51kE8QgT6BRpm31blv9bFi9bZi9bH2a1bs8e6kE5bW+rBSyhOIdDw/RimF1vrIkEcnhBhflAK/YGM5XmIDaGuBhoquRFZfBvbOdbkjuR2EI5uhoYrOhh8FhDiW05WnMW1MQDjEhNKaFEqNCqSs3UxhSwC5dl/2FXnz4V5vXukwU42FDjyItvqSHG7UxjprZ8kRkcwIn9CvLxNtHW3UttRS01RDTbOx2Jpt3barm6qxtdg4XHuYHc07qGmu6TYQck8+nj5Yva0E+gQS6B1oJDRHMnPddz7uKLN4W7rNADCWDaRJ8E6M6e1L6RpLUAMZQxiXEOJU5+Xd1UPxRNrbjDnP7GVgr3As5UbC69xvqMBUmkW4vZLwZhuprs93VLQ1iiavQGq1lcoSM8VH/SlvN7MDCx9rM41eQfhaw7GERBAaHkVUVCwTY2OYEBaIt1fXfWReHl7Ozh39pbWmsa0RW7MNW4vNWDuSXG1LLbXNtc5tW7ONwvpC9jbvpbalttss2b3x9/J3Jq9A766167bF29LrYjaZ3eYeuYE0Cd4NTNVaV57wSCGEGAmeXl0DFvdHW4uR4DoTWkMlNFSi7BX4NVbh11BJZEMl0+wVdNgLUI1VeHQ4xoOsdSz5xm6HVtTiT7mHhWbvILRvMJ4BIfhZwwkMjsDPGt5Vq/QLdjSdBoOv1RgFxUEphb/JH3+TP9FEn9SP39reiq3F5kxsnUmttsXYrmupo7bZsW6ppbi+mP0t+6ltqaW+tf6451YoAkwBRvLyNmMxWbhj5h29DtY83AaSsI4CthMeJZz+8Y9/8NRTT9HS0sKcOXN48MEHueiii9i8eTMhISGcf/75/OIXv2DKlCksXLiQOXPmsH37dqZMmcKLL76Iv7/cKCnEkPLyNrrhBx4/MSgcwwBrbYwq0lBlXFtrqKSptoKq8hJsVSU02Spoq69ENVXjU12KtfogfoV2/FRvN0kbNArlG+hIXkEuicyxfczaamz7Wo9JdiZPk/MG65PV3tFOfWu9M7F1JrX6lnpnQqttNtadj49WjWsgCSsX+Fgp9R+6D377uyGLapj86u1s9hT1fTF0IKbHBPLLS1P7fHzv3r3861//YtOmTZhMJn7yk5/wySefsHz5cpYuXcqcOXOYPn068+fPJz8/n5ycHP72t78xd+5cbr75Zp5++mnuvffeIY1ZCHGSlAIfi7EETwSMURNiHIur9g5NQXUD28rtHCqppqSshPLyUmorS6HJRhD1BKl6QjzsxLY3E9PaRHhHA9bGasz6CN6ttXg01cBxrmcBxq0AncnLuXQmNMdjzmN67PsEGkkbY4obq49xLczdDSRhHXEs3jhbfk9MKfU8Rg/DMq11mqMsBPgXkIBRwb5Ga12tjKuafwC+AzQAN47V0eA//PBDtm3bxumnG9XnxsZGIiIiePjhh3n11VdZtWoVWVlZzuPj4+OZO3cuADfccANPPfWUJCwhxhBPD6P34cTQAOYF9KZdAAAgAElEQVSlRABdg8PaGlo5VFFPbrmdQ+X1bCg3tvMr7LS2d90TGOznxfRwL6YFdzA5sJ1Ecytxfi1EeDXh1VoLjTVGb8umWsfaZowx2bzLKOs5JFdvvHwdCSyw+9q5bXHsW47dt8YbU+2MsIH0EvzVAF9rNfAn4EWXsvuBD7XWjyml7nfsLwcuBiY7ljnAM471oByvJjRctNYsWbKEFStWdCtvaGigoKAAgPr6eiwWC3Bsd+Yx171ZCNEnq7+J0yYEc9qE4G7lbe0dFFQ3kutMZnZyy+t5K89OeV074AH44qF8iQ+JISksgKRwM4nRASSFB5AcbibC4tP1/6KjHZrrjETWZIPmWkciq3WUOZJaZ1lznbFdV9JV1nNgZVdXr4HURcP2PvVlIDWsAdFaf6qUSuhRfDlwgWN7DfAxRsK6HHhRG8NwbFFKBSmlorXWxSMT7dC58MILufzyy7nnnnuIiIigqqqKuro6nnjiCRYvXszEiRO59dZbeeeddwA4cuQImzdv5qyzzuLll1/mnHPOGeWfQAgx3Lw8PUgICyAhLIBv9ejtX9vUSl653ZnMcsvt5FbY2Zxb6TLSh3GDdGJ4AElhZhLDjESWFBZEYngsZp8B/KvvaDeSVmcya65zLLUQN/IdLmAEE1YfIjuTkNa6WCkV4SiPxejc0anAUXZMwlJK3QbcBjBhwoThjXYApk+fziOPPML8+fPp6OjAZDLxu9/9jq+//ppNmzbh6enJ2rVreeGFF5g3bx7Tpk1jzZo1/M///A+TJ0/mxz/+8Wj/CEKIURToa2JGfBAz4oO6lXd0aIprm8gtryevoiuRfXOkmrd3FuE66l6ExceRxMwkhQWQGBZAYngA8cH+3brjd+Ph2XVtzE0ub412wupLb+1gvQ56qLV+FngWjLEEhzOogbr22mu59tpru5Vt2bLFuf36668DkJ+fj4eHB6tWrRrR+IQQY4+HhyI2yI/YID/OnRze7bGm1nYOVzaQV1HPIcc1stwKO+/uLqa6oWvYKk8PRXywn5HAwsyOGpqR0KICffFws9mjB3LjsC9wC5CK0VEGAK31zQN4/dLOpj6lVDRQ5igvAOJdjosDigZwfiGEOOX4mjyZGmVhapTlmMdqGlrIq7A7a2V5lcZ6S25VtwlNfU0eJIQ6amOO5srOZBYS4D0q19cHUsP6O7APWIAx6O1iBj4f1jpgCfCYY/2WS/kdSqlXMDpb2Mbi9auTlZCQwO7du0c7DCHEOBbk783MCd7M7NHxo6NDU1rX5Exk+Y6kllNSx/t7SrtNx/OH6zK5PHPkZ+YeSMKapLW+Wil1udZ6jVLqn8CGEz1JKfUyRgeLMKVUAcbwTo8B/1ZK3YLRVf5qx+H/xejSfhCjW/tNA4hTCCFEP3l4KKKtfkRb/Tg7ufsNyJ29GDtrZjPjg/s4y/AaSMLqbACtUUqlASUY91Edl9b6+j4eurCXYzVw+wBiE0IIMcRcezHOG804BvCcZx2TNv4Co+nODDw0pFEJIYRwO29uL2TlhhyKahqJCfJj2YKpLJo5ck2DA7lx+DnH5idA0tCGI4QQwh29ub2QB17f5eyYUVjTyAOv7wIYsaQ1kF6CPsCVGM2Azudrrd121mEhhBCDs3JDTrdehACNre2s3JAzYglrIEPuvoUxEkUbYHdZxDBbvXo1d9xxxwmPKSrqugPgRz/6EXv27Dmp12lubuaiiy4iMzOTf/3rXwOKdSR8/PHHXHLJJb0+dv3115ORkcHvf/97HnroIT744AMAnnzySRoa+h5BWwjRu6Ka3ufc6qt8OAzkGlac1nrhkEcihsTq1atJS0sjJsYYQ/q55547wTOOtX37dlpbW7sNytupvb0dT0/PXp7lPkpKSvjiiy84fPjwMY89+eST3HDDDTJlixAnKSbIj8JeklNMkN+IxTCQhPWFUipda71ryKMZbuvvh5IhDjsqHS5+7LiHLFq0iKNHj9LU1MTdd9/NbbfdBoDZbObuu+/mnXfewc/Pj7feeovIyEjefvttHnnkEVpaWggNDeWll14iMrJrYrq6ujoyMjLYv38/JpOJ2tpaMjIyWLlyJVu3bmXx4sX4+fmxefNmLr74Yp544glmz57Nu+++y4MPPkh7ezthYWF8+OGHx8RaVlbGDTfcQHl5OZmZmaxdu5YLL7yQm2++mffee4877riDlJQUli5dSkNDA8nJyTz//PMEBwdzwQUXMHPmTLZt20Z5eTkvvvgiK1asYNeuXVx77bU88sgjx7ye2Wzm9ttv54MPPiA4OJhHH32U++67jyNHjvDkk09y2WWX0dTUxI9//GO2bt2Kl5cXv/vd75g3r+++SvPnz6esrIzMzEz++Mc/8re//Y1LLrmEoqIiioqKmDdvHmFhYWzcuLG/v2UhTnnLFkztdg0LwM/kybIFU4/zrKE1kCbBc4BtSqkcpdROpdQupdTOoQ5sPHn++efZtm0bW7du5amnnqKy0pis2W63c+aZZ7Jjxw7OO+88/vrXvwJwzjnnsGXLFrZv3851113Hb37zm27ns1gsXHDBBfznP/8B4JVXXuHKK6/k6quvZvbs2bz00ktkZWXh59f1zae8vJxbb72VtWvXsmPHDl599dVeY42IiOC5557j3HPPJSsri+TkZAB8fX35/PPPue666/jhD3/I448/zs6dO0lPT+dXv+oawN/b25tPP/2UpUuXcvnll/PnP/+Z3bt3s3r1aufP7cput3PBBRewbds2LBYLP//5z3n//fd54403eOgho/Ppn//8ZwB27drFyy+/zJIlS2hqaurz/V63bh3JyclkZWVx7rnnOsvvuusuYmJi2LhxoyQrIU7SopmxrLgindggPxQQG+THiivS3buXIMbUH2PTCWpCw+Wpp57ijTfeAODo0aMcOHCA0NBQvL29nddgZs2axfvvvw9AQUEB1157LcXFxbS0tJCYmHjMOX/0ox/xm9/8hkWLFvHCCy84k11ftmzZwnnnnec8V0hIyEn9DJ1jIdpsNmpqajj//PMBWLJkCVdffbXzuMsuuwyA9PR0UlNTiY42ZnRNSkri6NGjhIaGdjuvt7c3CxcudD7Hx8cHk8lEeno6+fn5AHz++efceeedAKSkpDBx4kT2799/UvELIQZv0czYEU1QPZ10DUtrfbi3ZTiCGw8+/vhjPvjgAzZv3syOHTuYOXOms3ZgMpmc43F5enrS1mbMMHrnnXdyxx13sGvXLv7yl7/0WpuYO3cu+fn5fPLJJ7S3t5OWlnbcOLTWgxr7KyAgoF/H+fj4AODh4eHc7tzv/Plcub4Hrs9xPV5rtxzTWAgxwgbSJChOgs1mIzg4GH9/f/bt29dtlPbjPSc21vgWs2bNmj6P++EPf8j111/PTTd1jVxlsVioq6s75tizzjqLTz75hLy8PACqqqpO9kcBwGq1EhwczGeffQbA3//+d2dta7icd955vPTSSwDs37+fI0eOMHXqwNrN+3p/hBDuTxLWMFu4cCFtbW1kZGTwi1/8gjPPPPOEz3n44Ye5+uqrOffccwkLC+vzuMWLF1NdXc3113eNenXjjTeydOlSMjMzaWzs6tETHh7Os88+yxVXXMGMGTOOme7kZKxZs4Zly5aRkZFBVlaW81rTcPnJT35Ce3s76enpXHvttaxevbpb7e1k3HbbbVx88cXH7bQhhHBPajw1t8yePVtv3bq1W9nevXuZNm3aKEU0vF577TXeeust/v73v492KGIYjOfPrhCdlFLbtNaz+3Osu07gKE7gzjvvZP369fz3v/8d7VCEEGJESMIao/74xz8O+hwvvPACf/jDH7qVzZ0719mNXAgh3IkkrFPYTTfd1K3DhhBCuDPpdCGEEGJMkIQlhBBiTJCEJYQQYkyQhCWEEGJMkIQ1hozH+bASEhK48sornfuvvfYaN95440mdY9myZaSmprJs2TJWrVrFiy++CBz7XgghxjbpJTjOjMX5sLZu3Up2djapqakDev5f/vIXysvLjxn9oud7IYQY29wiYSml7gF+BGhgF3ATEA28AoQA3wA/0Fq3DOZ1Hv/qcfZV7RtktN2lhKSw/Izlxz1G5sPqez4sgHvvvZdHH33UOV5gp6+++or//d//pbGxET8/P1544YVjxhC87LLLsNvtzJkzhwceeIC9e/diNptJSEg45r1wnW5FCDH2jHqToFIqFrgLmK21TgM8geuAx4Hfa60nA9XALaMX5eDIfFh9z4cFcM011/DNN99w8ODBbuUpKSl8+umnbN++nV//+tc8+OCDxzx33bp1+Pn5kZWV1W18xKuuuqrP90IIMTa5RQ0LIw4/pVQr4A8UA98Cvu94fA3wMPDMYF7kRDWh4SLzYfU9HxYYU6ssW7aMFStWcPHFXdOt2Ww2lixZwoEDB1BK0draelIxCyHGl1GvYWmtC4EngCMYicoGbANqtNadEygVAL3OGqaUuk0ptVUptbW8vHwkQj4pMh8Wzv3e5sPq9IMf/IBPP/2UI0eOOMt+8YtfMG/ePHbv3s3bb7993FmGhRDj36gnLKVUMHA5kAjEAAH0Pqtxr8PKa62f1VrP1lrPDg8PH75AB0jmw+ofk8nEPffcw5NPPuksc30fVq9efdLnlLmvhBhfRj1hARcBeVrrcq11K/A6cDYQpJTqbLKMA8Zk/2SZD6v/brnllm61sPvuu48HHniAuXPn0t7eftLn6+u9EEKMTaM+H5ZSag7wPHA60AisBrYC5wFrtdavKKVWATu11k8f71wyH5YYT8bzZ1eITmNqPiyt9ZdKqdcwuq63AduBZ4H/AK8opR5xlP1t9KJ0PzIflhDiVDPqCQtAa/1L4Jc9inOBM0YhnDFB5sMSQpxq3CJhidEh82EJIcYSd+h0IYQQQpyQJCwhhBBjgiQsIYQQY4IkLCGEEGOCJKwe3txeyNzHPiLx/v8w97GPeHN74aDPaTabhyAyw7Jly0hJSSEjI4Pvfe971NTUANDa2sqSJUtIT09n2rRprFix4rjneffdd5k6dSqTJk3iscce6/WY1atXEx4eTmZmJpmZmd2mKlm+fDlpaWmkpaV1mzPrxhtvJDEx0fmc3qYo6TRr1ixaWowB+FesWHHMaO2rV6/Gw8ODnTt3OsvS0tLIz88H4OWXXyY9PZ2MjAwWLlxIRUWF87g//vGPTJ06ldTUVO67774+Y2hoaGDx4sWkp6eTlpbGOeecQ319PWAMl9X5c2RmZpKfn89XX33l3J8xY4ZzjMiennzySRoaGvp8XYCamhqefvq4txYKIVxprcfNMmvWLN3Tnj17jinryxvfFOiUn6/XE5e/41xSfr5ev/FNQb/P0ZuAgIBBPd/Vhg0bdGtrq9Za6/vuu0/fd999WmutX3rpJX3ttddqrbW22+164sSJOi8vr9dztLW16aSkJH3o0CHd3NysMzIydHZ29jHHvfDCC/r2228/pvydd97RF110kW5tbdX19fV61qxZ2mazaa21XrJkiX711VdP+HPk5eXpSy+91Ll/wQUX6LKysmNePz4+Xl9zzTXOstTUVJ2Xl6dbW1t1eHi4Li8v11prvWzZMv3LX/5Sa631Rx99pC+88ELd1NSktda6tLS0zzgeffRRfc899zj39+3b53xeb783u93ufP+Liop0eHi4c9/VxIkTnbEd7z1ITU3t8/GT+ewKMVYBW3U//8dLDcvFyg05NLZ2HwKosbWdlRtyBn3u+vp6LrzwQk477TTS09N56623AMjPz2fatGnceuutpKamMn/+/OMOIzR//ny8vIy7Ec4880wKCgoAUEpht9tpa2ujsbERb29vAgMDez3HV199xaRJk0hKSsLb25vrrrvOGU9/7Nmzh/PPPx8vLy8CAgKYMWMG7777br+fD7B+/XoWLlwIQG1tLS0tLfQ2FuQll1xCdnY2OTndfwedH2C73Y7WmtraWudEjc888wz333+/c/DdiIiIPuMoLi52jlcIMHXq1GMmgnTl7+/vfP+bmpp6HVD4qaeeoqioiHnz5jFv3jwOHz7M5MmTqaiooKOjg3PPPZf33nuP+++/n0OHDpGZmcmyZcv6fE0hhEESlouimt4TRV/lJ8PX15c33niDb775ho0bN/LTn/4U7RgW68CBA9x+++1kZ2cTFBTE2rVr+3XO559/3jkdx1VXXUVAQADR0dFMmDCBe++9t88pRAoLC4mPj3fux8XFUVjYe9Pn2rVrycjI4KqrruLo0aMAzJgxg/Xr19PQ0EBFRQUbN250Pgbws5/9jIyMDO655x6am5t7Pe+7777rTFgffPABF154Ya/HeXh4cN999/Hoo492KzeZTDzzzDOkp6cTExPDnj17uOUWY8q0/fv389lnnzFnzhzOP/98vv76617PDXDzzTfz+OOPc9ZZZ/Hzn/+cAwcOOB9rbGx0Nv9973vfc5Z/+eWXpKamkp6ezqpVq5wJrNNdd91FTEwMGzduZOPGjUycOJHly5ezdOlSfvvb3zJ9+nTmz5/PY489RnJyMllZWaxcubLPGIUQBklYLmKCep/kr6/yk6G15sEHHyQjI4OLLrqIwsJCSktLAZzXfMC4rtN5jeZ4/u///g8vLy8WL14MGLUmT09PioqKyMvL47e//S25ubl9xtJTbzWFSy+9lPz8fHbu3MlFF13EkiVLAKOW953vfIezzz6b66+/nrPOOsv5T3vFihXs27ePr7/+mqqqKh5//PFjztvS0kJBQQFJSUmAkbxc58Hq6fvf/z5btmxxjjQPxjW7Z555hu3bt1NUVERGRobzul1bWxvV1dVs2bKFlStXcs011/T6MwNkZmaSm5vLsmXLqKqq4vTTT2fv3r0Azokhs7Kyul2rmjNnDtnZ2Xz99desWLGiX9Oe/OhHP6Kuro5Vq1bxxBNPnPB4IcSxJGG5WLZgKn4mz25lfiZPli2Y2scz+u+ll16ivLycbdu2kZWVRWRkpPMfnWsTlOu8WH1Zs2YN77zzDi+99JIz0fzzn/9k4cKFmEwmIiIimDt3Lj0HAu4UFxfXrUZUUFDgbE5zFRoa6ozt1ltvZdu2bc7Hfvazn5GVlcX777+P1prJkycDEB0djVIKHx8fbrrpJr766qtjzvvZZ59xzjnnOPe/+uorzjij71G4vLy8+OlPf9ot+XV25khOTkYpxTXXXMMXX3zh/PmuuOIKlFKcccYZeHh4dOuQ0ZPZbOaKK67g6aef5oYbbuj3+IzTpk0jICCA3bt3n/DYhoYGZ/NtZ6cOIcTJkYTlYtHMWFZckU5skB8KiA3yY8UV6Sya2evckSfFZrMRERGByWRi48aNHD58eEDneffdd3n88cdZt24d/v7+zvIJEybw0UcfOa/rbNmyhZSUlF7Pcfrpp3PgwAHy8vJoaWnhlVdecc4U7Kq4uNi5vW7dOufI4e3t7c7p7nfu3MnOnTuZP39+t+dorXnzzTd7nVjStUaVnZ1NSkoKnp6exxzn6sYbb+SDDz6gc5LO2NhY9uzZ49x///33nfEtWrSIjz76CDCaB1taWvqcpmXTpk1UV1cDRs1vz549TJw4sc848vLynF8oDh8+TE5ODgkJCccc13MuruXLl7N48WJ+/etfc+utt/Z6jBDi+GQswR4WzYwdkgTVqa2tDR8fHxYvXsyll17K7NmzyczM7DOZnMgdd9xBc3Mz3/72twGj48WqVau4/fbbuemmm0hLS0NrzU033URGRkav5/Dy8uJPf/oTCxYsoL29nZtvvpnU1FQAHnroIWbPns1ll13GU089xbp16/Dy8iIkJMQ5iWJrayvnnnsuAIGBgfzjH/9wNgkuXryY8vJytNZkZmayatWqY17/448/5te//jXQvfPF8Xh7e3PXXXdx9913AxATE8Mvf/lLzjvvPEwmExMnTnTGd/PNN3PzzTeTlpaGt7c3a9as6XO25UOHDvHjH/8YrTUdHR1897vf5corr+wzjs8//5zHHnsMk8mEh4cHTz/9tDMZfuc73+G5554jJiaG2267jYsvvpjo6Ggefvhhvv76azZt2oSnpydr167lhRde4KabbmLu3LmkpaVx8cUXy3Us4fbe3F7Iyg05FNU0EhPkx7IFU4f0/+WJjPp8WEPJHefD2rFjB7feemuvTWOnooKCAm699VbWr18PwLe//W1efPFFoqOjRzky9zPan10hXL25vZAHXt/VrSe1n8lz0K1QJzMfljQJDqNVq1Zx/fXX88gjj4x2KG4jLi7OmazAaMqTZCWE+xvO2376S5oEh9HSpUtZunTpgJ57++23s2nTpm5ld99990lNB1JZWdlrd/EPP/yQ0NDQAcU1Vm3YsIHly5d3K0tMTOxzpAohRHfDedtPf50SCUtr3ec1DHc1FJMohoaGHndopFPJggULWLBgwWiH0W/jqalejA8xQX4U9pKchuK2n/4a902Cvr6+VFZWyj8AMWZoramsrMTX13e0QxHCaThv++mvcV/DiouLo6CgwNn9WYixwNfXl7i4uNEOQwinzo4V0ktwiPTWS1AIIYT7GnO9BJVSQUqp15RS+5RSe5VSZymlQpRS7yulDjjWwaMdpxBCiNHjFgkL+APwrtY6BZgB7AXuBz7UWk8GPnTsCyGEOEWNesJSSgUC5wF/A9Bat2ita4DLgTWOw9YAi0YnQiGEEO7AHTpdJAHlwAtKqRnANuBuIFJrXQygtS5WSvU6qZFS6jbgNsduvVJqqO5iCwP6HjHVPUiMQ0NiHBoS49A41WLse/DOHka904VSajawBZirtf5SKfUHoBa4U2sd5HJctdZ6xK5jKaW29vdC4GiRGIeGxDg0JMahITH2bdSbBIECoEBr/aVj/zXgNKBUKRUN4FiXjVJ8Qggh3MCoJyytdQlwVCnVeffZhcAeYB2wxFG2BOj/HO5CCCHGHXe4hgVwJ/CSUsobyAVuwkim/1ZK3QIcAa4e4ZieHeHXGwiJcWhIjENDYhwaEmMfRv0alhBCCNEfo94kKIQQQvSHJCwhhBBjwimZsJRSC5VSOUqpg0qpY0bQUEr5KKX+5Xj8S6VUgstjDzjKc5RSwzZfxUBjVEqFKqU2KqXqlVJ/Gq74Bhnjt5VS25RSuxzrb7lhjGcopbIcyw6l1PfcLUaXxyc4ft/3ulN8SqkEpVSjy/u4ajjiG0yMjscylFKblVLZjs/ksAyTP4j3cbHLe5illOpQSmW6WYwmpdQax/u3Vyn1wHDEh9b6lFoAT+AQxg3L3sAOYHqPY34CrHJsXwf8y7E93XG8D5DoOI+nm8UYAJwDLAX+5Kbv40wgxrGdBhS6YYz+gJdju/O2Ci93itHl8bXAq8C97hQfkADsHq7P4BDF6AXsBGY49kPd7W+6xzHpQK4bvo/fB15xbPsD+UDCUMd4KtawzgAOaq1ztdYtwCsYw0C5ch0W6jXgQqWUcpS/orVu1lrnAQcd53ObGLXWdq3150DTMMQ1VDFu11oXOcqzAV+llI+bxdigtW5zlPsCw9U7aTCfR5RSizB61ma7Y3wjZDAxzgd2aq13AGitK7XW7Qy9oXofrwdeHob4BhujBgKUUl6AH9CCMQDEkDoVE1YscNRlv8BR1usxjn9aNoxvXv157mjHOFKGKsYrge1a62Z3i1EpNUcplQ3sApa6JDC3iFEpFQAsB341DHENOj7HY4lKqe1KqU+UUue6YYxTAK2U2qCU+kYpdZ8bxujqWoYvYQ0mxtcAO1CMcRvSE1rrqqEO0F3uwxpJvX3z6/ntua9j+vPcoTCYGEfKoGNUSqUCj2N8yx0Og4pRG6OvpCqlpgFrlFLrtdZDXXMdTIy/An6vta4fxgrNYOIrBiZorSuVUrOAN5VSqVrrof7mPZgYvTCa0E8HGoAPlTE/04dDG+KQ/L3MARq01ruHMrD+vv4JjjkDaAdigGDgM6XUB1rr3KEM8FSsYRUA8S77cUBRX8c4qrhWoKqfzx3tGEfKoGJUSsUBbwA/1FofcscYO2mt92J8e0xzsxjnAL9RSuUD/ws8qJS6w13iczSdVwJorbdhXB+ZMsTxDSpGR/knWusKrXUD8F+MoeHcKcZO1zF8tavBxvh9jCmiWrXWZcAmYOjHGhyOi3fuvGB8o8rF6DTReWExtccxt9P9wuK/HdupdO90kcvwXKAdcIwuj9/I8Ha6GMz7GOQ4/ko3/l0n0tXpYiLGH26YO8XY45iHGZ5OF4N5D8M7/z4wLuQXAiFuFmMw8A2OTjbAB8B33SlGx74HRrJIGurYhuh9XA68gFEDC8AYXi9jyGMcrh/enRfgO8B+jG98P3OU/Rq4zLHti9Hr6iDwleuHBPiZ43k5wMVuGmM+xreeeseHfLo7xQj8HKPGkuWyRLhZjD/A6MiQ5fiHtsgdf9cu53iYYUhYg3wPr3S8hzsc7+Gl7vgeAjc44twN/MZNY7wA2DJcsQ3B79rsKM/GSFbLhiM+GZpJCCHEmHAqXsMSQggxBknCEkIIMSZIwhJCCDEmSMISQggxJkjCEkIIMSZIwhJikJRSQUqpn7jsxyilXhum11qklHpoCM/3hBrG0fKFGErSrV2IQXJMsfCO1no4RsLo+VpfYNwTUzFE55sI/FVrPVzDYwkxZKSGJcTgPQYkO+YqWumYB2o3gFLqRqXUm0qpt5VSeUqpO5RS/59jQNgtSqkQx3HJSql3lTE/2GdKqZSeL6KUmgI0dyYrpdTVSqndypiv61NHmacjhq+VUjuVUv/j8vz7HPMV7VBKPQagtT6MMZBu1LC/S0IM0qk4+K0QQ+1+IE1rnQnOGperNIw5wHwxRghYrrWeqZT6PfBD4EngWYwR4Q84Bjl9GujZVDcXY8SITg8BC7TWhUqpIEfZLYBNa326Y8qWTUqp94AUYBEwR2vd0JkoHb5xnHvtgN8BIUaAJCwhht9GrXUdUKeUsgFvO8p3ARlKKTNwNvCqy6jrvc0PFg2Uu+xvAlYrpaNjsXQAACAASURBVP4NvO4om+8451WOfSswGbgIeEEbA7yiu0/9UIYxyrYQbk0SlhDDz3Wurw6X/Q6Mv0EPoKazhnYcjRgJCACt9VJHbey7QJZj2nQF3Km13uD6RKXUQvqefsbXcW4h3JpcwxJi8OoAy0CfrI35ofKUUlcDKMOMXg7dC0zq3FFKJWutv9RaPwRUYEz7sAH4sVLK5DhmimOix/eAm5VS/o5y1ybBKRgDvwrh1iRhCTFI2pjzaZOjA8TKAZ5mMXCLUmoHxojXPacmB/gUmOkybfpKRyeK3Y7HdgDPYYyW/Y2j/C8Y06S8C6wDtiqlsoB7ARyJbRKwdYBxCzFipFu7EGOIUuoPwNta6w+G6HzfA07TWv9iKM4nxHCSGpYQY8ujGJMNDhUv4LdDeD4hho3UsIQQQowJUsMSQggxJkjCEkIIMSZIwhJCCDEmSMISQggxJkjCEkIIMSZIwhJCCDEmSMISQggxJkjCEkIIMSZIwhJCCDEmSMISQggxJkjCEkIIMSZIwhJCCDEmjKsZh8PCwnRCQsJohyGEEKKftm3bVqG1Du/PseMqYSUkJLB1q8xDJ4QQY4VS6nB/j5UmQSGEEGOCJCwhhBBjgiQsIYQQY8K4uoYlxKmgtbWVgoICmpqaRjsUIfrN19eXuLg4TCbTgM8hCauHN7cXsnJDDkU1jcQE+bFswVQWzYwd7bCEcCooKMBisZCQkIBSarTDEeKEtNZUVlZSUFBAYmLigM8jTYIu3txeyAOv76KwphENFNY08sDru/4fe3ceF1X1PnD8c1hkc0ERk0XZXEBWRdwXFHMpM7cs8+uSaVlaZoVLZdm3Rcv6ulVamlpmapZLaS6VW/nLfUFFFBVUwNxRFFSQ8/tjhgkUFWWAQZ/363Vfzr1z75lnRuCZc++552HJzuSSDk0IkytXruDi4iLJSpQaSilcXFwKfVZAElYu41cdICPzep5tGZnXGb/qQAlFJET+JFmJ0sYcP7OSsHJJSc24q+1CCCGKjySsXCo45H8x8FbbhXhQTZ48mYCAAHr16nXb/cqWLQtAYmIiQUFBRR5XzusVdh9hmWTQRS636rHK2Rch8vriiy9YsWJFoS6gC3G3pIeVS2p6punx1bi/uBy74abtQjzoBg0axJEjR+jUqRMTJkxgzJgxfPLJJ6bng4KCSExMLFBb69ato2XLlvTo0YNatWoxcuRI5s6dS4MGDQgODubw4cMAHD16lKioKEJCQoiKiuLYsWMAJCQk0LhxYyIiIhg9enSetsePH09ERAQhISG888475nnzokRJDysXd2cHklMzCDh1hL9+/phLOhudnUntZh1LOjQh8vfKK7Brl3nbDAuDiRNv+fS0adNYuXIla9eupXLlyowZM6ZQL7d79272799PpUqV8PX1ZcCAAWzZsoVJkyYxZcoUJk6cyJAhQ+jTpw99+/Zl5syZvPzyyyxZsoShQ4fywgsv0KdPHz7//HNTm6tXryY+Pp4tW7agtaZTp05s2LCBFi1aFCpWUbKkh5VLK3/DhMGpdmVx7jOB6o4VOLt8Atl/TicjQwZeCFEUIiIicHNzw87ODj8/P9q2bQtAcHCwqaf2999/8/TTTwPQu3dv/vrrLwA2btxIz549TdtzrF69mtWrV1O3bl3q1atHXFwc8fHxxfiuRFGQHlYua+NOA3CiQhVsylUm+8VvCP7pPTb9Op+qrr+we+9epHyJsCi36QkVFxsbG7Kzs03rd3uvjZ2dnemxlZWVad3KyoqsrKx8j8k9RDq/4dJaa0aNGsXzzz9/V7EIyyY9rFxyD1/XVlYoaxsuPjEGtzqtsMu4gtuMGZAp17OEyM3b25sdO3YAsGPHDhISEsz+Gk2aNGH+/PkAzJ07l2bNmgHQtGnTPNtztGvXjpkzZ3Lp0iUAkpOTOXXqlNnjEsVLElYu7s4ON29UCofHXsX5tR9Z8ssW4urVo1vbtmRK4hICgG7dunHu3DnCwsKYOnUqtWrVMvtrTJ48mVmzZhESEsKcOXOYNGkSAJMmTeLzzz8nIiKCCxcumPZv27YtTz/9NI0bNyY4OJju3buTlpZm9rhE8VJa65KOwWzq16+vC1PAMWdqptyzXTjYWvPGI/6s2neSvw6dQc1+mcSTR2hXuzY/bNpEeWdnc4QuRIHt37+fgICAkg5DiLuW38+uUmq71rp+QY6XHlYunet60C3cA2vjOXFrpegW7kHvxt58078Brz5cC/pNpFq9R/j9wAHqu7vz69dfl3DUQgjxYJCElcuSncn8tD2Z68Ze53Wt+Wl7Mkt2JmNtpXg5qibfD2yCW7dhuD09lhOZ13l0wABGtW0LuS46CyGEMD+LSVhKKWul1E6l1DLjuo9SarNSKl4ptUApVaaoYyjI5LeN/VxYMbQF7dpGUX7ANCpW8uCJP/+G1q3Rhw4VdYhCCPHAspiEBQwF9uda/wiYoLWuCZwHni3qAAo6+W0lpzJM71Of9/8TSeVB03nu1bmsOnUNj5o1ea9DB7h+Pd92hBBC3DuLSFhKKU/gUWCGcV0BrYEfjbt8A3Qu6jjyHSV4i+1KKZ5p6sPSIU1xqexMvwZPcsrKmndXrmSsry/X9+4t6nCFEOKBYhEJC5gIDAdyLgS5AKla65y7BpOAfMv+KqWeU0ptU0ptO336dKGCiG5XGwdb6zzbHGytiW5X+5bHBLiVZ+mQpjzftQ1uQ+ZQuU5T3jh2jLohIfzw5JNw7VqhYhJCCGFQ4glLKdUROKW13p57cz675jv+Xmv9lda6vta6vqura6Fi6VzXg7Fdg/FwdkABHs4OjO0aTOe6+eZKE3tba8Z0CuS7wW2o1vMdXB95hb1A/x9+ILtuXdi8uVBxCXE/mj17NkOGDLnjPikpKab1AQMGEBsbW9ShCQtlCVMzNQU6KaUeAeyB8hh6XM5KKRtjL8sTSLlNG2bTua7HHRPUrbSs5cpvr7bkrSUu/PSQHz7Z50ncsoTyjRoR1707zWbOhHLlzByxEPev2bNnExQUhLu7OwAzZswo4YhESSrxHpbWepTW2lNr7Q08BazRWvcC1gLdjbv1BZaWUIh3xdmxDJ89XY9pL3fhsk9DOnR9n/AqHjT/8Ufme3nB0lLxNoS4rc6dOxMeHk5gYCBfffUVYCiM+OabbxIaGkqjRo04efIkAL/88gsNGzakbt26tGnTxrQ9R1paGj4+PqbZYy5evIi3tzcLFy5k27Zt9OrVi7CwMDIyMoiMjCRncoCVK1dSr149QkNDiYqKKsZ3L0qKJfSwbmUEMF8p9T6wEyhVd+g+HuZBY18XRi3awy+Rz2O/YgI9z5/n/zp35o327ak6fTp4epZ0mKKUe/eXfcSmXDRrm3Xcy/POY4G33WfmzJlUqlSJjIwMIiIi6NatG5cvX6ZRo0Z88MEHDB8+nOnTp/PWW2/RrFkzNm3ahFKKGTNm8PHHH/Ppp5+a2ipXrhyRkZEsX76czp07M3/+fLp168YTTzzB559/zieffEL9+nknQjh9+jQDBw5kw4YN+Pj4cO7cObN+BsIylXgPKzet9TqtdUfj4yNa6wZa6xpa6ye01ldLOr67VaW8PTP61ufz6H74vjQL54hOTAE8Vq7kf76+8L//wS1moxbCkk2ePNnUkzp+/Djx8fGUKVOGjh0NtePCw8NNpUGSkpJo164dwcHBjB8/nn379t3U3oABA5g1axYAs2bN4plnnrnt62/atIkWLVqYKh5XqlTJjO9OWCpL7mHdF5RSPFG/Gs1ruvJmTXd+XhrEhVWTqN6gGbz2Gnr2bNS0adCkSUmHKkqhO/WEisK6dev4/fff+fvvv3F0dCQyMpIrV65ga2trKvVhbW1tKg3y0ksv8eqrr9KpUyfWrVuXb8HHpk2bkpiYyPr167l+/TpBQUG3jUFrnW9ZEXF/s6ge1v2sagVDb2v62y8SMPxH3mg6lImTFlN7/35eaNoU+veHQg7LF6I4XLhwgYoVK+Lo6EhcXBybNm264/4eHoaBTN98880t9+vTpw89e/bM07sqV65cvrOsN27cmPXr15tKmcgpwQeDJKxipJSic10P/ni9Fe2DqvJJ3HkOW9kwDRgyezZpNWvC1KkyU4awaO3btycrK4uQkBBGjx5No0aNbrv/mDFjeOKJJ2jevDmVK1e+5X69evXi/PnzpgrCAP369WPQoEGmQRc5XF1d+eqrr+jatSuhoaE8+eSThX9jwuJJeZEStDbuFCPnb2H/sumk7fgFV1tbml67xnchIThNnXrL04RLdiYzftUBUlIzcHd2ILpd7Xseii9Kn/u1vMiPP/7I0qVLmTNnTkmHIopIYcuLyDWsEtTKvwprRrXnf/V9mfpDc04v+oCfs7K4fOoUTk2bQu/e8NFH4OZmOmbJzmSif9xN5nXDF43k1Ayif9wNIElLlFovvfQSK1as4Ndffy3pUIQFk1OCJczJzobRHeuw6sOBtPnvj7j2Gs9r7/7E/tdH0/m770jy8zMkrauGQZLv/rLPlKxyZF7XvPvLzSOvhCgtpkyZwqFDh4qkWrG4f0jCshDBnhVY9kprxj3fhV3JaTTbfJilWtPaypo9I0dCYCAsXcr5y/nPTXg+PbOYIxZCiOIlCcuCWFsp+jX14Y/XWvL0oNdwbtWfBG1FmJUV3U6dYl3nzny34C38TyWUdKhCCFHsJGFZoCrl7ZnydD2WT/+IJiPn4BAYxaK0NDo7OBJ48jDLZw/lw5WfUfnyedMxzg62JRixEEIUPRl0YcGa+FXm9zc68k1kEO99OZ9rV6/Qt0FzGsydALtX8EfsOr5s3IOv6z9Ox0bVSzpcIYQoUtLDsnC21lYMaO7L1qmv0qtHN2LOXuP988mMBrral2XQhm9ZO/157L6fC9nZd2xPCCFKK0lYpUSVcvZ88kQoAJUfex0HvwasSTuLq305Xs3KpN/Cj6BePfjttxKOVDwIJk+eTEBAAL169brtfmXLlgUgMTHxjtMtmUPO693rPomJiSilmDJlimnbkCFDmD179m3bHDNmDB4eHoSFhZmW1NTUAsctCkYSVinj4eyATdlKVOn+NlX7fArOVVmQcYG6FarAhQvQti20awc7d5Z0qOI+9sUXX/Drr78yd+7ckg7F7KpUqcKkSZO4dpfVwocNG8auXbtMi7OzcxFF+OCShFXKRLerjYOtNQB2brWo2udTnFs9S5lO0bw38WdWDh7KlD//RNerB716wZEjJRyxKGqRkZGmHkBmZiaRkZF89913AKSnpxMZGcmCBQsAw7x+kZGRLFq0CIAzZ84QGRnJL7/8AsA///xzx9cbNGgQR44coVOnTkyYMIExY8bwySefmJ4PCgoyzdR+J+vWraNly5b06NGDWrVqMXLkSObOnUuDBg0IDg7m8OHDABw9epSoqChCQkKIiori2LFjACQkJNC4cWMiIiIYPXp0nrbHjx9PREQEISEhvPPOOwWKBwzTPkVFReU77+H06dOJiIggNDSUbt26kZ6eftu2/ve//9G/f38A9uzZQ1BQEOnp6YwZM4bevXvTunVratasyfTp0wsc34NMElYp07muB2O7BuPh7IACPCs6MfH9t+jzeFtmbTrG4/N/5OWMDAbVCyd10SLw94chQ6AAf4iEKIhp06bh7u7O2rVrGTZsWKHb2717N5MmTWLPnj3MmTOHgwcPsmXLFgYMGGA6NTdkyBD69OlDTEwMvXr14uWXXwZg6NChvPDCC2zdupWqVaua2ly9ejXx8fFs2bKFXbt2sX37djZs2FDgmEaOHMmnn37K9Rvm9ezatStbt25l9+7dBAQE8PXX/5bpmzBhgul0YKtWrQB45ZVXOHToEIsXL+aZZ57hyy+/xNHREYCYmBiWL1/O33//zX//+19SUoqlqHqpJqMES6HOdT3ynYapX1Nv3qj4GSu++pCvdmxlXnln2rhU5IOpUwmYNQuGDoXoaKhYsQSiFkVl3bp1pse2trZ51h0dHfOsV6hQIc965cqV86zn/qNfXCIiInAzTj/m5+dH27ZtAQgODmbt2rUA/P3336ZeYe/evRk+fDgAGzdu5KeffjJtHzFiBGBIWKtXr6Zu3boAXLp0ifj4eFq0aFGgmHx8fGjQoAHff/99nu179+7lrbfeIjU1lUuXLtGuXTvTc8OGDeP111/Ps7+VlRWzZ88mJCSE559/nqZNm5qee/zxx3FwcMDBwYFWrVqxZcsWOnfuXKD4HlRm7WEppSoqpUKUUvVyFnO2L27Pv2p5Fg3vzB8rf6X58BlcK+fG4oQEegbXQz/+OIwdCz4+8P77kE/JBiHuhY2NDdm5RqheuXLlro63s7MzPbaysjKtW1lZmWpq3Sh3Laz86mJprRk1apTpetKhQ4d49tln7yquN954g48++ijPe+vXrx+fffYZe/bs4Z133inQe42Pj6ds2bI39aBujFvqe92Z2RKWUuo9IAaYDHxqXD657UGiSDSpUZl1Y/vzw7Lf8H/qDc40fpHuzYcwcugI+pcvT8bo0eDrC598Anc4By/EnXh7e7Njxw4AduzYYapRZU5NmjRh/vz5AMydO5dmzZoBhsKPubfnaNeuHTNnzuTSpUsAJCcnc+rUqbt6TX9/f+rUqcOyZctM29LS0nBzcyMzM7NAA04uXLjA0KFD2bBhA2fPnuXHH380Pbd06VKuXLnC2bNnWbduHREREXcV34PInD2sHoCf1jpSa93KuLQ2Y/viLlhZKTqFeRDz3Xt83C+KpPPpfPrtHGYdP07L0Hps9/MznB709YVJk+AuvxULkaNbt26cO3eOsLAwpk6dWiQT2E6ePJlZs2YREhLCnDlzmDRpEgCTJk3i888/JyIiggsXLpj2b9u2LU8//TSNGzcmODiY7t2751sI8k7efPNNkpKSTOvvvfceDRs25OGHH8bf3z/PvrmvYYWFhZGYmMiwYcN48cUXqVWrFl9//TUjR440Jc4GDRrw6KOP0qhRI0aPHo27u/u9fDQPFLPVw1JK/QS8oLW+u68xZlTa6mEVpyuZ15m57iDvj/uIk38vJjvjIg+5uDK6YgUGHzoE7u4wciQMHAj29iUdrriN+7Ue1oNkzJgxlC1b9qZrXve7wtbDMmcPayywUym1Sin1c85yp4OUUvZKqS1Kqd1KqX1KqXeN232UUpuVUvFKqQVKqTJmjPWBY29rzYsPB3Dw1xmMW7AOl8bdOHnuDJMeqkXc0t/J9vNDv/wy+PnB5MmQq7qrEEJYAnP2sPYBXwJ7ANNVSq31+jscpwAnrfUlpZQt8BcwFHgVWKS1nq+Umgbs1lpPvV1b0sMquAsZmUz8ZRsLdp0iPdsGh03T+WfHWlb5+dJg1y6oWtVwyvD558HJqaTDFblID6vw9uzZQ+/evfNss7OzY/PmzSUU0YOhsD0scyas9VrrloVswxFDwnoBWA5U1VpnKaUaA2O01u1ud7wkrLuXmn6Nr/9K4L3XX+TC3rUoKyu6tm7H6+dO0nD7dpSrK7z6Krz4IpQvX9LhCiRhidLLkk4JbldKjVVKNb7bYe1KKWul1C7gFPAbcBhI1VrnjGlNAvKt/66Uek4ptU0pte306dPmeB8PFGfHMrzWtjZHN63k7bnrqVjvUX5as5rG27cTUqsOhIfDqFHg5QVvvw1nz5Z0yEKIB5Q5E1ZdoBHwIXc5rF1rfV1rHQZ4Ag2A/L4+5tsV1Fp/pbWur7Wu7+rqek+BC6jgaMu7PZtzZP2PjPl2NWV9wkhyb0jPLu+w8OuFTPXyQr/3HlSvDsOGQa6RU0IIURzMlrByDWVvda/D2rXWqcA6DInPWSmVMxOHJyDzlhSDCg62vPN0K/7Zv5Xx/32Lw6cv0ee9D3lx927CwxqwvVUrmDLFMBz+2WchLq6kQxZCPCDMeePw2/ktBTjOVSnlbHzsALQB9gNrge7G3foCS80Vq7gzJzsbBjT3ZcPwVoyfMg3XkEh2xe6l/vLleLhXZ2RoKMybBwEB0Lkz/P13SYcshLjPmfOU4OVcy3WgA+BdgOPcgLVKqRhgK/Cb1noZMAJ4VSl1CHABvr5NG6KI2NtaM6RjA07sXMPc37dRq+NAUpKP8b+DiXz+w99cGP0uWevXQ5Mm0KwZLF0qhSQfAFIPK6/c9bCCgoL4+ee8d/SEhobSs2fPO8Ymbs+cpwQ/zbV8AERyi4ESNxwXo7Wuq7UO0VoHaa3/a9x+RGvdQGtdQ2v9hNb6qrliFXfP2krRs3kAcT9/ye+7jtB++BeM/yuJkEQ77C6m0b95JFeOHzf0tgIC4Msv5V6u+5jUw7pZTj2shQsX0r9/f9MchPv37yc7O5sNGzZw+fLlogj5gVGU5UUcAd8ibF+UAKUUUcHV+fnNJ/j15eYEu1ihbe2Y9ec6KqVeotfDHdlmZQWDBhkGaLz9tpQ2KWKRkZE3LV988QXwbz2sG5ecHkNOPazcy51IPazb18MKCAjAxsaGM2fOAPD999/Tu3dv2rZte1PPS9wdc17D2qOUijEu+4ADwCRztS8sTx338iybEE3yP2cY8OFMbKr48f1vy4iIi+PbrxZzrWlzw8zwXl7Qrx/s2lXSIQszkHpY+dfDyrF582asrKzIGbW8YMECnnzySXr27Mm8efPu+vMR/zJnPayOuR5nASdz3Ucl7mNuzg5MH/UMk17rzXtf/cCcHxbx9mFbJtd/gVN74+jtWon3Fy5EffMNtGxpqMvVqRNYW5do3Et2JjN+1QFSUjNwd3Ygul3tfOuMWbrc9axudGM9rBvdWA+rJNwv9bAmTJjAd999R7ly5ViwYAFKKbZu3YqrqyteXl54enrSv39/zp8/T0WpSXdPzHkN6yiGG3wzAWvAXSlV3VztC8vnWMaGsUOe5ti6hcx+JoLq1hc5fuQAH27aSGXnKrzx+JOkHDoEXbsa5iz85BM4d65EYl2yM5lRi/aQnJqBBpJTMxi1aA9LdiaXSDylmdTDMsi5hvXnn3/SvHlzAObNm0dcXBze3t74+flx8eJFU4IVd8+cpwRfAk5imKliuXFZdtuDxH3JykoRWbsKi0Z1Y0/CCR4bPIZ0bcPYpQvwSE7m+f+8SIZfTcNchZ6ehhnid+8u1hjHrzpARmbe0z0ZmdcZv+pAscZxP5B6WPnLzs5m4cKFxMTEkJiYSGJiIkuXLpXTgoVgzkEXQ4HaWutArXWwcQkxY/uiFAryqsLPn73DqSOxvPDuJBxdq7G8YjMaNn+dNl2eZbB/MJlz5kBYGDRvbri36y5HZ92LlNT8RzDearu4NamHlb8NGzbg4eGBh8e/p5lbtGhBbGwsJ06cuOtYhHknv10LPFyS161k8lvLp7VmS8I55mw6ytQBkWRnpOFYqSpd6zXk3fgYfI8mQJUqMGAAPPecYcBGEWg6bg3J+SQnD2cHNo607LqjMvmtKK0safLbI8A6pdQopdSrOYsZ2xf3AaUUDX1d+OzpehxJOEqPl9/BtqIb3/2+FL+jCdQKqMeRFu1g3Djw8YGOHWHZMrhhtFZhRberjYNt3kEfDrbWRLerbdbXEUKYjzkT1jEM16/KAOVyLULky+uhiiyYNIZzB7cz9cdVuFSvxelKtWjt9yTtR84kokYge7bugMceMySvd98126S7net6MLZrMB7ODigMPauxXYNL5ShBcff27NmTp5x9WFgYDRs2LOmwxB2Y7ZSgJZBTgqXfqbQr/Lg9ifdGvco/m34BZUXtoAa84GDHi1vWY2tlBY88Yjhl+OijYGPOOzNKBzklKEorSzolKEShVSlnz4uRNUjeuJSPvvyOeo/04tDhWF7Zsh47KxsmvTyO0/sOGqaAql4d3ngDDh0q6bCFEMVAEpawSFZWiuHP9WL7sm85kZJCh54DqOhThwl2dWj01ATcfIPpWqEqp8d/CjVrQmQkfPstyFxtQty3JGEJi+dawYlfv5/O2UO7+f3VFvynniv/JMayOG4nDylFcHAT3j1+hqy+fcHNzXC6cONGuI9OdwshzDA1k1JqCreoBgygtX65sK8hRI4aVcrxbvcIRly6xOffL+Xb7xcQ+9dKxlzL4IvQ1gxv1oFOi7+k5tdfG3peffpA795FNjxeCFF8zNHD2gZsv80ihNk5OtgT/eyT7PljEftjY2n5SFciujzL5+UCCPcIxtbOkcfKVGbHuE/B2xtat4ZZs+DixZIOvdgt2ZlM03Fr8Bm5nKbj1phl+qmC1J0qqOjoaPz9/QkJCaFLly6kpqYCkJmZSd++fQkODiYgIICxY8fetp2VK1dSu3ZtatSowbhx4/LdZ/bs2bi6uppGBs6YMcP03IgRIwgKCiIoKIgFCxaYtvfr1w8fHx/TMbtuM4lzeHi4qSzJ2LFjb5oNY/bs2VhZWRETE2Palnt2+3nz5hEcHExISAjt27c3zfgOMGXKFGrXrk1gYKBpLsX8pKen06tXL4KDgwkKCqJZs2amGT+sra3zjIxMTExky5YtpvXQ0FAWL16cb7sTJ07Md3b63FJTU02VAoqE1tqsC4ah7GXN3W5BlvDwcC0ebCcvZOg2TzyjrWztNKBB6QpVvPQjXnX0aftyWjs4aN2zp9bLl+slmxN0k7F/aO8Ry3STsX/oxTuSSjr8AomNjS3wvot3JGn/t1ZorxHLTIv/WysK/V6dnJwKdXxuq1at0pmZmVprrYcPH66HDx+utdZ67ty5+sknn9Raa3358mXt5eWlExIS8m0jKytL+/r66sOHD+urV6/qkJAQvW/fvpv2mzVrlh48ePBN25ctW6bbtGmjMzMz9aVLl3R4eLi+cOGC1lrrvn376oULF97xfSQkJOjHHnvMtB4ZGalPnTp10+tXq1ZN9+jRw7QtMDBQJyQk6MzMTO3q6qpPnz6ttdY6Ojpav/POO1prrdesWaOjoqL0lStXtNZanzx58pZxfPjhh3rYsGGm9bi4ONNx+f2/Xb582fT5p6SkaFdXV9N6bl5eXqbY7NWD9wAAIABJREFUbvcZBAYG3vL5/H52gW26gH/jzTmXYJBSaiewF4hVSm1XSgWaq30hCqJKeXt++2EmWVcz+H3TTtr1GULauROsSD5Ew1fm0efFz4nefpjjnbvTrFUYAxdOICw5juTz6ffl5LdFOWfipUuXiIqKol69egQHB7N06VLAULU3ICCAgQMHEhgYSNu2bcm4TTHPtm3bYmO8PaFRo0amqZCUUly+fJmsrCwyMjIoU6YM5cuXz7eNLVu2UKNGDXx9fSlTpgxPPfWUKZ6CiI2NpWXLltjY2ODk5ERoaCgrV64s8PEAK1asoH379gBcvHiRa9eumUqM5NaxY0f27dvHgQN5/w9y/ihfvnwZrTUXL17E3d0dgKlTpzJy5EjTxMBVqlS5ZRwnTpzIMx1U7dq180wwfCNHR0fT53/lypV8JxOePHkyKSkptGrVilatWnH06FFq1qzJmTNnyM7Opnnz5qxevZqRI0dy+PBhwsLCiI6OvuVr3itzDrr4CnhVa+2lta4OvAZMN2P7QhSYUoqohmGs/GYy58+eZs5Py3mupR8HyrrwycEtVM+6SmBlL3aeOcbnP7zNhi8HMPiPWfz4zd39kbJ0RTlnor29PYsXL2bHjh2sXbuW1157LecsC/Hx8QwePJh9+/bh7Oxc4BnKZ86cSYcOHQDo3r07Tk5OuLm5Ub16dV5//XUqVaqU73HJyclUq1bNtO7p6Ulycv5fPn766SdCQkLo3r07x48fBwwl7FesWEF6ejpnzpxh7dq1pufAMKdgSEgIw4YN4+rV/Iufr1y50pSwfv/9d6KiovLdz8rKiuHDh/Phhx/m2W5ra8vUqVMJDg7G3d2d2NhY0wzzBw8e5M8//6Rhw4a0bNmSrVu35ts2QP/+/fnoo49o3Lgxb731FvHx8abnMjIyTKf/unTpYtq+efNmAgMDCQ4OZtq0aaYEluPll1821UBbu3YtXl5ejBgxgkGDBvHpp59Sp04d2rZty7hx4/Dz82PXrl2MHz/+ljHeK3MmLCet9dqcFa31OsDJjO0LcU/Kly9Pr05tGNHenzXRUfQeOBiHmg05c/Y4k4/F4HEtg6jqwVS+nMqUL4dBcDB88AEYq92WZu7ODne1/W5orXnjjTcICQmhTZs2JCcnc/LkSQDTNR8wXNcpSAXiDz74ABsbG3r16gUYek3W1takpKSQkJDAp59+ypEjR24Zy43y6yk89thjJCYmEhMTQ5s2bejbty9g6OU98sgjNGnShJ49e9K4cWPTH+2xY8cSFxfH1q1bOXfuHB999NFN7V67do2kpCR8fQ1F1leuXGlKvPl5+umn2bRpU56Z7TMzM5k6dSo7d+4kJSWFkJAQ03W7rKwszp8/z6ZNmxg/fjw9evTI9z0DhIWFceTIEaKjozl37hwRERHs378fAAcHB1PJldzXqho2bMi+ffvYunUrY8eOLVCJmAEDBpCWlsa0adPyVJwuSmadS1ApNVop5W1c3gLMX2dAiEJwcnLi268+o+4z7+Px4mwqtX8JK6cKpPpFMLLDy9Rs0Rvn5DP0nzaf+ND6EBEB48fD0aMlHfo9Kco5E+fOncvp06fZvn07u3bt4qGHHjL9oct9Csra2vqWda1yfPPNNyxbtoy5c+eaEs33339P+/btsbW1pUqVKjRt2pRbzWTj6emZp0eUlJRkOp2Wm4uLiym2gQMHsn37v+PC3nzzTXbt2sVvv/2G1pqaNWsC4ObmhlIKOzs7nnnmGbZs2XJTu3/++aep5AkYkm2DBg1u+X5tbGx47bXX8iS/nMEcfn5+KKXo0aMH//d//2d6f127dkUpRYMGDbCyssozIONGZcuWpWvXrnzxxRf85z//4ddff73lvrkFBATg5OTE3r1777hvenq66fRtzqCOombOhNUfcAUWAYuNj5+500FKqWpKqbVKqf1KqX1KqaHG7ZWUUr8ppeKN/0qJTmE20e1q42hXhnKh7ag25DucajfFzsaKimkJXDj/D7OS9lIr4xIuSefpOHEW+0MbQcOGhqKTBegtWIqinDPxwoULVKlSBVtbW9auXcvRe0zqK1eu5KOPPuLnn3/G0dHRtL169eqsWbPGdF1n06ZNtyzpERERQXx8PAkJCVy7do358+fTqVOnm/bLXdbj559/Nk0TdP36dc6ePQtATEwMMTExpsrHOcdorVmyZAlBQUH5voecHtW+ffvw9/fH+g4Vtfv168fvv//O6dOnAfDw8CA2Nta0/ttvv5ni69y5M2vWrAEMpwevXbtG5cqV821348aNnD9/HjD0/GJjY/G6zW0dCQkJpi8UR48e5cCBA3h7e9+0X7ly5fKUaBkxYgS9evXiv//9LwMHDsx3H7Mr6OiMoloAN6Ce/neE4UGgDvAxMNK4fSTw0Z3aklGC4m4s3pGU7yjBU6dO6QXLftOtuj+jrW3tNErpatFLddTgmbpnQAu9yNVHX68fofW4cVrHxxd73HczSrAoZGZm6kqVKunTp0/rRo0a6fDwcP3ss89qf39/nZCQcNNIsfHjx5tGu+XHz89Pe3p66tDQUB0aGqqff/55rbXWaWlpunv37rpOnTo6ICBAf/zxx7eNa/ny5bpmzZra19dXv//++6bto0eP1kuXLtVaaz1y5Ehdp04dHRISoiMjI/X+/fu11lpnZGTogIAAHRAQoBs2bKh37txpOr5Vq1Y6KChIBwYG6l69eum0tLSbXrt+/fo6PT3d9H5nzZqVb4w3jlKcNGmSBkyjH6dOnar9/f11cHCw7tixoz5z5ozWWuurV6/qXr166cDAQF23bl39xx9/3PJz+Oabb3RwcLAOCgrSderU0dHR0To7O1trnf8owW+//VbXqVNHh4aG6rp16+rFixebnuvQoYNOTk7WWms9efJkXbt2bR0ZGanXrVunGzZsqLOysrTWWnfp0kXPnDlTa611z549dWBgoH799ddveq3CjhI0Zz2s+sAbgDe5bkjWd1nEUSm1FPjMuERqrU8opdyAdVrr257HkMlvhbmlpKSwcs2fWPk0YHXsP8wb1Byyr2PvUo0w54d48ko6A6o4ULbL49C1K9SpA/lcOzGnkp78dvfu3QwcODDfU2MPoqSkJAYOHMiKFSsAePjhh/n2229xc3Mr4cgsT2EnvzXnVNdzgWhgD5B9Lw0opbyBusBm4CGt9QkAY9K69ThOIYqIu7s7/f/zJAB9GnsReOZD1m/dTWzcATbF7WCTzuYN6xCejLlOq59ep/H109R8JAq6dIEGDcDq/pr9bNq0aUyePJmJEyeWdCgWw9PT05SswHAqTxQNc/aw/tJaN7vznrc8viywHvhAa71IKZWqtXbO9fx5rfVN17GUUs8BzwFUr149/F7Powtxt/bs20+f/gPwCI8irVoL9m/bwOlF71Ohig8tylfmGRtNx5bh2D7eyTDTxm3uhbkbJd3DuleDBw9m48aNebYNHTqUZ56546Vuk7Nnz+Y7XPyPP/7AxcWl0DGWJqtWrWLEiBF5tvn4+NxypgpLUNgeljkTVhTQE/gDMN2ooLVeVIBjbYFlwCqt9f+M2w4gpwRFKaG1ZsqMb3nj9VfA1oHLZw0X6q3tnHisYTeeyjhPpK8zDz36sKGeVyH+uO7fvx9/f/98h20LYam01sTFxVlMPaxngDCgPfCYcel4p4OU4bfua2B/TrIy+hnoa3zcFyj4betCFIA559hTSvHywL5cunCeS2dS2LFnH02iHkFnXeVoRAdGtH4ev30nKDd0JJ0aP8bCqC5c+fgT2L//rmeVt7e35+zZs7e8D0cIS6O15uzZs9jb2xeqHXP2sPZorYPv4bhmwJ/kvfb1BobrWD8A1YFjwBNa63O3a0t6WKKgluxMZtSiPXmmLXKwtTbbkO8cmZmZ2NjYEPdPGu1aNiHpcBw62/Ca1k7OVKvoyVuBDWheuwo1O7RERUbCHX6pMzMzSUpKKtDNnUJYCnt7ezw9PbG1tc2zvaROCU4HJmitY83S4D2QhCUKqum4NSTnMz2Rh7MDG0e2LpLXzPmWefzESaZ/v5gZEz5A2TriNvhbAM59F41fGQeerO1Pnw7NcX+8g5RFEfe9kkpY+wE/DLNbXAUUoO92WHthSMISBeUzcnm+RdwUkDDu0WKJISMjw3CzqlMlVvy9n+ce/fd3Vtk5UbacC239wniueWMatg6nQusWZhu4IYSlKKlh7e3N2JYQRcrd2SHfHpY55tgrKAcHBzw9PQEY+Eg4HY4f5+zZc/y2cRtzv/mWXVvW81sVX7ZZB5O5MI6rz7xAM78AnmrRlMd6PY5ToH+R3/MlhCUxWw/LEkgPSxRUcV3DulfZ2dnExMTgWtWNpHNZvB0dzepf55metylXmUrlKvOf1o/TqWUE9R9tjpOb3KooSp8SOSVoCSRhibuxZGcy41cdICU1A3dnB6Lb1baIZJWfa9eusWnTJmztHZn/3ULmzf+O06dT8Ow7Ceuqflz463tsj+6kRXAEXTtE8eh/ulChYrmSDluIO5KEJcR9LiMjgx07dlC3bjjbf9vCU4N6k/LPMdPzVg7lcXbxYHDfaBrU9aNB63CqVJRqP8LySMIS4gGTnp7OoUOHuHoxje+nz2H6wu+4dj0bv8FzyChjT8rsodgrRd3gBkS1akHXp7tSp1plrKzkGpgoWZKwhHjAXb16lVOnTlHVxpZ9K/6k0aDeZAOZmcZJaJQV5f3q0/Xp1wiv5UbtOh40qVMdJ7u7H4dVmk6tCstTUjNdCCEshJ2dHdWqVcPWrSph/Z/gcsZlTp8+SfLWrfzv2Rewt7GhasZFkpPOMG7TMdrW86OCqxueoa155D+vMmHeag6dvHjH2TRyBq8kp2aggeTUDEYt2lOoWUOEuBXpYQnxgMrKysLmxAn+nD2Hrh+NxdHWiZMZaVy9mg5AufBO+LXpT80ylyjHWR7r0IZWoTWp4PjvTAUlcQO2uL/IKUEhxD3RKSn8PHEib87+ls7eYWS61GJ+UizH9v4BgHWFh3Cu6o1vTX96PTeYCRtP5dtOcd6ALUo3SVhCCPM4d47NM2fy0YyvqYIdW86cY9/F01zLvELVvhOxq1qDC/+3gKtHd2Nfqwl2Hv6UcfXC2cmB3WPalXT0ohSQhCWEKBpXrnBoyRJWzptHVysHNh06zStHd3M87ey/+yhrrMtWpMOY+YT4VKG6wzUa+lenjqcLZWzksrnISxKWEKJY+IxYRrVTCfgc2kzYmWOknktiVupJzunrPNbtbfa612L/V4O4fvk8dg/58pBPAH41axHZKpKOrZsSULU8DmWsS/ptiBIkCUsIUSzyG3RR7uplWp8/zCS/LLI3baLd2vUc14os+3IcT0/l2rUMrBydqfbSd1gpuPzreKp5+9I8sjVRTSNoVMebymVlkt8HhSQsIUSxKNCcjFrDoUOweTN60yY+XLIEzqcR4R7ATlcvRv79Q542la09lcPa0GHQaPyrlqNC5hlaRQRT86Hy2FjLKcX7jSQsIUSxuacbh69ehZgYsjdtIvb337m6Zw9Hk0+yzN6JOWlnqeUVSPXHX2fvhXMkzR4G1jbYVfGlsqcvbm4P8WjXJ2nVuD7+VctRpZwdSmatL7UkYQkhSp+0NNi1C7Zt4/rmzVjv2MHO+MP0t7HBydGZE2XKcPziWTKvZVCuQRcqtXqW9PjNXFg7A486EQTVrU/9eqG0bBBGmI9bnvvFhOWShCWEuD9cuAA7d8K2bbBjB6c3b+anI0doaOfElSq+fGyVzZKj+7CytiH7epbpsMpd3sAnvBXlzx9AnTlMy8hWtGpUl6DqD0kiszCSsIQQ96+0NNi925DIdu7k8rZtlImNJeH6db4o48hPOpvBD/fiVK36zFk6lTMJMcYDFVaOFbC1d+SRN2cQ7FcNF6t0Aqq5EubnTuWyZeTUYgmQhCWEeLBcuwaxsYZTirt3m/6NO3+e5UBZxwpscnmIlRfPcSrtPI+OXsiR63YcnPYCmWeOYV22EvaVq1G+QgXcPKoxcPi7+LmWxc/ViWqVHLGVwR5FRhKWEEJoDUlJhgS2ezfExEBMDFkHDmCjNRp4zaEs6+0dcKjiSeLlNFJSEkApqr++BIDkr55DX72MS61wPLz8cHOtSEREBI883BpfVydcnKRXVlilKmEppWYCHYFTWusg47ZKwALAG0gEemitz9+pLUlYQhS/UldeJCMD9u+HPXv+XfbuhZQUUoBjQICrG0fqNaXHzr85c/UK161tSTt/ErTGyr4c1YbOA+CfWS9RtoIz/vWbU7NmLfx9q9GycX0CPF3lWlkBlbaE1QK4BHybK2F9DJzTWo9TSo0EKmqtR9ypLUlYQhSvAt2HVVqcPWtIXPv2/bvs3WvYDlwBZjo4kFbNl4atO5HgXoPn3x9MttZcz6kzBthU8sRj4DScHWw4NvtVqtUMIrxJC0Lr1KZ+cG0Cqj9ERUfbUtkzK4ovJ6UqYQEopbyBZbkS1gEgUmt9QinlBqzTWte+UzuSsIQoXvd9eRGt4dSpfxPY/v2Ga2WxsXD6tGEX4KK9Pbu9vPn02nUe8qtD/U59iMm4zucjetzUpEONBvj1+i9Vy1zlwPyxBDVoTqPGTagXVJuQGtXxqOiItQVWgi6qLyf3Q8JK1Vo753r+vNa64i2OfQ54DqB69erhR48eLfqAhRAA+IxcTn5/QR6I8iJnz/6bwOLiDI/j4uDoUUOiA7KA0x4eJFT3Zq1jeeYfOURok4fx69Cb9f+3nvVfjLyp2QqNuhPa9UWcLiVx5Lc5NGz5MA0bRFAvsCa1PVxxLqHeWVF9ObmbhHX39bAtjNb6K+ArMPSwSjgcIR4o7s4O+f4Rc3d2KIFoipmLCzRrZlhyS0+H+HiIi8MmLg63AwdwO3CAJjG7ePPyZUiIh7lfgIMDKf7+JLu5s7dSFTZczuCPfTG0aFIfZ48K/Pbddxz8+zcO/P0b35oaV7h1HEpIVBf0sR0kbV5B83aPUb9uGEG1vKnt6YqzY9EMBEnJ5//5dtuLgqUmrJNKKbdcpwTzrxInhChR0e1q53uaKLrdHc/g378cHSE01LDkpjWkpMDBg3DgABw8iHt8PO4HDxLx5waeyTLe+Py/kVDuA7J9fYlt25bjlR9ir50Tf6aksHXfHh5tEYGu6Miv3y3nxPbfif2/1XyZ62W8+31CrZAI0nb+ysm9fxH1+FMEBtTGz/0h/L2r4uvuitU9nHJ0drTlfHpmvtuLi6UmrJ+BvsA4479LSzYcIUR+cq5dlKpRgiVFKfDwMCytWuV9LivLcCoxPt60WB06RFB8PEF//EGH69eJztn3nQHg60uWjw/7e/fmuLMLu7U1Gw4fYU/cPp6Iasj5bHsWbfqNc/E7OLJzY56X8n5lHp5uVTi56ksuHt1HZJfe1PD1pqK9DT6eVYhq1ojy9jY39dJudfWoOK8qlfg1LKXUPCASqAycBN4BlgA/ANUxjDJ9Qmt97k5tyaALIcR9JzMTjh2Dw4cNs97n/jchwXAKMkdOUvT1JdvbmxQXFw46lmfPdVgff4i4xCP0ee9rTly4wpwRT3P+WNxNL1d9+C+UtbPhxPy3yLpwkrptu1HNsxrLN+3DyqE85UIezrN/Ya9XlrpBF+YiCUsI8UDRGk6ehCNH/k1gR44YloQESE7O2wWytQUvL/D2Bm9v0t3dOepUlj3YsPZwAscvXKTTi6NJSb3C50O7c/b4IXSuORqxKYPXa4vyhFCcgy4kYQkhxP3q6lXDqcbEREMCS0gwPM5ZTp7Mu7+NDXh6GpKalxdUr07aQw+RYGfPN7EpLDh4Dpvgf3tYD+SwdnORhCWEEHchPd1wujEnqR09+u/60aOGHlp2dp5DLjiU4/UOrxAbEVnsNw5b6qALIYQQRc3REfz9DUt+srIMSevoUTh+nH2b9nJw6z6SKlQp3jiNJGEJIYTIn42N6fTgkp3JjIpzISPSeN9ZagajFu0BKLZRoTJnvhBCiDsav+pAnvvtADIyrzN+1YFii0ESlhBCiDuyhJkuJGEJIYS4o1tNt1Wc03BJwhJCCHFH0e1q42BrnWdbcU/DJYMuhBBC3JElTMMlCUsIIUSBdK7rUaLzRMopQSGEEKWCJCwhhBClgiQsIYQQpYIkLCGEEKXCfTX5rVLqNHDUTM1VBs6Yqa2iIjGah8RoHhKjeTxoMXpprV0LsuN9lbDMSSm1raAzCJcUidE8JEbzkBjNQ2K8NTklKIQQolSQhCWEEKJUkIR1a1+VdAAFIDGah8RoHhKjeUiMtyDXsIQQQpQK0sMSQghRKkjCEkIIUSo8kAlLKdVeKXVAKXVIKTUyn+ftlFILjM9vVkp553pulHH7AaVUO0uLUSnlopRaq5S6pJT6rKjiK2SMDyultiul9hj/bW2BMTZQSu0yLruVUl0sLcZcz1c3/n+/bknxKaW8lVIZuT7HaUURX2FiND4XopT6Wym1z/gzaW9JMSqleuX6DHcppbKVUmEWFqOtUuob4+e3Xyk1qijiQ2v9QC2ANXAY8AXKALuBOjfs8yIwzfj4KWCB8XEd4/52gI+xHWsLi9EJaAYMAj6z0M+xLuBufBwEJFtgjI6AjfGxG3AqZ91SYsz1/E/AQuB1S4oP8Ab2FtXPoJlitAFigFDjuoul/U7fsE8wcMQCP8engfnGx45AIuBt7hgfxB5WA+CQ1vqI1voaMB94/IZ9Hge+MT7+EYhSSinj9vla66ta6wTgkLE9i4lRa31Za/0XcKUI4jJXjDu11inG7fsAe6WUnYXFmK61zjJutweKanRSYX4eUUp1Bo5g+BwtLr5iUpgY2wIxWuvdAFrrs1rr6xYWY249gXlFEF9hY9SAk1LKBnAArgEXzR3gg5iwPIDjudaTjNvy3cf4R+sChm9eBTm2pGMsLuaKsRuwU2t91dJiVEo1VErtA/YAg3IlMIuIUSnlBIwA3i2CuAodn/E5H6XUTqXUeqVUcwuMsRaglVKrlFI7lFLDLTDG3J6k6BJWYWL8EbgMnACOAZ9orc+ZO8AHsYBjft/8bvz2fKt9CnKsORQmxuJS6BiVUoHARxi+5RaFQsWotd4MBCqlAoBvlFIrtNbm7rkWJsZ3gQla60tF2KEpTHwngOpa67NKqXBgiVIqUGtt7m/ehYnRBsMp9AggHfhDKbVda/2HeUM0y+9LQyBda73XnIEV9PXvsE8D4DrgDlQE/lRK/a61PmLOAB/EHlYSUC3XuieQcqt9jF3cCsC5Ah5b0jEWl0LFqJTyBBYDfbTWhy0xxhxa6/0Yvj0GWViMDYGPlVKJwCvAG0qpIZYSn/HU+VkArfV2DNdHapk5vkLFaNy+Xmt9RmudDvwK1LOwGHM8RdH1rgob49PASq11ptb6FLARMP9cg0Vx8c6SFwzfqI5gGDSRc2Ex8IZ9BpP3wuIPxseB5B10cYSiuUB7zzHmer4fRTvoojCfo7Nx/24W/H/tw7+DLrww/OJWtqQYb9hnDEUz6KIwn6Frzu8Hhgv5yUAlC4uxIrAD4yAb4HfgUUuK0bhuhSFZ+Jo7NjN9jiOAWRh6YE5ALBBi9hiL6s1b8gI8AhzE8I3vTeO2/wKdjI/tMYy6OgRsyf1DArxpPO4A0MFCY0zE8K3nkvGHvI4lxQi8haHHsivXUsXCYuyNYSDDLuMftM6W+H+dq40xFEHCKuRn2M34Ge42foaPWeJnCPzHGOde4GMLjTES2FRUsZnh/7qscfs+DMkquijik6mZhBBClAoP4jUsIYQQpZAkLCGEEKWCJCwhhBClgiQsIYQQpYIkLCGEEKWCJCwhCkkp5ayUejHXurtS6scieq3OSqm3zdjeJ6oIZ8sXwpxkWLsQhWQssbBMa10UM2Hc+Fr/h+GemDNmas8LmK61LqrpsYQwG+lhCVF44wA/Y62i8cY6UHsBlFL9lFJLlFK/KKUSlFJDlFKvGieE3aSUqmTcz08ptVIZ6oP9qZTyv/FFlFK1gKs5yUop9YRSaq8y1OvaYNxmbYxhq1IqRin1fK7jhxvrFe1WSo0D0FofxTCRbtUi/5SEKKQHcfJbIcxtJBCktQ4DU48rtyAMNcDsMcwQMEJrXVcpNQHoA0wEvsIwI3y8cZLTL4AbT9U1xTBjRI63gXZa62SllLNx27PABa11hLFky0al1GrAH+gMNNRap+ckSqMdxrZ/uudPQIhiIAlLiKK3VmudBqQppS4Avxi37wFClFJlgSbAwlyzrudXH8wNOJ1rfSMwWyn1A7DIuK2tsc3uxvUKQE2gDTBLGyZ4Rect/XAKwyzbQlg0SVhCFL3ctb6yc61nY/gdtAJSc3pot5GBIQEBoLUeZOyNPQrsMpZNV8BLWutVuQ9USrXn1uVn7I1tC2HR5BqWEIWXBpS714O1oT5UglLqCQBlEJrPrvuBGjkrSik/rfVmrfXbwBkMZR9WAS8opWyN+9QyFnpcDfRXSjkat+c+JVgLw8SvQlg0SVhCFJI21HzaaBwAMf4em+kFPKuU2o1hxusbS5MDbADq5iqbPt44iGKv8bndwAwMs2XvMG7/EkOZlJXAz8A2pdQu4HUAY2KrAWy7x7iFKDYyrF2IUkQpNQn4RWv9u5na6wLU01qPNkd7QhQl6WEJUbp8iKHYoLnYAJ+asT0hioz0sIQQQpQK0sMSQghRKkjCEkIIUSpIwhJCCFEqSMISQghRKkjCEkIIUSpIwhJCCFEqSMISQghRKkjCEkIIUSpIwhJCCFEqSMISQghRKkjCEkIIUSpIwhJCCFEqSMISQghRKtiUdADmVLlyZe3t7V3SYQghhCig7du3n9FauxZk3/sqYXl7e7NtmxROFUKI0kIpdbSg+8opQSGEEKWCJCwhhBClgiQsIYQQpcJ9dQ0rP5mZmSQlJXHlypWSDkWIArO3t8fT0xNbW9uSDkUIi3HfJ6ykpCTKlSuHt7c3SqmSDkeIO9Jac/bsWZKSkvDx8SnpcIREYYi4AAAgAElEQVSwGPf9KcErV67g4uIiyUqUGkopXFxc5KyAEDe47xMWIMlKlDryMyvEzR6IhCWEEKL0k4RVDMqWLWu2tqKjo/H39yckJIQuXbqQmpoKGAaX9O3bl+DgYAICAhg7duxt21m5ciW1a9emRo0ajBs3Lt99Zs+ejaurK2FhYYSFhTFjxgzTcyNGjCAoKIigoCAWLFhg2t6vXz98fHxMx+zateuWMYSHh3Pt2jUAxo4dy9y5c296fSsrK2JiYkzbgoKCSExMBGDevHkEBwcTEhJC+/btOXPmjGm/KVOmULt2bQIDAxk+fPgtY0hPT6dXr14EBwcTFBREs2bNuHTpEgDW1tam9xEWFkZiYiJbtmwxrYeGhrJ48eJ82504cSLp6em3fF2A1NRUvvjii9vuYymW7Eym6bg1+IxcTtNxa1iyM7mkQxIPIq31fbOEh4frG8XGxt607XYW70jSTcb+ob1HLNNNxv6hF+9Iuqvj8+Pk5FToNnKsWrVKZ2Zmaq21Hj58uB4+fLjWWuu5c+fqJ598Umut9eXLl7WXl5dOSEjIt42srCzt6+urDx8+rK9evapDQkL0vn37btpv1qxZevDgwTdtX7ZsmW7Tpo3OzMzUly5d0uHh4frChQtaa6379u2rFy5ceMf3kZCQoB977DHTemRkpD516tRNr1+tWjXdo0cP07bAwECdkJCgMzMztaurqz59+rTWWuvo6Gj9zjvvaK21XrNmjY6KitJXrlzRWmt98uTJW8bx4Ycf6mHDhpnW4+LiTMfl9/92+fJl0+efkpKiXV1dTeu5eXl5mWK73WcQGBh4y+fv9me3qCzekaT931qhvUYsMy3+b60wy++GEMA2XcC/8dLDymXJzmRGLdpDcmoGGkhOzWDUoj1m+TZ56dIloqKiqFevHsHBwSxduhSAxMREAgICGDhwIIGBgbRt25aMjIxbttO2bVtsbAyDOxs1akRSUhJguOZx+fJlsrKyyMjIoEyZMpQvXz7fNrZs2UKNGjXw9fWlTJkyPPXUU6Z4CiI2NpaWLVtiY2ODk9P/t3fv8VFXd/7HXx+ScFVLRWhJkJtaUEKAGqGIVq3KRUWRUqviroLFxeJqrUbwUrXuo4KL7rrWRX6uq+gWtWtRilbAC1gtLnINyEVECdQkPJSLCAJy/fz+mG/GCUzCkMncMu/n4zEPZs73fL/5zMmEz3zP93zPaUGPHj2YNWtWzPsDzJw5k4EDBwKwfft29u7dS+vWh08ndskll7By5UrWrFlTrbzqA7xz507cne3bt5Ofnw/AE088wbhx42jSpAkAbdq0qTGOjRs3UlBQEH7dpUuX8H7RNG/ePNz+33zzTdRrTY899hiVlZWcd955nHfeeWzYsIFTTjmFzZs3c/DgQc4++2zeeOMNxo0bx6effkrPnj0pKSmp8Wem2sTZa9i970C1st37DjBx9poa9hBJDCWsCIn8w2zatCmvvPIKS5YsYe7cudx2222EvlzA2rVrGTNmDCtXrqRly5ZMmzYtpmM+/fTTDBo0CIBhw4bRokUL2rZtS/v27bn99ts5/vjjo+5XUVHBiSeeGH7drl07KiqiJ+Vp06ZRVFTEsGHD+OyzzwDo0aMHM2fOZNeuXWzevJm5c+eGtwHcfffdFBUVceutt7Jnz56ox501a1Y4Yb311lucf/75Ues1atSIO+64gwcffLBaeV5eHk888QTdu3cnPz+fVatWcf311wPw8ccf895779GnTx/OOeccFi5cGPXYACNHjuShhx6ib9++3HPPPaxduza8bffu3eHuv8svvzxc/sEHH9CtWze6d+/O5MmTwwmsys0330x+fj5z585l7ty5dOjQgbFjxzJ69GgeeeQRTjvtNPr378+ECRM46aSTKC0tZeLEiTXGmGqV26J/gaqpXCRRlLAiJPIP09256667KCoq4oILLqCiooLPP/8cIHzNB0LXdaqu0dTmd7/7Hbm5uQwfPhwInTXl5ORQWVlJWVkZjzzyCOvWrasxlkNFO1MYPHgw69evZ/ny5VxwwQVce+21QOgs76KLLuLMM8/kqquuom/fvuH/tMePH89HH33EwoUL2bp1Kw899NBhx927dy/l5eV07twZCCWvqsQbzdVXX838+fMpKysLl+3bt48nnniCpUuXUllZSVFRUfi63f79+/nyyy+ZP38+EydO5Iorroj6ngF69uzJunXrKCkpYevWrZxxxhmsXr0agGbNmlFaWkppaWm1a1V9+vRh5cqVLFy4kPHjx8c0/PwXv/gFO3bsYPLkyTz88MNHrJ9O8ls2O6pykURRwoqQyD/MqVOnsmnTJhYvXkxpaSnf+973wv/RRXZB5eTksH///lqP9eyzz/Laa68xderUcKJ5/vnnGThwIHl5ebRp04Z+/frVOHN9u3btqp0RlZeXh7vTIrVq1Soc26hRo1i8eHF42913301paSlvvvkm7s4pp5wCQNu2bTEzmjRpwogRI1iwYMFhx33vvfc466yzwq8XLFhA7969a3y/ubm53HbbbdWSX9VgjpNOOgkz44orruD9998Pv7+hQ4diZvTu3ZtGjRpVG5BxqGOOOYahQ4cyadIkrrnmGl5//fUa60Y69dRTadGiBStWrDhi3V27doW7b6sGdWSKkgFdaJaXU62sWV4OJQO6pCgiyVZKWBES+Yf51Vdf0aZNG/Ly8pg7dy4bNsQ8o341s2bN4qGHHmLGjBk0b948XN6+fXvmzJkTvq4zf/58unbtGvUYZ5xxBmvXrqWsrIy9e/fy4osvcumllx5Wb+PGjeHnM2bM4NRTTwXgwIEDbNmyBYDly5ezfPly+vfvX20fd2f69OkUFhZGfQ9VZ1QrV66ka9eu5OTkHFYv0nXXXcdbb73Fpk2bACgoKGDVqlXh12+++WY4viFDhjBnzhwg1D24d+9eTjjhhKjHnTdvHl9++SUQOvNbtWoVHTp0qDGOsrKy8BeKDRs2sGbNGqKtwXbssceyY8eO8OuxY8cyfPhwHnjgAUaNGhW1Troa0quA8UO7U9CyGQYUtGzG+KHdGdKr4Ij7itSnBj8109Go+gOcOHsNldt2k9+yGSUDusT1h7l//36aNGnC8OHDGTx4MMXFxfTs2bPGZHIkN910E3v27OHCCy8EQgMvJk+ezJgxYxgxYgSFhYW4OyNGjKCoqCjqMXJzc3n88ccZMGAABw4cYOTIkXTr1g2Ae++9l+LiYi699FIee+wxZsyYQW5uLscffzxTpkwBQt1xZ599NgDHHXccf/jDH8JdgsOHD2fTpk24Oz179mTy5MmH/fx33nmHBx54AKg++KI2jRs35uabb+aWW24BID8/n/vuu48f//jH5OXl0aFDh3B8I0eOZOTIkRQWFtK4cWOeffbZGm/E/fTTT7nxxhtxdw4ePMjFF1/MT3/60xrj+Nvf/saECRPIy8ujUaNGTJo0KZwML7roIp566iny8/O54YYbGDRoEG3btuX+++9n4cKFzJs3j5ycHKZNm8YzzzzDiBEj6NevH4WFhQwaNCitr2MN6VWgBCUpZzX17Wei4uJiP7QbbPXq1eFv3qmwbNkyRo0aFbVrLBuVl5czatQoZs6cCcCFF17Ic889R9u2bVMcWfpJ9WdXJBnMbLG7F8dSV2dYCTR58mQee+wxHn300VSHkjbatWsXTlYQ6soTkbqZvrSiXnuE0p0SVgKNHj2a0aNH12nfMWPGMG/evGplt9xyCyNGjIj5GFu2bIk6XPztt9+mVatWdYorU82ePZuxY8dWK+vUqVONM1WIpLuq+0arbsWpum8UaLBJKyu6BLt27arJRCWjuDsfffSRugSlRv0mzKEiyi03BS2bMW/cT1IQUd2oSzBC06ZN2bJli5YYkYzhwXpYTZs2TXUoYdnW9ZQJsvGG7pQkLDN7GrgE+MLdDxv3bGbfAf4AtCcU48Pu/kxdfla7du0oLy8PD38WyQRVKw6ng2zsesoE+S2bRT3Dasg3dKfqDGsK8DjwXA3bxwCr3H2wmbUG1pjZVHffe7Q/KC8vT6u2isShtinLlLBSp2RAl2pfJKDh39CdkoTl7u+aWcfaqgDHWqgP7xhgK1D79A8ikhDZ2PWUCRJx32i6S9drWI8DM4BK4Fjg5+5+MLUhiWSnbOx6yhTZdkN3uk7NNAAoBfKBnsDjZhZ1rQwzu8HMFpnZIl2nEql/mktQ0kW6JqwRwMvB+l6fAGVA1LmM3P1Jdy929+Jo6ymJSHw0l6Cki3TtEvw7cD7wnpl9D+gCRF8rQ0QSLtu6niQ9pWpY+wvAucAJZlYO3AfkAbj7ZOBfgClm9iFgwFh3r3l9CBERafBSNUrwqiNsrwT6JykcETkC3Tgs6SBduwRFJE3oxmFJF+k66EJE0kRtNw6LJJMSlojUSjcOS7pQwhKRWtV0g7BuHJZkU8ISkVrpxmFJFxp0ISK1ysY56yQ9KWGJyBHpxmFJB+oSFBGRjKCEJSIiGUEJS0REMoISloiIZAQlLBERyQhKWCIikhGUsEREJCMoYYmISEaIK2GZWWcze9XMNpvZF2b2ZzPrXF/BiYiIVIn3DOt54H+B7wP5wEvAC/EGJSIicqh4E5a5+/+4+/7g8QfA6yMwERGRSPHOJTjXzMYBLxJKVD8H/mJmxwO4+9Y4jy9JoiXQRSTdxZuwfh78+0+HlI8klMB0PSsDaAl0EckEcSUsd+9UX4FI6tS2BHq2JiydcYqkn7gSlpnlABcDHSOP5e7/Fl9YkkxaAr06nXGKpKd4B128ClwHtAKOjXjUysyeDobBr6hhe4mZlQaPFWZ2oOq6mNQ/LYFeXW1nnCKSOvFew2rn7kV12G8K8DjwXLSN7j4RmAhgZoOBWzWAI3FKBnSpdkYB2b0Eus44RdJTvGdYM82s/9Hu5O7vArEmoKvQvV0JNaRXAeOHdqegZTMMKGjZjPFDu2dt95fOOEXSU7xnWPOBV8ysEbAPMMDd/bi4IwPMrDkwELipljo3ADcAtG/fvj5+bFbSEujf0hmnSHqK9wzrEaAv0Nzdj3P3Y+srWQUGA/Nq6w509yfdvdjdi1u3bl2PP1qylc44RdJTvGdYa4EV7p6o2S2upIF3B2r4tIhIbOJNWBuBd8xsJrCnqrA+hrWb2XeAc4Br4j1WutLw6fSk34tIeoo3YZUFj8bBIyZm9gJwLnCCmZUD9wF5AO4+Oah2OfCGu++MM8a0pRt205N+L5Ipsq2HJt6ZLn4LYGYtjiaxuPtVMdSZQmj4e4Ol4dPpSb8XyQTZ2BMQ73pYfc1sFbA6eN3DzCbVS2RZQMOn05N+L5IJsvEG93hHCT4KDAC2ALj7MuDH8QaVLUoGdKFZXk61Mg2fTj39XiQTZGNPQLzXsHD3z8wssuhATXWluqrT9mzqg84E+r1IJshv2YyKKMmpIfcExJuwPjOzMwE3s8bAzQTdgxIb3bCbnvR7kXSXjTe4x5uwRgP/ARQA5cAbwC/jDUpERGqXjT0B8SasLu4+PLLAzPoB8+I8riRZtg2PFWkIsq0nIN5BF7+PsUzSWNXw2Iptu3G+HR47fWlFqkMTEQmr0xmWmfUFzgRam9mvIzYdB+RE30vSlW6UFZFMUNcuwcbAMcH+kQs2bgeGxRuUJFc2Do8VkcxTp4Tl7n8F/mpmU9x9Qz3HJEmWjcNjRSTzxHUNS8kqftOXVtBvwhw6jfsL/SbMScl1I90oKyKZIO4bh6Xu0mUusGwcHisimUcJK4XSabBDtg2PFZHME1fCMrOmwPVAN6BpVbm7j4wzrqygwQ4iIrGL9z6s/wG+T2gC3L8C7YAd8QaVLdJpVvB0uJYmIlKbeBPWye7+G2Cnuz8LXAx0jz+s7JAugx1047CIZIJ4E9a+4N9tZlYIfAfoGOcxs8aQXgWMH9qdgpbNMKCgZTPGD+2e9GtJ2biujohknngHXTxpZt8FfgPMIHQz8b1xR5VF0mGwg66liUgmiCthuftTwdO/Ap3jD0dSQTcOi2SmbJu0Ot5Rgk2AnxLqBgwfy90fiC8sSaZsXFdHJNOly32cyRTvNaw/A5cB+4GdEQ/JIOlyLU1EYpeN157jvYbVzt0HHu1OZvY0cAnwhbsX1lDnXOBRIA/Y7O7nxBOo1C4drqWJSOyy8dpzvGdY75tZXYaxTwFqTHRm1hKYBFzq7t2An9UtPBGRhimd7uNMlngT1lnAYjNbY2bLzexDM1t+pJ3c/V1gay1VrgZedve/B/W/iDPOtKUbdkWkLtLlPs5kirdLcFC9RHG4HwB5ZvYOofW2/sPdn0vQz0qZbLxoKiL1IxsnrY53WHuilhfJBU4HzgeaAf9nZvPd/eNDK5rZDcANAO3bt09QOImRTpPfikjmybZrz/F2CSZKOTDL3Xe6+2bgXaBHtIru/qS7F7t7cevWrZMaZLyy8aKpiEhdpWvC+jNwtpnlmllzoA+wOsUx1btsvGgqIlJXKUlYZvYC8H9AFzMrN7PrzWy0mY0GcPfVwCxgObAAeMrdV6Qi1kTKxoumIiJ1lZIFHN39qhjqTAQmJiGclMnGi6YiInWlFYdTLNsumoqI1FW6XsMSERGpRglLREQyghKWiIhkBCUsERHJCBp0kWLZtgCbiEhdKWGlkOYSFBGJnboEUygbF2ATEakrJawU0lyCIiKxU8JKIc0lKCISOyWsFNJcgiIisdOgixTSXIIiIrFTwkoxzSUoIhIbdQmKiEhGUMISEZGMoIQlIiIZQQlLREQyghKWiIhkBCUsERHJCEpYIiKSEZSwREQkIyhhiYhIRkjJTBdm9jRwCfCFuxdG2X4u8GegLCh62d0fSF6Eku20sKZI+knV1ExTgMeB52qp8567X5KccES+pYU1RdJTSroE3f1dYGsqfrbIkWhhTZH0lM7XsPqa2TIzm2lm3WqqZGY3mNkiM1u0adOmZMYnDZQW1hRJT+masJYAHdy9B/B7YHpNFd39SXcvdvfi1q1bJy1Aabi0sKZIekrLhOXu29396+D560CemZ2Q4rAkS2hhTZH0lJbrYZnZ94HP3d3NrDehxLolxWFJltDCmiLpKVXD2l8AzgVOMLNy4D4gD8DdJwPDgBvNbD+wG7jS3T0VsUp20sKaIuknJQnL3a86wvbHCQ17FxERAdL0GpaIiMihlLBERCQjKGGJiEhGUMISEZGMoIQlIiIZQQlLREQyghKWiIhkBCUsERHJCNaQJpAws03AhlTHUUcnAJtTHUQaUXtUp/aoTu1RXSa3Rwd3j2nm8gaVsDKZmS1y9+JUx5Eu1B7VqT2qU3tUly3toS5BERHJCEpYIiKSEZSw0seTqQ4gzag9qlN7VKf2qC4r2kPXsEREJCPoDEtERDKCElaCmdlAM1tjZp+Y2bgo25uY2R+D7R+YWceIbXcG5WvMbEAy406UuraHmV1oZovN7MPg358kO/ZEieczEmxvb2Zfm9ntyYo5keL8mykys/8zs5XBZ6VpMmNPhDj+ZvLM7NmgHVab2Z3Jjr3eubseCXoAOcCnQGegMbAMOO2QOr8EJgfPrwT+GDw/LajfBOgUHCcn1e8phe3RC8gPnhcCFal+P6luk4jt04CXgNtT/X5S/BnJBZYDPYLXrbL8b+Zq4MXgeXNgPdAx1e8pnofOsBKrN/CJu69z973Ai8Blh9S5DHg2eP4n4Hwzs6D8RXff4+5lwCfB8TJZndvD3Ze6e2VQvhJoamZNkhJ1YsXzGcHMhgDrCLVJQxBPe/QHlrv7MgB33+LuB5IUd6LE0x4OtDCzXKAZsBfYnpywE0MJK7EKgM8iXpcHZVHruPt+4CtC3wxj2TfTxNMekX4KLHX3PQmKM5nq3CZm1gIYC/w2CXEmSzyfkR8AbmazzWyJmd2RhHgTLZ72+BOwE9gI/B142N23JjrgRMpNdQANnEUpO3RYZk11Ytk308TTHqGNZt2Ahwh9m24I4mmT3wL/7u5fBydcDUE87ZELnAWcAewC3jazxe7+dv2GmFTxtEdv4ACQD3wXeM/M3nL3dfUbYvLoDCuxyoETI163AyprqhOcun8H2BrjvpkmnvbAzNoBrwD/6O6fJjza5IinTfoA/2pm64FfAXeZ2U2JDjjB4v2b+au7b3b3XcDrwA8THnFixdMeVwOz3H2fu38BzAMyevomJazEWgicYmadzKwxoQuiMw6pMwO4Nng+DJjjoaukM4ArgxFAnYBTgAVJijtR6tweZtYS+Atwp7vPS1rEiVfnNnH3s929o7t3BB4FHnT3x5MVeILE8zczGygys+bBf9znAKuSFHeixNMefwd+YiEtgB8BHyUp7sRI9aiPhv4ALgI+JjTS5+6g7AHg0uB5U0IjvD4hlJA6R+x7d7DfGmBQqt9LKtsDuIdQf3xpxKNNqt9Pqj8jEce4nwYwSjDe9gCuITQAZQXwr6l+L6lsD+CYoHwlocRdkur3Eu9DM12IiEhGUJegiIhkBCUsERHJCEpYIiKSEZSwREQkIyhhiYhIRlDCEhGRjKCEJRInM2tpZr+MeJ1vZn9K0M8aYmb31uPxHm5IS7VIw6b7sETiFKw/9Jq7FybhZ71P6IbRzfV0vA7Af7l7Q5mbURownWGJxG8CcJKZlZrZRDPraGYrAMzsOjObbmavmlmZmd1kZr82s6VmNt/Mjg/qnWRms4LFKd8zs66H/hAz+wGwpypZmdnPzGyFmS0zs3eDspwghoVmttzM/ili/zuCxfyWmdkEAHffQGjm9+8nvJVE4qTZ2kXiNw4odPeeED7jilRIaAHKpoSmzxnr7r3M7N+BfyQ0D+CTwGh3X2tmfYBJwKFddf2AJRGv7wUGuHtFMNciwPXAV+5+RrBe2DwzewPoCgwB+rj7rqpEGVgSHHtanVtAJAmUsEQSb6677wB2mNlXwKtB+YeEJms9BjgTeClimZBoi1O2BTZFvJ4HTDGz/wVeDsr6B8ccFrz+DqGJky8AnvHQLOZ49XWRviC0BIVIWlPCEkm8yIUmD0a8Pkjob7ARsK3qDK0WuwklIADcfXRwNnYxUGpmPQmtjfTP7j47ckczG0jN66k1DY4tktZ0DUskfjuAY+u6s7tvB8rM7GcAwXIQPaJUXQ2cXPXCzE5y9w/c/V5gM6E1kWYDN5pZXlDnB8HSEm8AI82seVAe2SX4A0Kzm4ukNSUskTi5+xZC14pWmNnEOh5mOHC9mS0jtBzEZVHqvAv0sm/7DScGgyhWBNuWAU8RWkpiSVD+/4Bcd59FaN2kRWZWCtwOECS2k4FFdYxbJGk0rF0kg5jZfwCvuvtb9XS8y4Efuvtv6uN4IomkMyyRzPIg0Lwej5cLPFKPxxNJGJ1hiYhIRtAZloiIZAQlLBERyQhKWCIikhGUsEREJCMoYYmISEZQwhIRkYyghCUiIhlBCUtERDKCEpaIiGQEJSwREckISlgiIpIRlLBERCQjNKgVh0844QTv2LFjqsMQEZEYLV68eLO7t46lboNKWB07dmTRIq1DJyKSKcxsQ6x11SUoIiIZQQlLREQyghKWiIhkhAZ1DSuaffv2UV5ezjfffJPqUERi1rRpU9q1a0deXl6qQ5E0Nn1pBRNnr6Fy227yWzajZEAXhvQqSHVYCdPgE1Z5eTnHHnssHTt2xMxSHY7IEbk7W7Zsoby8nE6dOqU6HElT05dWcOfLH7J73wEAKrbt5s6XPwRosEmrwXcJfvPNN7Rq1UrJSjKGmdGqVSv1CkitJs5eE05WVXbvO8DE2WtSFFHiNfiEBShZScbRZ1aOpHLb7qMqbwiyImGJiDQ0+S2bHVV5Q6CEJSKSgUoGdKFZXk61smZ5OZQM6JKiiBJPCesQ05dW0G/CHDqN+wv9Jsxh+tKKuI95zDHH1ENkISUlJXTt2pWioiIuv/xytm3bBoRGQ1577bV0796dU089lfHjx9d6nFmzZtGlSxdOPvlkJkyYELXOlClTaN26NT179qRnz5489dRT4W1jx46lsLCQwsJC/vjHP4bLr7vuOjp16hTep7S0tMYYTj/9dPbu3QvA+PHjmTp16mE/v1GjRixfvjxcVlhYyPr16wF44YUX6N69O0VFRQwcOJDNmzeH6/3+97+nS5cudOvWjTvuuKPGGHbt2sXw4cPp3r07hYWFnHXWWXz99dcA5OTkhN9Hz549Wb9+PQsWLAi/7tGjB6+88krU4z766KPs2rWrxp8LsG3bNiZNmlRrHZGaDOlVwPih3Slo2QwDClo2Y/zQ7g12wAUQGpHUUB6nn366H2rVqlWHldXklSXl3vWemd5h7GvhR9d7ZvorS8pjPkY0LVq0iGv/SLNnz/Z9+/a5u/sdd9zhd9xxh7u7T5061X/+85+7u/vOnTu9Q4cOXlZWFvUY+/fv986dO/unn37qe/bs8aKiIl+5cuVh9Z555hkfM2bMYeWvvfaaX3DBBb5v3z7/+uuv/fTTT/evvvrK3d2vvfZaf+mll474PsrKynzw4MHh1+eee65/8cUXh/38E0880a+44opwWbdu3bysrMz37dvnrVu39k2bNrm7e0lJid93333u7j5nzhw///zz/ZtvvnF3988//7zGOB588EG/9dZbw68/+uij8H7Rfm87d+4Mt39lZaW3bt06/DpShw4dwrHV1gbdunWrcfvRfHZFMhWwyGP8P15nWBESOerm66+/5vzzz+eHP/wh3bt3589//jMA69ev59RTT2XUqFF069aN/v37s3t3zRdN+/fvT25u6G6EH/3oR5SXlwOhi/Q7d+5k//797N69m8aNG3PcccdFPcaCBQs4+eST6dy5M40bN+bKK68MxxOLVatWcc4555Cbm0uLFi3o0aMHs2bNinl/gJkzZzJw4EAAtm/fzt69e2nd+vD5Ly+55BJWrlzJmjXVfwdVH+CdO3fi7mzfvp38/HwAnnjiCcaNG0eTJk0AaNOmTY1xbNy4kYKCb7+RdunSJbxfNM2bNw+3/zfffKK+ZSYAABrSSURBVBN1cMRjjz1GZWUl5513Hueddx4bNmzglFNOYfPmzRw8eJCzzz6bN954g3HjxvHpp5/Ss2dPSkpKavyZIhKSsIRlZiea2VwzW21mK83slih1zjWzr8ysNHjcG7FtoJmtMbNPzGxcouKMlMhRN02bNuWVV15hyZIlzJ07l9tuu43QlwtYu3YtY8aMYeXKlbRs2ZJp06bFdMynn36aQYMGATBs2DBatGhB27Ztad++PbfffjvHH3981P0qKio48cQTw6/btWtHRUX0rs9p06ZRVFTEsGHD+OyzzwDo0aMHM2fOZNeuXWzevJm5c+eGtwHcfffdFBUVceutt7Jnz56ox501a1Y4Yb311lucf/75Ues1atSIO+64gwcffLBaeV5eHk888QTdu3cnPz+fVatWcf311wPw8ccf895779GnTx/OOeccFi5cGPXYACNHjuShhx6ib9++3HPPPaxduza8bffu3eHuv8svvzxc/sEHH9CtWze6d+/O5MmTwwmsys0330x+fj5z585l7ty5dOjQgbFjxzJ69GgeeeQRTjvtNPr378+ECRM46aSTKC0tZeLEiTXGKCIhiTzD2g/c5u6nAj8CxpjZaVHqvefuPYPHAwBmlgP8JzAIOA24qoZ961UiR924O3fddRdFRUVccMEFVFRU8PnnnwOEr/lA6LpO1TWa2vzud78jNzeX4cOHA6GzppycHCorKykrK+ORRx5h3bp1NcZyqGhnCoMHD2b9+vUsX76cCy64gGuvvRYIneVddNFFnHnmmVx11VX07ds3/J/2+PHj+eijj1i4cCFbt27loYceOuy4e/fupby8nM6dOwOh5FWVeKO5+uqrmT9/PmVlZeGyffv28cQTT7B06VIqKyspKioKX7fbv38/X375JfPnz2fixIlcccUVUd8zQM+ePVm3bh0lJSVs3bqVM844g9WrVwPQrFkzSktLKS0trXatqk+fPqxcuZKFCxcyfvz4mO6X+sUvfsGOHTuYPHkyDz/88BHri8jhEpaw3H2juy8Jnu8AVgOxXg3sDXzi7uvcfS/wInBZYiL9ViJH3UydOpVNmzaxePFiSktL+d73vhf+jy6yCyonJ4f9+/fXeqxnn32W1157jalTp4YTzfPPP8/AgQPJy8ujTZs29OvXr8alVtq1a1ftjKi8vDzcnRapVatW4dhGjRrF4sWLw9vuvvtuSktLefPNN3F3TjnlFADatm2LmdGkSRNGjBjBggULDjvue++9x1lnnRV+vWDBAnr37l3j+83NzeW2226rlvyqBnOcdNJJmBlXXHEF77//fvj9DR06FDOjd+/eNGrUqNqAjEMdc8wxDB06lEmTJnHNNdfw+uuv11g30qmnnkqLFi1YsWLFEevu2rUr3H1bNahDRI5OUq5hmVlHoBfwQZTNfc1smZnNNLNuQVkB8FlEnXJqSHZmdoOZLTKzRZs2bYorzkSOuvnqq69o06YNeXl5zJ07lw0bYl4CpppZs2bx0EMPMWPGDJo3bx4ub9++PXPmzAlf15k/fz5du3aNeowzzjiDtWvXUlZWxt69e3nxxRe59NJLD6u3cePG8PMZM2Zw6qmnAnDgwAG2bNkCwPLly1m+fDn9+/evto+7M336dAoLC6O+h6ozqpUrV9K1a1dycnIOqxfpuuuu46233qLqd1xQUMCqVavCr998881wfEOGDGHOnDlAqHtw7969nHDCCVGPO2/ePL788ksgdOa3atUqOnToUGMcZWVl4S8UGzZsYM2aNURbNPTYY49lx44d4ddjx45l+PDhPPDAA4waNSpqHRGpXcLnEjSzY4BpwK/cffshm5cAHdz9azO7CJgOnAJEu80/ap+Ouz8JPAlQXFwcvd/nKAzpVVCvw0L3799PkyZNGD58OIMHD6a4uJiePXvWmEyO5KabbmLPnj1ceOGFQGjgxeTJkxkzZgwjRoygsLAQd2fEiBEUFRVFPUZubi6PP/44AwYM4MCBA4wcOZJu3ULfFe69916Ki4u59NJLeeyxx5gxYwa5ubkcf/zxTJkyBQh1x5199tkAHHfccfzhD38IdwkOHz6cTZs24e707NmTyZMnH/bz33nnHR544AGg+uCL2jRu3Jibb76ZW24JXQrNz8/nvvvu48c//jF5eXl06NAhHN/IkSMZOXIkhYWFNG7cmGeffbbGmSM+/fRTbrzxRtydgwcPcvHFF/PTn/60xjj+9re/MWHCBPLy8mjUqBGTJk0KJ8OLLrqIp556ivz8fG644QYGDRpE27Ztuf/++1m4cCHz5s0jJyeHadOm8cwzzzBixAj69etHYWEhgwYN0nUskSOwmvr26+XgZnnAa8Bsd/+3GOqvB4oJJa373X1AUH4ngLvXenNRcXGxH9oNtnr16vA371RYtmwZo0aNito1lo3Ky8sZNWoUM2fOBODCCy/kueeeo23btimOLP2k+rMrkgxmttjdi2Opm7AzLAt9pf1vYHVNycrMvg987u5uZr0JdVFuAbYBp5hZJ6ACuBK4OlGxJsrkyZN57LHHePTRR1MdStpo165dOFlBqCtPRCQWiewS7Af8A/ChmVVNd3AX0B7A3ScDw4AbzWw/sBu4MriRbL+Z3QTMBnKAp919ZQJjTYjRo0czevToOu07ZswY5s2bV63slltuYcSIETEfY8uWLVGHi7/99tu0atWqTnFlqtmzZzN27NhqZZ06dapxpgoRST8J7RJMtpq6BLt27arZryWjuDsfffSRugSlwTuaLsEGP9NF06ZN2bJlS4334YikGw8WcGzatGmqQxFJKw1+xeF27dpRXl5OvEPeRZKpadOmtGvXLtVhiKSVBp+w8vLytMy4iEgD0OC7BEVEpGFQwhIRkYyghCUiIhlBCUtERDJCgx90ISLxm760gomz11C5bTf5LZtRMqBLw16KXdKSEpaI1Gr60grufPnD8GrcFdt2c+fLHwIoaUlSqUtQRGo1cfaacLKqsnvfASbOXpOiiCRbKWGJSK0qt+0+qnKRRFHCEpFa5bdsdlTlIomihCUitSoZ0IVmedVXhG6Wl0PJgC4pikiylQZdiEitqgZWaJSgpJoSlogc0ZBeBUpQknIJ6xI0sxPNbK6ZrTazlWZ2S5Q6w81sefB438x6RGxbb2YfmlmpmS06dF8REckuiTzD2g/c5u5LzOxYYLGZvenuqyLqlAHnuPuXZjYIeBLoE7H9PHffnMAYRUQkQyQsYbn7RmBj8HyHma0GCoBVEXXej9hlPqAFgEREJKqkjBI0s45AL+CDWqpdD8yMeO3AG2a22MxuqOXYN5jZIjNbpEUaRUQaroQPujCzY4BpwK/cfXsNdc4jlLDOiiju5+6VZtYGeNPMPnL3dw/d192fJNSVSHFxsdf7GxARkbSQ0DMsM8sjlKymuvvLNdQpAp4CLnP3LVXl7l4Z/PsF8ArQO5GxiohIejtiwjKzzmb2qpltNrMvzOzPZtY5hv0M+G9gtbv/Ww112gMvA//g7h9HlLcIBmpgZi2A/sCK2N6SiIg0RLF0CT4P/CdwefD6SuAFqo/mi6Yf8A/Ah2ZWGpTdBbQHcPfJwL1AK2BSKL+x392Lge8BrwRlucDz7j4rxvckIiINUCwJy9z9fyJe/8HMbjrSTu7+N8COUOcXwC+ilK8Dehy+h4iIZKtYEtZcMxsHvEho5N7Pgb+Y2fEA7r41gfGJiIgAsSWsnwf//tMh5SMJJbAjXs8SERGJ1xETlrt3SkYgIiIitTliwjKzHOBioGNk/ZpG/omIiCRCLF2CrwLfAB8CBxMbjoiISHSxJKx27l6U8EhERERqEctMFzPNrH/CIxEREalFLGdY8wndxNsI2Efo3ip39+MSGpmIiEiEWBLWI0Bf4EN31+SyIiKSErF0Ca4FVihZiYhIKsVyhrUReMfMZgJ7qgo1rF1ERJIploRVFjwaBw8REZGki2Wmi99CaJkPd9+Z+JAkFaYvrWDi7DVUbttNfstmlAzowpBeBakOK2XUHiLpJ5b1sPqa2SpgdfC6h5lNSnhkkjTTl1Zw58sfUrFtNw5UbNvNnS9/yPSlFakOLSXUHiLpKZZBF48CA4AtAO6+DPjxkXYysxPNbK6ZrTazlWZ2S5Q6ZmaPmdknZrbczH4Yse1aM1sbPK6N/S3J0Zo4ew279x2oVrZ73wEmzl6ToohSS+0hkp5iuYaFu38WLKZY5UBNdSPsB25z9yXB6sGLzexNd18VUWcQcErw6AM8AfQJli65DygmNCP8YjOb4e5fxhKvHJ3KbbuPqryhU3uIpKdYzrA+M7MzATezxmZ2O0H3YG3cfaO7Lwme7wj2OfQiwGXAcx4yH2hpZm0JndG96e5bgyT1JjAw9rclRyO/ZbOjKm/o1B4i6SmWhDUaGEMo2ZQDPYFfHs0PMbOOQC/gg0M2FQCfRbwuD8pqKo927BvMbJGZLdq0adPRhCWBkgFdaJaXU62sWV4OJQO6pCii1FJ7iKSnWLoEu7j78MgCM+sHzIvlB5jZMcA04Ffuvv3QzVF28VrKDy90fxJ4EqC4uFg3N9dB1eg3jYoLUXuIpKdYEtbvgR/GUHYYM8sjlKymuvvLUaqUAydGvG4HVAbl5x5S/k4MsUodDelVoP+QI6g9RNJPjQnLzPoCZwKtzezXEZuOA3Ki71VtfwP+G1hdy6wYM4CbzOxFQoMuvnL3jWY2G3jQzL4b1OsP3HnEdyMiIg1WbWdYjYFjgjrHRpRvB4bFcOx+wD8AH5pZaVB2F9AewN0nA68DFwGfALuAEcG2rWb2L8DCYL8H3H1rLG9IREQaJjvSnLZm1sHdNyQpnrgUFxf7okWLUh2GiIjEyMwWu3txLHWPOEowU5KViIg0bLEMaxcREUk5JSwREckItY0S/D013PsE4O43JyQiERGRKGobJajRC1lEy2lIbfT5kHRQY8Jy92cjXwcT2Lq7f53wqCSpqpbTqJqhvGo5DUD/KYk+H5I2YlkPq9DMlgIrgFVmttjMuiU+NEkWLachtdHnQ9JFLFMzPQn82t3nApjZucB/EZoFQxqAihqWzaipXLKLlltJX9nWVRvLKMEWVckKwN3fAVokLCJJuhyLNtdwzeWSXbTcSnrKxpWxY0lY68zsN2bWMXjcA5QlOjBJngM1zHZSU7lkFy23kp6ysas2loQ1EmgNvAy8EjwfkcigJLkKavimXFO5ZJchvQoYP7Q7BS2bYYQ+F+OHdm/QXU+ZIBu7ao94DStY8Vf3XDVgJQO6VBsFBvoGLdVpuZX0k9+yWdTrzA25q/aICcvMignNst4xsr67FyUurOyRDhdNtWDh4dLh9yJSm2z8ohnLKMGpQAnwIXAwseFkl3S6v0XfoL+VTr8XkZpk4xfNWBLWJnefkfBIslBtF00b8ocu3en3Ipki275oxpKw7jOzp4C3gT1VhTUseR9mZk8DlwBfuHthlO0lwPCIOE4FWgeLN64HdgAHgP2xrpWSabLxomkm0O9FJD3FkrBGAF2BPL7tEnRCowZrMwV4HHgu2kZ3nwhMBDCzwcCth6wqfJ67b44hvoyVjRdNM4F+LyLpKZZh7T3cvdjdr3X3EcFj5JF2cvd3gViXtb8KeCHGug2G7m9JT/q9iKSnWBLWfDM7LVEBmFlzYCAwLaLYgTeCeQtvOML+N5jZIjNbtGnTpkSFmRC6vyU96fcikp7MjzCbgZmtBk4iNLvFHsAIzdp+xGHtZtYReC3aNayIOj8HrnH3wRFl+e5eaWZtgDeBfw7O2GpVXFzsixZpVRQRkUxhZotjHacQyzWsgXHGcyRXckh3oLtXBv9+YWavAL2BIyYsERFpuGKZ6WJDon64mX0HOAe4JqKsBdDI3XcEz/sDDyQqBhERyQyxnGHViZm9AJwLnGBm5cB9hEYa4u6Tg2qXA2+4+86IXb8HvGKhmcJzgefdfVai4hQRkcyQsITl7lfFUGcKoeHvkWXrgB6JiUpERDJVwhKWxEZz1omIxEYJK4WmL62g5KVl7DsYGqlZsW03JS8tAzRnnYjIoWK5D0sS5P4ZK8PJqsq+g879M1amKCIRkfSlM6wU2rZ731GVS/Koq1Yk/ShhiRxCy4uIpCd1CabQd5vnHVW5JEdty4uISOooYaXQfYO7kZdj1crycoz7BndLUUQCWl5EJF0pYaXQkF4FTBzWo9okqxOH9VC3U4rVtIyIlhcRSS0lLJFDaHkRkfSkQRcppIv76amq7TVKUCS9KGGlUG0X9/WfY2oN6VWg34FImlGXYArp4r6ISOx0hpVC+S2bURElOenivojEIttucNcZVgrp4r6I1FXVNfCKbbtxvr0GPn1pRapDS5iEJSwze9rMvjCzFTVsP9fMvjKz0uBxb8S2gWa2xsw+MbNxiYox1Yb0KmD80O7VhrWPH9q9QX9DEpH6kY03uCeyS3AK8DjwXC113nP3SyILzCwH+E/gQqAcWGhmM9x9VaICTSVd3BeRusjGa+AJO8Ny93eBrXXYtTfwibuvc/e9wIvAZfUanIhIhsvGG9xTfQ2rr5ktM7OZZlY1H1EB8FlEnfKgLCozu8HMFpnZok2bNiUyVhGRtJGN18BTmbCWAB3cvQfwe2B6UG5R6nqUstAG9yfdvdjdi1u3bp2AMEVE0k82XgNP2bB2d98e8fx1M5tkZicQOqM6MaJqO6Ay2fGJiKS7bLsGnrIzLDP7vplZ8Lx3EMsWYCFwipl1MrPGwJXAjFTFKSIi6SFhZ1hm9gJwLnCCmZUD9wF5AO4+GRgG3Ghm+4HdwJXu7sB+M7sJmA3kAE+7u9aMFxHJchbKEQ1DcXGxL1q0KNVhiIhIjMxssbsXx1I31aMERUREYqKEJSIiGUEJS0REMoJmaxeRI8q2WcElPSlhiUittDK2pAt1CYpIrbJxVnBJT0pYIlKrbJwVXNKTEpaI1CobZwWX9KSEJSK1ysZZwSU9adCFiNSqamCFRglKqilhicgRZdus4JKe1CUoIiIZQQlLREQyghKWiIhkBCUsERHJCA1qPSwz2wRsSHUcdXQCsDnVQaQRtUd1ao/q1B7VZXJ7dHD31rFUbFAJK5OZ2aJYFzHLBmqP6tQe1ak9qsuW9lCXoIiIZAQlLBERyQhKWOnjyVQHkGbUHtWpPapTe1SXFe2ha1giIpIRdIYlIiIZQQlLREQyghJWgpnZQDNbY2afmNm4KNubmNkfg+0fmFnHiG13BuVrzGxAMuNOlLq2h5ldaGaLzezD4N+fJDv2RInnMxJsb29mX5vZ7cmKOZHi/JspMrP/M7OVwWelaTJjT4Q4/mbyzOzZoB1Wm9mdyY693rm7Hgl6ADnAp0BnoDGwDDjtkDq/BCYHz68E/hg8Py2o3wToFBwnJ9XvKYXt0QvID54XAhWpfj+pbpOI7dOAl4DbU/1+UvwZyQWWAz2C162y/G/mauDF4HlzYD3QMdXvKZ6HzrASqzfwibuvc/e9wIvAZYfUuQx4Nnj+J+B8M7Og/EV33+PuZcAnwfEyWZ3bw92XuntlUL4SaGpmTZISdWLF8xnBzIYA6wi1SUMQT3v0B5a7+zIAd9/i7geSFHeixNMeDrQws1ygGbAX2J6csBNDCSuxCoDPIl6XB2VR67j7fuArQt8MY9k308TTHpF+Cix19z0JijOZ6twmZtYCGAv8NglxJks8n5EfAG5ms81siZndkYR4Ey2e9vgTsBPYCPwdeNjdtyY64ETSAo6JZVHKDr2PoKY6seybaeJpj9BGs27AQ4S+TTcE8bTJb4F/d/evgxOuhiCe9sgFzgLOAHYBb5vZYnd/u35DTKp42qM3cADIB74LvGdmb7n7uvoNMXl0hpVY5cCJEa/bAZU11QlO3b8DbI1x30wTT3tgZu2AV4B/dPdPEx5tcsTTJn2AfzWz9cCvgLvM7KZEB5xg8f7N/NXdN7v7LuB14IcJjzix4mmPq4FZ7r7P3b8A5gEZPd+gElZiLQROMbNOZtaY0AXRGYfUmQFcGzwfBszx0FXSGcCVwQigTsApwIIkxZ0odW4PM2sJ/AW4093nJS3ixKtzm7j72e7e0d07Ao8CD7r748kKPEHi+ZuZDRSZWfPgP+5zgFVJijtR4mmPvwM/sZAWwI+Aj5IUd2KketRHQ38AFwEfExrpc3dQ9gBwafC8KaERXp8QSkidI/a9O9hvDTAo1e8lle0B3EOoP7404tEm1e8n1Z+RiGPcTwMYJRhvewDXEBqAsgL411S/l1S2B3BMUL6SUOIuSfV7ifehqZlERCQjqEtQREQyghKWiIhkBCUsERHJCEpYIiKSEZSwREQkIyhhicTJzFqa2S8jXueb2Z8S9LOGmNm99Xi8hxvSzPfSsGlYu0icguUcXnP3wiT8rPcJ3X+zuZ6O1wH4L3dvKFNdSQOmMyyR+E0ATjKzUjObaGYdzWwFgJldZ2bTzexVMyszs5vM7NdmttTM5pvZ8UG9k8xsVrDW13tm1vXQH2JmPwD2VCUrM/uZma0ws2Vm9m5QlhPEsNDMlpvZP0Xsf0ewNtIyM5sA4O4bCE2k+/2Et5JInDT5rUj8xgGF7t4TwmdckQoJrefVlNBsBGPdvZeZ/Tvwj4SmVXoSGO3ua82sDzAJOLSrrh+wJOL1vcAAd68Ipq4CuB74yt3PCJZfmWdmbwBdgSFAH3ffVZUoA0uCY0+rcwuIJIESlkjizXX3HcAOM/sKeDUo/5DQ3HfHAGcCL0XMuh5tra+2wKaI1/OAKWb2v8DLQVn/4JjDgtffITQP5QXAMx6aFBavvszEF4Rm9BZJa0pYIokXuW7XwYjXBwn9DTYCtlWdodViN6EEBIC7jw7Oxi4GSs2sJ6GlJv7Z3WdH7mhmA6l5eZqmwbFF0pquYYnEbwdwbF13dvftQJmZ/QwgmF27R5Sqq4GTq16Y2Unu/oG73wtsJrTExGzgRjPLC+r8IJip+w1gpJk1D8ojuwR/QGiyWJG0poQlEid330LoWtEKM5tYx8MMB643s2WEZtc+dBl0gHeBXvZtv+HEYBDFimDbMuApQjNzLwnK/x+Q6+6zCC1DscjMSoHbAYLEdjKwqI5xiySNhrWLZBAz+w/gVXd/q56OdznwQ3f/TX0cTySRdIYlklkeBJrX4/FygUfq8XgiCaMzLBERyQg6wxIRkYyghCUiIhlBCUtERDKCEpaIiGQEJSwREckI/x/mbRStqEDaugAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 42 $$$ 42 $$$ 42 $$$ 42 $$$ 42 $$$ 42 $$$ 42 $$$ 42 $$$ 42 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.7181e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.666 +/- 0.025 uk (1.47303615748 %)\n",
      "mean Na temp = 1.718 +/- 0.022 uk\n",
      "111111    1.97253703704e-06\n",
      "222222       [16 19]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.97253703704e-06 *******\n",
      "init mol temp = 1.70616666667 (2.47774159838 %)\n",
      "mean mol temp = 1.97253703704 (4.98973906529 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 152.043153392E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 96.4580159137k\n",
      "TOTAL Na num = 96.4580159137k\n",
      "\n",
      "init mol temp/init Na temp = 0.993054342976\n",
      "init mol temp = 1.70616666667e-06 uk\n",
      "init na temp = 1.7181e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.45596431944\n",
      "\n",
      "init na num = 122.460549407 at 1.7181 uk\n",
      "init Na density = 1.50625834735e+11 cm^-3 (6.6225798179 %)\n",
      "\n",
      "init overlap density = 1.21929433538e+11 cm^-3 (8.63742644176 %) (34.1116568864 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.809485529172\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 27.7862729547 at 1.70616666667 uk\n",
      "init molecule density = 2.43368048789e+11 cm^-3 (8.55214625006 %)\n",
      "two-body rate coefficient = 2.67531572796e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0835328276627\n",
      "loss rate coefficient = 7.41707668735e-10 (12.0159256202 %) (35.1195453916 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 104.54011136\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0676517345425\n",
      "\n",
      "loss rate from EXP fit = 90.8070244132\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.67531572796e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0815427901004\n",
      "loss rate coefficient = 7.83193933794e-10 (10.0458084673 %) (34.4951919514 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.67531572796e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0861033087251\n",
      "loss rate coefficient = 8.20491762532e-10 (10.4193953434 %) (34.6058347583 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 43 $$$ 43 $$$ 43 $$$ 43 $$$ 43 $$$ 43 $$$ 43 $$$ 43 $$$ 43 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.59970731707e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.564 +/- 0.056 uk (3.59049152216 %)\n",
      "mean Na temp = 1.6 +/- 0.022 uk\n",
      "111111    1.81002136752e-06\n",
      "222222       [34 36]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.81002136752e-06 *******\n",
      "init mol temp = 1.729125 (2.82641171137 %)\n",
      "mean mol temp = 1.81002136752 (3.96732334479 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 104.199610673E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 72.3455545513k\n",
      "TOTAL Na num = 72.3455545513k\n",
      "\n",
      "init mol temp/init Na temp = 1.08090085077\n",
      "init mol temp = 1.729125e-06 uk\n",
      "init na temp = 1.59970731707e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.34888531362\n",
      "\n",
      "init na num = 91.8480053064 at 1.59970731707 uk\n",
      "init Na density = 1.25743299498e+11 cm^-3 (6.97378739491 %)\n",
      "\n",
      "init overlap density = 98350985838.8 cm^-3 (9.14415719988 %) (34.24347545 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.782156872225\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 27.9110055254 at 1.729125 uk\n",
      "init molecule density = 2.39608014092e+11 cm^-3 (8.40427984085 %)\n",
      "two-body rate coefficient = 2.71131501892e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0668575496814\n",
      "loss rate coefficient = 4.57008484192e-10 (11.3276180369 %) (34.8900405616 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 53.0153570762\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0547211910462\n",
      "\n",
      "loss rate from EXP fit = 45.3383227439\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.71131501892e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0631259273549\n",
      "loss rate coefficient = 5.23455081574e-10 (8.89210368334 %) (34.1770318769 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.71131501892e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.069935730814\n",
      "loss rate coefficient = 5.20260019133e-10 (9.38779768188 %) (34.3093390393 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 44 $$$ 44 $$$ 44 $$$ 44 $$$ 44 $$$ 44 $$$ 44 $$$ 44 $$$ 44 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.69071428571e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.675 +/- 0.015 uk (0.911153962445 %)\n",
      "mean Na temp = 1.691 +/- 0.012 uk\n",
      "111111    1.91192857143e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.91192857143e-06 *******\n",
      "init mol temp = 1.69408333333 (4.44463069938 %)\n",
      "mean mol temp = 1.91192857143 (5.03623526724 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 148.077479307E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 95.998576157k\n",
      "TOTAL Na num = 95.998576157k\n",
      "\n",
      "init mol temp/init Na temp = 1.00199267709\n",
      "init mol temp = 1.69408333333e-06 uk\n",
      "init na temp = 1.69071428571e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.32970245797\n",
      "\n",
      "init na num = 121.877256826 at 1.69071428571 uk\n",
      "init Na density = 1.53565358248e+11 cm^-3 (6.62765872969 %)\n",
      "\n",
      "init overlap density = 1.23870824961e+11 cm^-3 (8.85206085823 %) (34.1666355007 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.806632604996\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 31.8144348105 at 1.69408333333 uk\n",
      "init molecule density = 2.81635566768e+11 cm^-3 (9.10111565134 %)\n",
      "two-body rate coefficient = 2.65636873272e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0735751345425\n",
      "loss rate coefficient = 4.59452011823e-10 (11.5105163076 %) (34.94984958 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 63.2236672846\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0591921060345\n",
      "\n",
      "loss rate from EXP fit = 57.374766629\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.65636873272e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0716648578336\n",
      "loss rate coefficient = 4.91091714189e-10 (9.32666298305 %) (34.2926616406 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.65636873272e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0771607792334\n",
      "loss rate coefficient = 5.11652407196e-10 (9.75530534814 %) (34.4117128669 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 45 $$$ 45 $$$ 45 $$$ 45 $$$ 45 $$$ 45 $$$ 45 $$$ 45 $$$ 45 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.63624e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.611 +/- 0.026 uk (1.63578766007 %)\n",
      "mean Na temp = 1.636 +/- 0.018 uk\n",
      "111111    1.81451388889e-06\n",
      "222222       [22]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.81451388889e-06 *******\n",
      "init mol temp = 1.82458333333 (5.68573033957 %)\n",
      "mean mol temp = 1.81451388889 (3.80662027367 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 115.995867844E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 76.8822950529k\n",
      "TOTAL Na num = 76.8822950529k\n",
      "\n",
      "init mol temp/init Na temp = 1.11510740071\n",
      "init mol temp = 1.82458333333e-06 uk\n",
      "init na temp = 1.63624e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.85930831074\n",
      "\n",
      "init na num = 97.6077312253 at 1.63624 uk\n",
      "init Na density = 1.29178319409e+11 cm^-3 (6.93335041838 %)\n",
      "\n",
      "init overlap density = 99716447166.9 cm^-3 (9.48371777883 %) (34.3357088599 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.771928661273\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 28.7258891683 at 1.82458333333 uk\n",
      "init molecule density = 2.27506268429e+11 cm^-3 (10.5669295254 %)\n",
      "two-body rate coefficient = 2.86099628132e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0731814992872\n",
      "loss rate coefficient = 4.79099644924e-10 (11.9789908293 %) (35.1069255459 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 56.6638252268\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0593054137631\n",
      "\n",
      "loss rate from EXP fit = 48.1598180157\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.86099628132e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.070571912446\n",
      "loss rate coefficient = 5.30684253465e-10 (9.71066556788 %) (34.3990846647 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.86099628132e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.077011460138\n",
      "loss rate coefficient = 5.4331383951e-10 (10.1882642012 %) (34.5369472802 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 46 $$$ 46 $$$ 46 $$$ 46 $$$ 46 $$$ 46 $$$ 46 $$$ 46 $$$ 46 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.5815e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.524 +/- 0.04 uk (2.61949513907 %)\n",
      "mean Na temp = 1.582 +/- 0.029 uk\n",
      "111111    1.7780625e-06\n",
      "222222       [16 17]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.7780625e-06 *******\n",
      "init mol temp = 1.77866666667 (4.37006033589 %)\n",
      "mean mol temp = 1.7780625 (2.630555885 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 116.97197275E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 83.6135171622k\n",
      "TOTAL Na num = 83.6135171622k\n",
      "\n",
      "init mol temp/init Na temp = 1.1246706713\n",
      "init mol temp = 1.77866666667e-06 uk\n",
      "init na temp = 1.5815e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.7570778997\n",
      "\n",
      "init na num = 106.153513034 at 1.5815 uk\n",
      "init Na density = 1.47844950693e+11 cm^-3 (8.17326282283 %)\n",
      "\n",
      "init overlap density = 1.13708872622e+11 cm^-3 (10.2181601374 %) (34.5457782745 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.769108935332\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 35.2207732732 at 1.77866666667 uk\n",
      "init molecule density = 2.89816080872e+11 cm^-3 (10.1587024128 %)\n",
      "two-body rate coefficient = 2.78899769941e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.09648619733\n",
      "loss rate coefficient = 1.4748124645e-10 (14.0537062494 %) (35.8679057006 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 21.2956417496\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0778961157646\n",
      "\n",
      "loss rate from EXP fit = 17.2041787095\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.78899769941e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0861877789584\n",
      "loss rate coefficient = 1.72519105363e-10 (10.9215529912 %) (34.7603268072 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.78899769941e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0965868318267\n",
      "loss rate coefficient = 1.74775659727e-10 (11.75955561 %) (35.0326583083 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 47 $$$ 47 $$$ 47 $$$ 47 $$$ 47 $$$ 47 $$$ 47 $$$ 47 $$$ 47 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.604e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.573 +/- 0.051 uk (3.21317852955 %)\n",
      "mean Na temp = 1.604 +/- 0.018 uk\n",
      "111111    1.73395833333e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.73395833333e-06 *******\n",
      "init mol temp = 1.80404166667 (4.10203395765 %)\n",
      "mean mol temp = 1.73395833333 (4.18915391012 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 117.48707371E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 86.4043515549k\n",
      "TOTAL Na num = 86.4043515549k\n",
      "\n",
      "init mol temp/init Na temp = 1.12471425603\n",
      "init mol temp = 1.80404166667e-06 uk\n",
      "init na temp = 1.604e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.1896514185\n",
      "\n",
      "init na num = 109.696682669 at 1.604 uk\n",
      "init Na density = 1.49576328316e+11 cm^-3 (7.29752249478 %)\n",
      "\n",
      "init overlap density = 1.15038574307e+11 cm^-3 (9.62650836256 %) (34.375422372 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.769096123709\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 32.5731672201 at 1.80404166667 uk\n",
      "init molecule density = 2.62395017898e+11 cm^-3 (8.62642449947 %)\n",
      "two-body rate coefficient = 2.82878638941e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.119927210362\n",
      "loss rate coefficient = 1.53194151383e-10 (15.3783946206 %) (36.4073484493 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 22.8914533544\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.082886322455\n",
      "\n",
      "loss rate from EXP fit = 18.0582305212\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.82878638941e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.106384112429\n",
      "loss rate coefficient = 1.87596035655e-10 (12.4679343156 %) (35.2767541888 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.82878638941e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.122073712592\n",
      "loss rate coefficient = 1.74024308371e-10 (13.8308895371 %) (35.7811892674 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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mtDlKsBQ9lZYKllo4XIP6xOpa7fUxJmAMH97yIX8Y9weKKot4+NuHWbh5IYcuHqq3v6OdnmmRvVl9ZywHnp3Kh4tHM++GvmwtCuT2I8OJOL6Q213e5f3hH5I9YQUyfCJkHoYtz8A/b4QVQfDWzfDtckj6Gkpym/PROxSVpaPr0h3rYYWGhnLHHXfYzjdu3MjChQubdI8lS5YQGRnJkiVLWLt2LW+//TZQ91komoaqh1UDnQBLPT/1dU0cgdPr9NzW9zZmhs7ko+SPeDPhTRZuXsjoPqN5JO4RhvgNqfc6g17HqHBvRoV789zNg0i6eJmtxy6y9cRFnvneDIQQ6j2ImwY/ycwQSazlJPrMA5C+F378G1he0W7kFQ6BIyFoBASO0ObF9J33n3rJ9Ih6h2J7QpaOlftXcjLvZKvec6DXQJaNXNaq92wJXbEe1sGDBzl27BiRkZHNuv6NN94gJyenTvaLq5+FomkoD6sG9YnVtdqvh1Fv5OcDf85Xc77iqeFPcSr/FL/4+hc8+M2DHLxw7aFLIQQDe7vx+JT+fP7YOPY8cyO/mx1FiLcz639MY867qQz/1JX/u/xzNo95n5L/S+G7cW/zD8O9bMnxIjdhM3z1a3hjArwcBP+eCd88B8c+hYL0TpUPcfaQAFbMiSbAwxGBNgTbXQMuOguqHlbD9bAAnnrqKf74xz/Wad+/fz9jxoxhyJAhjBkzhqSkpDp9brvtNkpKShg1ahQffvghy5cvZ/Xq1WzcuLHOs1A0kcbWIekKW0vrYdVXT6p6aw1KTaVy3dF1csIHE2TUuij5i02/kLvTd9vqDDWWorJK+VVClvzVB4dljLUOVvgzX8mwp2va/IWc8tx6uf/zN6XctEzKf06R8iUfKV9007ZV/aV8b66UO/8kZfJWKUsarkWkaF1UPazOXQ8rJCREXrhwQQ4cOFAmJyfLDRs2yAULFkgppSwsLJQmk0lKKeXWrVvlnDlz6rXX2dnZdvziiy/KVatW1fssehotrYfVeceJOgAPRyMFZXXLcXg4tk5Qg6PBkQWRC7gr4i4+Sf6Et469xSPbHmGg10AWRi5keuh0DLrr/5O4Ohj5WXQffhbdhyqzhQOp+Tz49kGKK2qWShCcNnnzyBF79j/7gBb0UVUJF49C5iHIOAhZP8Gpr69c4hmq5UKs3vrEgoP71W+v6AasWbOGTz75BMBWD8vb27tOPaytW7cCWj2suXPncv78eSorK201rGrywAMP8Kc//YnZs2fz1ltv8c9//vOaNrRlPaw777zT1q++eliArR6Wt7d3nXvr9XqWLFnCihUrmDlzpq29sLCQBQsWkJycjBDC5lEq2od2GxIUQvxbCJEthDhao81LCLFVCJFs3Xta24UQYo0Q4rQQIkEIMbQ9bFx+WyTGqyasjDrB8tuaN47dEI4GR+4edDebbt/ES2NeotJcydPfPc3NH9/Mu8ffpaQ6pL0RGPQ6bujrTUlF3bo+ADnFFYxesY1nPk5kW3I+5X6xMPJBmPMGPHYAnj4Hv/gcpv5WE6jMQ7D1BVh/K7wcDGuGwoZF8MOrcHYnlDavBISi86DqYWE7r68eVjX33nsvu3fv5ty5c7a2559/nsmTJ3P06FG++OKLep+Dou1oTw9rHfAa8HaNtqeBbVLKl4UQT1vPlwEzgf7WbRTwunXfplTPmbRXxgWj3sjt/W9nVr9ZfJfxHf8++m9WHljJ3+P/zu39b2f+oPkEuDTuvf09HOuNZvR0MjI02JPP4zN5f/85HIw6xvb1YcqgXtw40I/e7u4QPlHbqinJhfOHISsesg5r3tixj6+87hGshdP3iYPe0dAnBlz7dLv1Yd2V9qiH9fzzz9varlUP69FHHyUlJYWwsDDy8vKa7GVB7XpY48ePb7V6WEajkSeffJKXX36ZG2/UlrXUfA7r1q1r8j1V7auW0SzBsnpCQTWvl1L+dK1rpJS7hRChVzXPAiZZj9cDO9EEaxbwtnV8c68QwkMI0UdKeb459jaF2UMC2n2yXyd0TAyayMSgiSTmJPLOiXd4/8T7vHfiPSYFTmLeoHmM6j3qmr9GG4q0e/HWSGYPCaCiysy+s3lsP5nNtycusu1kNgBRAW7cOLAXUwb6ER3gjk4nwNkb+k3VtmpK8+B8PJw/AucTtP3JL6+87uSjiVfvaE3MekeBd/9OHZ3YU5kxYwZr164lJiaGiIiIJtXDCggIYPTo0baii1czf/58nnvuuXrrYTk6OrJnzx5be816WBaLBT8/P9sQZFNZv349Dz30EKWlpYSHh/PWW2816z5Xc//99/P73//edr506VIWLFjAX/7yF5uINYWrn4Wjo1q60RSavHBYCPE7YCFwBmzrPaWU8rr/elbB+lJKGWU9L5BSetR4PV9K6SmE+BJ4WUr5vbV9G7BMSlkntE4IsRhYDBAcHDwsLS2tSZ+ns3Kh5AIfnPyAj5M/Jr8in3D3cO6KuItb+96Km51bvdc0Nq2UlJJTF4vZfjKbbScu8tO5fCwSfFzsmRzhy5RBfozr74uL/XXEpuIyXDgKFxI0EbuYCNknwFypva63B7+B0CsaekVatyhNEHsw3XnhsKqHpbgW7Z7pQgiRBERLKSubdCFNEqyvgBVXCdZSKWX9q2+ttGfy2/aiwlzBltQtvH/ifY7mHsVB78DMsJncOeBOonyiWjQHUE1eSSW7TmWz/WQOu5KyKSqvwqgXjArzZvJAP24c6EeYT+PmCzCb4NIpTcguJlr3x6Ak+0ofl16aePkNtu4HaVnsjT3j12Z3FSxVD0txPTpCsD4CHpZSZl+3c91rQ6ktWEnAJCnleSFEH2CnlDJCCPGG9fj9q/td6/7dUbBqciz3GBuSNrApZRNlVWX09+zPHf3v4JbwW2pliW8JJrOFQ2n57DiZzbaT2ZzO1sqihPk4MzlCE6+RYV7YGZoYr1OcrQnXxaNw8ThkH4Psk2Cu0F4XOi1Pot+gK5vvIPDuBwa7a9+7i9FdBas1UPWwujcdIVjDgc+Ao0BFdbuU8rZGXBtKbcFaBeTWCLrwklIuFULcDDwG/Awt2GKNlHLk9e7f3QWrmuLKYjalbOKT5E84mnsUo87I5KDJzOo3izH+YxoVGt9YzuWWsiMpm+0ns9lzNpfKKgvOdnrG9vPhxoF+TIrwo7e7Q/Nubq6C/BTIPs7JI3s5n3yY4KpUQnUX0WPR+ugMWgJg3wiriEVo3ph3PzDYX/v+nRQlWIqeSkcI1jHgDSARqr9VQEq56zrXvY8WYOEDXAReBD4F/gsEA+eAO6WUeUIb53oNmAGUAovqm7+6mp4iWDVJykvik9OfsOnsJvIr8vFx9OFnYT/j1r63EuEZ0SpDhtWUVlax50wu209ms+NkNlmFWkjvoD5uTI7wZfJAP4YEeWDQN837ujpLvj2VDDJe5LmRguFOFzVPLOekJm7S+idX7ZH5RoDPgCt7n/6dfu2YEixFT6UjBGuXlLLlMaNtQE8UrGpMZhO7M3fz2enP+C7zO6osVfTz6MfN4TczI3QGga6Brfp+1YEbO5I08TqYlo/ZInFzMDBhgC+TI/yYMMAXX9fre0GNzpJvKofcZMhJ0ubJck5qx7lnwFJjAadLb024qgXMu7+2dw8EXevmnIOm11BTgqXoqXSEYP0FbSjwc2oPCV4zrL096MmCVZOC8gK+SfuGL858QXyOliw0xjeGmaEzuSnkJno592r19ywsM/HD6UvsOJnNzlM55FzW/jRiAt2ZNMCXiRF+xAV5oK8nk3CLy4uYTZCfahWvZLiUrAnapVNQXniln94evPtqw4ne/axi1k8bcnTyatY6subUUFOCpeipdER5kSHAaOCPwJ+t2+pm3EfRRng4eHBXxF2887N32HzHZn419FdUmitZeWAlUzdO5Rdf/4J3j7/LhZILrfae7o5auqhVd8ay75kpfPn4OJ6aNgCjXsdrO05zx+s/Muz3W3n8/cN8dCjDJmjQCuVF9EZNfAbdAuOehNn/gAe+hWVp8NRpWPQ13LoGRi0GjxDIPg4/roFPH4b/dxOsCoeVIfDmZPjoAdixAhL+CxmHoCz/mm+9aktSLbECKDOZWbWlblLUzoSLi0ur3WvJkiUMHDjQlni2oECr3WYymViwYAHR0dEMGjSIFStWXPM+mzdvJiIign79+vHyyy/X22fdunX4+voSFxdHXFxcrczvy5YtIyoqiqioqFolSBYuXEhYWJjtmvoyvlczbNgwKiu1AOgVK1bw3nvv1Xl/nU5HQkKCrS0qKorU1FQA3n//faKjo4mJiWHGjBlcunTJ1u9vf/sbERERREZGsnTp0gZtKC0tZf78+URHRxMVFcW4ceMoLtaCn/R6ve1zxMXFkZqaynvvvVerTafT1fsZly9fTkBAgK3fpk2bGrShPupLBnw1qamp/Oc//2nSfZtCk2fnpZST28IQRdsQ4BLA/dH3c3/0/aQUpvBN6jd8k/YNKw+sZOWBlUT7RHNj8I1MCZ5CmHvd/HDNQacTRAW4ExXgzmM39qegtJLvki+xMymHXady+OKIVg8oKsCNiQN8uWNoAG/uPkt5lW1KtHXKiwgBLr7aFjKm9mtmExScg9zT2pBi3hnt+Nw+SNwINX0+R0/NC/MK00q3eIZpx55hZBWUovmCtclqQg2169HUIcf25qabbmLFihUYDAaWLVvGihUrWLlyJRs2bKCiooLExERKS0sZPHgw8+bNIzQ0tM49zGYzjz76KFu3biUwMJARI0Zw2223MXjw4Dp9586dy2uvvVar7auvvuKnn34iPj6eiooKJk6cyMyZM3Fz09Ysrlq1iv/5n/+55udITU0lICAAOzstKvWbb77hv//9b51+gYGB/OEPf6hTl6uqqoonnniC48eP4+Pjw9KlS3nttddYvnw5O3bs4LPPPiMhIQF7e3uysxsOsn711Vfp1asXiYmJACQlJWE0avlMHR0d64hRaGgo8+fPByAxMZFZs2YRFxdX772ffPJJnnrqqWs+h4b44x//yG9+85tr9qkWrLvvvrtZ73E9mixYQogX6muXUr7UcnMUbUmYexj/G/u//G/s/5JSmMK2c9vYlraNV396lVd/epVQt1AmB09mctBkYnxi0LfSfI+Hkx23xvpza6w/Fovk+Pkidp3KYWdSNmt3ncVskTgYdTgYdZSbLPRys+eZmYPa9ktZb7QOD/at+5qpXBtizDsDeWe1LfcMpO+Dox9dCfwAjjk4kGbx5ZzsRZrsxTnpR7r0o8IlCKoqWhzJePWQY2ZBGc98rH2RtfT5FBcXM2vWLPLz8zGZTPz+979n1qxZpKamMnPmTMaNG8ePP/5IQEAAn332WYNZGaZNm2Y7Hj16NBs3bgS0EjklJSVUVVVRVlaGnZ2dTUCuZv/+/fTr14/w8HAAfv7zn/PZZ5/VK1j1cfz4cSZOnIjBYMBgMBAbG8vmzZu56667Gv08vv76a2bMmAFo5VEqKyvx9fWt0++WW25h9+7dJCUlERFx5UdVdUbxkpISvL29KSoqol+/fgC8/vrrPP3007Zchn5+fg3acf78eUJCQmznNd/jerz//vu1sow0htTUVO69915KSrQcpq+99hpjxtT+gff0009TVlZGXFwckZGR/OpXv+L+++9n//79mM1mRo4cyYcffsjTTz/NiRMniIuLY8GCBTz55JNNsuV6NGcO69c1Th2AW4ATUsr7WtOw5qDmsJrHhZIL7EjfwfZz2zl44SBVsgoPew/GB4xnQtAExviPaTC7RkspKjfxg9X72p2cw3lr5OGAXi5M6O/LxAhfRoR64WBs/WCJZlFVoXlmeSmQn8LppKOknT5KEBcJFtk4iJrZuwW4+WtZ8D1CwDMEPEI4oR/EoEGDNdG8zrxZowNSmoiLiwsFBQWUlpbi5ubGpUuXGD16NMnJyaSlpdGvXz8OHjxIXFwcd911F7fddhv33HPPde976623MnfuXO655x5MJhP33nsv27Zto7S0lFdeeYXFixfXe93GjRvZvHmzbYjvnXfeYd++fXU8qXXr1vHMM8/g6+vLgAEDeOWVVwgKCuKbb77ht7/9LVu3bqW0tJSRI0fy6KOP8utf/5qFCxeyZ88e7O3tmTJlCi+//HIBjaQcAAAgAElEQVSdwooAs2bN4pVXXiE8PJyPP/6Y+Ph4XnrppTrvf/DgQUaOHMm2bdtYv349UVFRfPnll4SGhrJx40buu+8+nJ2d6d+/Pzt27LAN482aNYvNmzfj4ODA6tWrGTFiRL3PIj4+nmnTptG3b1+mTJnCggUL6N+/P6ANCUZHRwMQFhZmy7hfTd++ffnss8/qTTy8fPly1q1bh5ubG8OHD+fPf/4znp6elJaWotPpcHBwIDk5mXnz5lHf96iLi4ttaBLgueeeo7y8nLKyMgIDA3nmmWfYuXMnq1ev5ssvv6xzPbR8Dqs5Q4J/vurNVqMFYCi6KL2dezNv4DzmDZxHUWURP2T+wO6M3ezO3M0XZ79AL/TE+sYyPnA8Y/3HEuEVgU60TqJ/NwcjM6P7MDO6D1JKkrOL2ZWUw85T2by9J41/fZ+Cg1HHqDBvJgzwZeIAH/r6urRquH6TMNhbIxC1L5CjdpksSTqCySwBiR8FhBlyWDrSgWGuBVCQBvlpWqb7y9bS6NP/C9kSEJpo6e21xdH6qzdjg0OLrTHkKKXkN7/5Dbt370an05GZmWkrzFg95wPavE71HM21+MMf/oDBYLANT+3fvx+9Xk9WVhb5+fmMHz+eqVOn2ryoq225mvr+jW+99VbmzZuHvb09a9euZcGCBWzfvp1p06Zx4MABxowZg6+vLzfccAMGg/b1tmLFCnr37k1lZSWLFy9m5cqVvPBC7YGiyspKMjIybLZt3ryZRYsWNfhZ7777bv7whz/UyqloMpl4/fXXOXz4MOHh4Tz++OOsWLGC5557jqqqKvLz89m7dy8HDhzgrrvu4uzZs/V+xri4OM6ePcs333zDt99+y4gRI9izZw+DBg2qd0iwmn379uHk5NRglvyHH36Y559/HiEEzz//PL/+9a/597//jclk4rHHHiM+Ph69Xs+pU6ca/Nw1eeGFFxgxYgQODg6sWbOmUde0lNZYYeoE1P0LVHRJ3OzcmBk2k5lhMzFbzCRcSuC7jO/4PvN729Chl4MXN/jfwFj/sYzqMwo/p4aHN5qCEIIBvVwZ0MuVByeEU1pZxb6zeew6lcPuUzn87svj/A7Nuxjf34cJA3wZ29cHd6fWqVfWHFZtSbKKFYAgG0+yqzz55fF6PKCqCq3ac9ZlLcTebNLazJVaNKPl6lIXAn9XPZmXzVyNv7sDWMwtCtN/7733yMnJ4dChQxiNRkJDQ23lMmp6IHq9/rrVcdevX8+XX37Jtm3bbF/C//nPf5gxYwZGoxE/Pz/Gjh3LwYMH6xWswMBA0tPTbecZGRn1lpGvWbvqwQcfZNmyZbbzZ599lmeffRbQBKXaK6muf2Vvb8+iRYtYvbpujNh3333HuHHjbOf79+/n9ddfb/DzGgwGfv3rX7Ny5UpbW7WQ9O2rDTPfddddtuCRwMBA5syZgxCCkSNHotPpuHTpUr1DjqB5M3PmzGHOnDnodDo2bdp03cjSDz744JrDgb16XYkOfvDBB211z1555RV69erFkSNHsFgsODg0LhFAXl4excXFmEwmysvLG13upSU0Zw4rkSsz0nrAF1DzV90QvU7PEL8hDPEbwi+H/pKc0hx+zPpR2zJ/5KuzXwHQ170vo/1HM6r3KIb1Htas4cOGAgsmD/Rj8kBNENPzStmdrInXVwnn+eBAOjoBcUEejO/vy4QBPsQGNn3hcktokgdksAeffpBzApzr+aKymDURM1fatiUT4ZnNWZRVXfFAHA2CJaMdtKTDOgPojJpHZrDuq8/1dlq2/Aa84cLCQvz8/DAajezYsYPmJo7evHkzK1euZNeuXTg5Odnag4OD2b59O/fccw+lpaXs3buXX/3qV/XeY8SIESQnJ5OSkkJAQAAffPBBvdFm58+ftwnQ559/bvsSN5vNFBQU4O3tTUJCAgkJCba5teprpJR8+umn9XogmzdvthVqPHbsGAMHDkSvv/aPgYULF/KnP/3JVi4kICCA48ePk5OTg6+vL1u3brXZN3v2bLZv386kSZM4deoUlZWV+Pj41HvfH374gcGDB+Pp6UllZSXHjx9n0qRJ17TFYrGwYcMGdu/e3WCfms/uk08+sT2HwsJCAgMD0el0rF+/HrO57g8k0MqtmEwmWwDI4sWL+d3vfkdKSgrLli3jtddea/PyKc3xsG6pcVwFXJRSNlwFTdFutHU0ma+TL7P6zWJWv1lYpIWkvCT2nt/L3vN7+ejUR7x34j10Qscgr0GM7D2S4b2HM8RvCK52rte1uzGBBUFeTswfFcL8USGYzBaOpBew+1QOu5Mv8bftyby6LRlXewNj+nlrAtbfl2Bvp3rfs7VoqA5Zo0Pya6LTa5vxyi/c2eP8wdn3yr+ruwNLpoQyO8rTKmrVAlcBlcUg6/my0RmtQ4+akFVJgb29HfP/Zxa33vFzhg8fTlxcHAMHDmy6zcBjjz1GRUUFN910E6AFXqxdu5ZHH32URYsWERUVhZSSRYsWERMTU+89DAYDr732GtOnT8dsNnPfffcRGakVTn3hhRcYPnw4t912G2vWrOHzzz/HYDDg5eVlq0llMpkYP348AG5ubrz77ru2IcH58+eTk5ODlJK4uDjWrl1b5/137txpm6+qGXxxLezs7PjlL3/JE088AYC/vz8vvvgiEyZMwGg0EhISYrPvvvvu47777iMqKgo7OzvWr1/f4LD2mTNnePjhh5FSYrFYuPnmm7njjjuuacvu3bsJDAys470+8MADPPTQQwwfPpylS5cSHx+PEILQ0FDeeOMNAB555BHuuOMONmzYwOTJk2t5SjWXASxevJiYmBiGDh3K9OnTMRgM3H333ZjNZsaMGcP27dsZP368Lehl4cKFHR90ASCE0AO9qF0P61zDV7QPPTnoojkLWFuTSnMlCTkJ7L+wn33n95F4KRGTxYRO6IjwjGBYr2EM6zWMIX5D8HasXV6kNQILCkor+eF0Lt+fzmH3qUu2+wV7OTG+vw/j+/twQ18f3B1bd/iw0y0ctpivErIae4u2P3L0JA8u/R37v6pRAsTmqV0RtlrnOqMmpt2wSGdGRgYPPvggX3/9NaCF6b/99ts2b0TRenREpovH0fIAXuRKLkEppaz/p1M70pMFq62iyZpLeVU5CTkJHLh4gEMXD5GQk0CFNTN7iFsIcb5xDPEbQpxfHFNfPo6sZw17ozNdXIWUkrOXSvg++RLfJeew50wuJZVmdAJigzwY38+Hcf19GRLsgbEVhg+7Umqmta+/zpq//Y2/rl7JtBsn1hIy22Yx1TOfBleCRIxXxOxqUdMbQHRPYVO0nI4QrNPAKCllbpMubAd6smC1OL1RG2MymziWe4zD2Yc5nH2Y+Ox48iusWSQsjlSVBmEuC8ZcFoS5LAgsTq0mtpVVFuLTC/g+WRs+TMgowCLB2U7PqHBvxvXTPLB+fu0TfdglUjNZLJpwVQuY2cSjTy7lh737QWoRkUjJEw/MY9HcWVddLGoLmE3cDOQWXGbKz2ZZBe3Ks962bVutgIqewJYtW2oFjUD9oerdiY4QrB3ATZ1x3qonC1Zn87Cuh5SS1KJUjuQc4bMTP3Lg/GGwu4gQ2t+jrPQh1i+aGf1HEOUTxUCvgTgaWqfAY2GpiT1nteHD75MvkZpbCkAvN3vGWsVrbF8f/NyaWTblOnQJwWos1YEiNnGrqv+8vrk1sA5FGq4St3radAbltXUD2n0dFnAW2GmtClwz+e1fmnEvRSuxZHpEvXMpLU5v1EYIIQhzDyPMPYzZ/Wbz6eFM/vTNEbIrTuPheZ7wwDwuVB7jTwd2AKATOsLdwxnsPdi2RXhG4GRselCFu5ORGVG9mRHVG9CiD384fYnvrMl7P/4pE9AWL4/tp4nXqHAvXB1ab/5LStlxa8lak+pAEa4j7tUem03QquqKWmWFViPtStWiq97LUHuzem31ngudErhORnPiJa6mOR7Wiw0Y89sWW9NCerKHBZ0/51xzyC7N5uiloxzPPc7x3OMcyz1GXnkeAAJBiFsIA70GEuEVoe09I/Bx9Gm2GFSnjvrh9CW+P32J/Sl5VFRZ0OsEsYHumoD182FIsAf2huatgUpJScHV1RVvb+/uIVqtiZRa6iuLSRMvm7DVd1zVsOeGsIpYDW9NZ7AKbE2RqxY4Ne/Wlkgpyc3N5fLly4SF1c5Z2qZDgp2Zni5YPQEpJdml2ZzIO8GJ3BOcyDtBUl4SWSVZtj5eDl709+zPAM8B9PfQ9uEe4c0aUiw3mfnpXD4/nL7ED6dzbfNfDkYdI0K9bB7YYH+3ekun1IfJZCIjI8O2SFfRAqTUREtatOFJadHOLZYa7TWOZQPeGwJ0Oqtw6bTt6vPqY53uSpui0Tg4OBAYGGhbx1WNEixFj6OwopBT+ac4lX+KpLwkkvKTOFNwxhaZKBAEugbSz6Mf/Tz60dejL309+hLqFoqDofFzVYVlJvadzeXHM7n8cPoSydlabjV3RyM3hHszpp83Y/r60NfXWXlPnZHKUii9BCWXoDSvxnFuA1se1BvOhBb67+gJTt7g6AVOnta9l7Z39Kx9XL0Z7Nr1I3d2lGApFIDZYib9cjrJBcmczj9NckEyZwrOkFaUhtk6lCQQBLgEEO4RTrh7uG1eLdQtFE8Hz+u+R3ZRuU28fjyTawt86eVmz5i+PtzQ15sxfb0J9GzbBcyKNsJi1tJmVYtbaR6U5V0Rs7I862s1jsvyGlgWYMXobBUyD03AHDxqC5qjp/aard16bO/aLYctlWApFNfAZDaRVpTGmcIznCk4Q0phCmcLz5JamEqlpdLWz93enVC3UELcQgh1CyXYLZhQt1CCXIPqDfaQUpKWW8oeqwe258wlLhVr9wv2cmJMX29u6OvNDeHebRaBqOgESKllHakWr7J8bSvNg/ICKLWel+VBWUHtY4up4fsKfQ0h8wAH9xrH1nNbu/uVtuq9vjVSx7Y+bR3W7gDcD0RSIzRIlRdRdHXMFjNZJVmkFKaQWphKSlEK54rOkVqUSnZp7YJ7fo5+BLoGEuwWTJBrUK3Nzc4NIQRSSk5dLObHM9r8176UXC6Xa7+8+/m5cEO4JmCjw73xclbDRD0eKaGyRBOw8gJNwMqrBa3gqraa+0Lt+FpeHWienU3M3Gocu4O925X26uOr2+yc28TDa2vB2gCcBO5GS3o7H60e1hNNNbS1UYKlaCtKTaWcu3yOtKI00orSSL+czrmic6RfTienLKdWX1ejK4GugQS4BGibq7bv7eRP4WUXfkot4cczuRxIzaO0UhuaHNjb1SZeo8O8OzQDvaILUi125YVXBKz6uKwAKoqutNc6L4Ry63GDEZdWhF4blnRwg5v/Av1vahXT21qwDksphwghEqSUMUIII7BFStnhq1OVYCk6glJTKZnFmaRfTif9cjqZxZlkXM4goziDrOIsW+BHNZ72nvRx6UNvpz4YpTdFxc5kXXLgdJaBinJ3sDgzuI+7zQMbEeaFWyuuAaumOy6DUDQTKcFUekW8yguviFpFkdZu21+G0Q+B/5BWeeu2XjhcPchaIISIAi4Aoc24j0LRLXAyOtHfsz/9PfvXec0iLeSW5ZJZnElmcSbnS86TVZxFVnEWKUVnOV/8A+XmcjCAMRiMgB4jF6QH76e78u4Zd2SVB72dexHpF8TI4DAm9etPsLtfi4poNjZDvqKHIIQ25GfnDG6dN+lvczysB4CPgBjgLcAFeEFKWTdnfzujPCxFV0NKSX5FPhdKLnC+5DwXSi5woeQCF0suklVynvSi8+RXXEJy1XCN1OOk98TX0ZdQjz74u/bCz8kPH0cf/Bz98HHywcfRBw97j3qFraul8lJ0X9rUw5JS/st6uAtVaVihaBFCCLwcvPBy8GKw9+B6+5gtZvLK8zhXlMW+cykczkojOTeT7KJsiooKOZt3FIPdHqSoK0AGYcDL0QtfR198HDUR83LwIkdcwODqijS7IKtcsFS5gMWxwYKUCkVnoDkelj1wB9owYM16WB1edVh5WIqeRLnJzOFzBexLyWXv2Vx+Ss/GRCE6YxGB3lUE+Vbh5VaOvUMpl6vyyC3L5VLZJfLL823r0GoipR6dxYUI3z542nvi5eiFp70n3o7eeNh74OngiZeDl3Zs74mbvVuLhiUVXY+2mPds6zmsz4BC4BA1kt8qFIr2xcGo19Z19dXKclRUmTmSXsjes1oI/cHEfMpNWiqi/n4ujAzz4t4Ib0aEerD9VAq/37yfSlmEMBQjDJexM5YxtK8RV6cKcstzOXf5HPnl+ZRWldb7/jqhw93OHXd7dzwdPHG3d8fD3sO2udu729rc7Nxs5w56B5UFpAvSGeY9m+NhHZVSRrWRPS1CeViKjqCzRttVVllIzCxgX0oe+87mcSgtn+IKba1OiLcTvdwcOHXhMgVlJvzdHVg6Y2C9dpdXlVNQUUBeeR755fkUVBTYzgsrCmu1FVQUUFBeUGsB9tXY6exws3fDzc661XPsaueKq51rrWNXO1ecDc7odc1LOqxoGW0179nWHtaPQohoKWViM66tFyHEk8ADaEm7EoFFQB/gA8AL+Am4V0rZ8P8ChaID6Ay/OhvCzqBjWIgXw0K8eGQSVJktHD9fxP6UPG1LzaOgTAv6lcD2k9kUV1QxMsyLfr4u6KzJfB0MDvQ29Ka3c+9Gva+UkrKqMooqiyisKKSgooDCikLbefVxUWURRRVF5JTmcKbgDEUVRVw2Xb7u/V2MLrjYueBidMHVzrXWefXe2eisnRtdcLZztrVVb44GRzWc2UQamt9sz3nP5nhYx4F+QArakKAApJQyplkGCBEAfA8MllKWCSH+C2wCfgZ8LKX8QAixFjgipXz9WvdSHpaivenK0XYWiyQ5u5j9Kbnss4pY9mVtlN/DyciIUC9GhnoxMsyLSH83DPq2/4I3W8wUm4q5XHmZosoiiiuvHF+uvGx7rfq4uLKYy6bLlJhKtLbK4mt6d9UIBI4GR5uAORmdtGODM45Grd3J4GTbOxmdcDQ44mRwwtFo3V917mBw6NYi2FU9rJnNuOZ6GABHIYQJcALOAzeiZdMAWA8sB64pWApFe9MZfnU2F51OENHblYjertx7QyhSSs7llbLvrOZ9HUjNY+vxiwA42ekZGuzJ8FBPRoZ6ERfsgZNd6+em0+v0trmu5mIym2xiVlJVou1NJZSYSig2XTkuMZVQWlV65dhUyvmS85RWlVJqKqW0qpSyqqb9OzroHXA0ONo2B4NDrb2jwdHWx8HgcOV1vQP2Bnsc9Y7YG+yx19vjaHDEXm9ve626zagzdsgcYGcoEtucsPa01jRASpkphFgNnAPKgG/QAjoKpJTVybEygHrHV4QQi4HFAMHBwa1pmkJxXfw9HOv91env0fTaWx2NEIIQb2dCvJ25a0QQABeLyjmQmseBlDz2p+bz6rZkpASDThAZ4M7IUE+Gh3oxPMQTbxf7Dv4EGka9EU+9Z6Oy7V8Ps8VMubmcsqoySkwllFWV1RKzUpN1bz0vr9L6Vm+lVaWUV5WTX55PVlUW5VXltvs1VQyrEQgcDA7Y6+2vbAZ77HX2NmGr3uz0dnWO7fR22OlqHFs3e709Rp2xznF1/8mDXfitpT9/3XqW8wWVHTJf2+HZ2oUQnmgLkecCBcAG6/mLUsp+1j5BwCYpZfS17qWGBBXtzdVzWKD96lwxJ7rD57DagqJyE4fS8jmQonlgR9ILqTRrkYh9fZ0ZEeplE7AQbycVDXgNpJRUWiptIldhrqhzXG4up7yq3HZeYa6g3FxOpbmy7rl1X1F1pa3CXEGFucJ2bLpWNvgmsHriaqaHTm+Ve7X1kGBrMxVIkVLmAAghPgbGAB5CCIPVywoEsq5xD4WiQ6gWpc4YJdgWuDkYmRzhx+QIP0BbC3Y0s5ADqfkcSM3j66MX+OBAOgA+LvaMCPVkWIgnI0K9GOzvhrEd5sG6CkIIm/fTkiHQpmCRFirNlVRaKm0iVmmuvLJZGji2npssJirNlfT3qJuGrD3oDB7WKODfwAi0IcF1wEFgAvBRjaCLBCnlP651L+VhKRQdi8UiOZ1TzP4ULYz+QGoeGfna0JejUU9skDsjQr0YFuLJ0BDPNknqq+hadLkCjkKI36INCVYBh9FC3AO4EtZ+GLhHSnnNhcpKsBSKzseFwnIOpuVxMDWfQ2n5HD9fhNkiEQIierkyNMST4SGeDA/xIsjLUQ0j9jC6nGC1FkqwFIrG01ELnksqqjiSXsDBtHwOpuVzOC2fy9YFzb6u9gyzRiMODfEk0t8Ne4NaKNyd6WpzWAqFop3pyAXPzvYGxvTzYUw/HwDMFsmpi5c5mJbPT2maF7b52AVAW/wcG+jO0BBPhgVrIubTSaIRFe2P8rAUih5IZ1/wnH253CZeh9LyOZpZZItGDPF2YmiwJ0ODPRga4klEL9d2WdSsaBuUh6VQKK5JZ1/w7OfqwIyoPsyI0ooJlpvMHMsq5Ke0Ag6m5fH96Ut8cjgT0BY1xwZ6MDTEg6HBngwJ9sTL2a4jzVe0EUqwFIoeSFdb8Oxg1NvyIj5IOFJKMvLL+OmcdRjxXD5rd53FbNFGjMJ8nBkS7GH1xDwZ0MtFeWHdACVYCkUPZPJAX97de67e9q6AEIIgLyeCvJyYFafNuZVWVpGQUWgVsQJ2JeXw8U+1vbBqEYsL9lBzYV0QJVgKRQ9kx8mcJrV3NhqKcBwd7s3ocK0+mJSS9DyrF3Yun/j0At7cfZYqqxcW7OVEXJAmYkOCPRncxw07g/LCrkVHl9JRgqVQ9EA6+xzWtWhshKMQgmBvJ4K9nWztZZVmjmYV8lOaJmD7UnL5/IiWRMdOryMywI0hQZoHNiTIg0BPtS6sms5QSkcJlkLRA+lqc1g1WbUlqVbuRoAyk5lVW5Ku+8XpaKdnRKgXI0K9bG1ZBWXEpxcQn17AT2n5vLcvjX//kAKAj4sdcUEe1s2TmCD3HpudoyXPvbVQgqVQ9EA6Q6mI5tLa3qG/hyP+Ho78LFqLSDSZLSRduMzh9ALizxUQn57Ptyeybf37+joTV8MLi+jt2iNyJHYGr1wJlkLRA+nKSXvb2js06nVEBbgTFeDOvaNDACgsM5GQoQnYkYwCdp3K5qOfMgCwN2j9YwM9iA1yJy7Ig2Cv7pepvjN45WrhsEKh6FJ0hpIu1WH11UOJR9ILSMwspKJKW9zs4WS0CpgHsYHuxAZ1/ajEtnruauGwQqHotnQG77BmWP2tsf6ANpR46uJl4tMLSEgv5EhGAa9tT8YalEiAhyOxQe7EBHoQG+hBdKA7LvZd5yu4Mzz3rvO0FAqFohNj1OuI9Hcn0t+d+aO0tpKKKo5lFXEkvYD4jAISMgrYlKjlSRQC+vq6EBOoDSNGB7gzqI8bDsbOm+x39pCADh02VkOCCoWiS/Hp4UyWbDiCyXLlu8uoE6y6M7ZLzMHllVRyJEPzwhIyCjiSUcilYq1yklEviOjtSnSANpQYHejOgF7dO6hDDQkqFIpuy/LPj9USKwCTRbL882NdQrB2n8qpNaz27M8GMjLcm0SreCVkFPBVQhbv79cykdgbdAz2dyMmQBtOjAl0J9zXBb2uewV1NAYlWAqFoktRUGZqUntnor7Ft7/55KgtcKE62a+UkrTcUhIyC0lILyAhs5ANhzJYvycN0FJNRfq7ER2gCVh0oDth3s7ourmIKcFSKBSKdqKxi2+FEIT6OBPq48xt1qAOs0VyJqeYxIxCEjO1oA5tkbMWmehib7CKmCZgUQHdT8SUYCkUii6Fp5OR/NK63pSnU+fPQNGSxbd6nWBAL1cG9HLljmGBAFSZLZzOKSYho5CjmZqQvbM3zRZe72JvYHC1iFnXloX5OHfZ4UQlWAqFokvx4q2RLNl4BJO5RtCFXvDirZEdaFXjaO3Ftwa9joG93RjY2427hgcBWnj96exiEjMLbd7YuzVEzNlOz2B/N21xtL/mjYX7OHeJ8itKsBQKRZeiM6wHai7tkRLLqNcxqI8bg/pcEbFqTyzR6okdzSrig/3plJlSAXAw6hjc54qIRQa40d/PtdNlr1dh7QqFQtGOdHSJjmqq58SOZRWSmFHE0cxCjp8voriiCtCy1w/o7WIVMHci/d0Y1NsNR7vWXSfWlLB2JVgKhUKhAMBikaTllZKYWcixrEKOZRZxNKuQAuucoc662Pn5WwYzYUDrFPtU67AUCoVC0WR0OkGYjzNhNaITpZRkFpRxLKtI2zIL8eigABclWAqFQqFoECEEgZ5OBHo6MT2yd4fa0rlm1BQKhUKhaAAlWAqFQqHoEijBUigUCkWXoFMIlhDCQwixUQhxUghxQghxgxDCSwixVQiRbN17drSdCoVCoeg4OoVgAa8Cm6WUA4FY4ATwNLBNStkf2GY9VygUii7Np4czGfvydsKe/oqxL2/n08OZHW1Sl6HDBUsI4QZMAP4fgJSyUkpZAMwC1lu7rQdmd4yFCoVC0TpUZ2vPLChDomVrf+bjRCVajaTDBQsIB3KAt4QQh4UQ/xJCOAO9pJTnAax7v440UqFQKFrKtbK1K65PZxAsAzAUeF1KOQQooQnDf0KIxUKIg0KIgzk5OW1lo0KhULSYlmRrV3QOwcoAMqSU+6znG9EE7KIQog+AdZ9d38VSyjellMOllMN9fVsnVYhCoVC0BQ1lZW9utvaeRocLlpTyApAuhKhOVzwFOA58Diywti0APusA8xQKhaLVWDI9Akdj7eSxrZ2tvTvTWVIzPQ68J4SwA84Ci9DE9L9CiPuBc8CdHWifQqFQtJiuXBqlM6CytSsUCoWiw2hKtvYOHxJUKBQKhaIxKMFSKBQKRZdACZZCoVAougTdag5LCJEDpLXS7XyAS610r/ZG2d4xdFXbu6rdoGzvKFrT9hApZaPWJHUrwWpNhBAHGzsR2NlQtncMXdX2rmo3KNs7io6yXQ0JKhQKhaJLoARLoVAoFF0CJSNplf4AACAASURBVFgN82ZHG9AClO0dQ1e1vavaDcr2jqJDbFdzWAqFQqHoEigPS6FQKBRdAiVYCoVCoegS9EjBEkLMEEIkCSFOCyHq1N4SQtgLIT60vr5PCBFa47VnrO1JQojp7Wm39f2bZbsQwlsIsUMIUSyEeK0L2X2TEOKQECLRur+xC9k+UggRb92OCCFu7yq213g92Po381R72VzjvZv73EOFEGU1nv3armC39bUYIcQeIcQx69+8Q1ewXQgxv8bzjhdCWIQQca1uoJSyR22AHjiDVunYDjgCDL6qzyPAWuvxz4EPrceDrf3tgTDrffRdxHZnYBzwEPBaF3rmQwB/63EUkNmFbHcCDNbj6ppuhq5ge43XPwI2AE91oeceChxtT3tbyW4DkADEWs+9u8r3y1V9ooGzbWFjT/SwRgKnpZRnpZSVwAfArKv6zALWW483AlOEEMLa/oGUskJKmQKctt6vvWi27VLKEinl90B5+5lroyV2H5ZSZlnbjwEOQgj7drFaoyW2l0opq6ztDkB7Rzi15G8dIcRstHI/x9rJ3pq0yPYOpCV2TwMSpJRHAKSUuVJKczvZDa33zOcB77eFgT1RsAKA9BrnGda2evtYv3AK0X7tNObatqQltnckrWX3HcBhKWVFG9lZHy2yXQgxSghxDEgEHqohYO1Bs20XQjgDy4DftoOd9dHSv5kwIcRhIcQuIcT4tja2PpusNMXuAYAUQmwRQvwkhFjaDvbWa5eV5v4/nUsbCVZnKeDYntT3C+zqX74N9WnMtW1JS2zvSFpstxAiEliJ9iu0PWmR7VLKfUCkEGIQsF4I8bWUsr283JbY/lvgFSllcQc5LS2x/TwQLKXMFUIMAz4VQkRKKYta28h6aIndBrRh+xFAKbBNaLWitrWuiQ3SGv9PRwGlUsqjrWlYNT3Rw8oAgmqcBwJZDfURQhgAd/4/e3ceFlX1BnD8ewaQXRS3QFRwBVldcF9Q3DNzy1JzT21XK40y0xZTszL1Z5qWS2Zplktq7uGSuSuC4IIKKuAGCIKyCef3xwwTKCLKsIyez/PcR+bOvWfOXAfeOfee+74QX8B9i1Jh+l6SCtVvIYQTsBYYLKU8X+S9fUC/dB7rmEspTwG30V6HKy6F6XtT4EshRCQwFvhQCPFmUXc4r37pFLjvulP2cQBSyqNor8vULfIe39MnnUf9+7JbShkrpbwD/AU0LPIe59Evncf5rL9EEY2ugKdy0oUp2vPyLvx3YdH9nm3eIPeFxd90P7uTe9LFBYr3ouhj9z3H80Mp/kkXhTnm5XTb9zHCz4sL/026qIH2l7+iMfT9nm2mUPyTLgpz3Ctl/16inUAQDdgbQb/LA8fQTdYBdgDPGsMx1z3WoA1oNYusj8X5ISwtC9ANOIv2m9dE3bpPgR66ny3Qzow6BxzK+R8ATNTtdwboamR9j0T7bShZ98GqX9r7DXyEdmQSlGOpbAzHHBiEdsJCkO4PUU9j+rzkaGMKxRywCnnc++iO+wndcX/OGPqte+5lXd9PAl8ayzHXPecHHCjK/qnUTIqiKIpReBqvYSmKoihGSAUsRVEUxSiogKUoiqIYBRWwFEVRFKOgApaiKIpiFFTAUpRCEkKUE0K8nuOxoxDi9yJ6rZ5CiI8N2N5XJZEBX1Eeh5rWriiFpCuxsFFKWeRZLIQQ/6K9JybWQO3VABZJKYs75ZWiPDI1wlKUwpsO1NLVAZqpq8d0EkAIMVQIsU4IsUEIESGEeFMI8Y4uMesBIYS9brtaQogtQlvza68QwvXeFxFC1AXSsoOVEOIFIcRJoa21tUe3zkTXh8NCiGAhxOgc+0/Q1Vg6IYSYDiClvIg22e0zRX6UFKWQnsbkt4piaAGAh5TSB/Qjrpw80Nb1skCbIeB9KWUDIcQsYDDwLbAQbTb3cF0C0e+Ae0/VtUSbuSHbx0BnKWW0EKKcbt0IIFFK6asrw7JPCLENcAV6Ak2llHeyA6XOMV3bfzz2EVCUYqAClqIUvUApZRKQJIRIBDbo1ocAXkIIG6AFsDpHZvS8an45ADdyPN4HLBVC/Aas0a3rpGuzr+6xHVAH6AAskdqkqkgpcyYsvQ44FuL9KUqxUAFLUYpezvpdWTkeZ6H9HdQACdkjtHykoA1AAEgpX9WNxp4FgnQlyQXwlpRya84dhRBdeHCZGQtd24pSqqlrWIpSeEmA7ePuLLV1miKEEC8ACC3vPDY9BdTOfiCEqCWlPCil/BiIRVv2YSvwmhDCTLdNXV0xxm3AcCGElW59zlOCddEmW1WUUk0FLEUpJKmtvbRPNwFi5mM2MxAYIYQ4gTZb972lyQH2AA1ylCSfqZtEcVL33AngByAMOKZb/z3aEidbgD+BI0KIIOA9AF1gqw0cecx+K0qxUdPaFcWICCFmAxuklDsM1F4voKGUcpIh2lOUoqRGWIpiXL5AW+DPUEyBrw3YnqIUGTXCUhRFUYyCGmEpiqIoRkEFLEVRFMUoqIClKIqiGAUVsBRFURSjoAKWoiiKYhRUwFIURVGMggpYiqIoilFQAUtRFEUxCipgKYqiKEZBBSxFURTFKKiApSiKohiFEg9YQggLIcQhIcQJIUSoEOIT3fqlQogIIUSQbnlYcTtFURTlCVYaKg6nAe2llMm62jz/CCE2654bL6X8vaANVaxYUTo7OxdFHxVFUZQicPTo0VgpZaWCbFviAUtq08Un6x6a6ZbHSiHv7OzMkSOqDp2iKIqxEEJcLOi2JX5KEEAIYaKrgnod2C6lPKh7aqoQIlgIMUsIYf6AfUcJIY4IIY7cuHGj2PqsKIqiFK9SEbCklJlSSh/ACWgihPAAPgBcAV/AHnj/AfsulFI2llI2rlSpQKNKRVEUxQiVioCVTUqZAOwCukgpr0itNGAJ0KREO6coiqKUqBK/hiWEqARkSCkThBCWQAdghhDCQUp5RQghgJ7AyRLtqKIYSEZGBlFRUaSmppZ0VxSl2FhYWODk5ISZmdljt1HiAQtwAJYJIUzQjvh+k1JuFEL8rQtmAggCXi2Ozqw7Hs3MrWeISUjBsZwl4zvXo2eDqsXx0spTIioqCltbW5ydndF+H1OUJ5uUkri4OKKionBxcXnsdko8YEkpg4EGeaxvX9x9WXc8mg/WhJCSkQlAdEIKH6wJAVBBSzGY1NRUFayUp4oQggoVKlDYiXGl6hpWSZu59Yw+WGVLychk5tYzJdQj5UmlgpXytDHEZ14FrBxiElIeab2iKIpSfFTAysGxnOUjrVcUYzVnzhzc3NwYOHBgvtvZ2NgAEBkZiYeHR5H3K/v1CruN8mRSASuH8Z3r3XdANLr1ivIk+e677/jrr79YsWJFSXdFUQpMBawcjlyMJ+uedVm69YrypHj11Ve5cOECPXr0YNasWUyZMoWvvvpK/7yHhweRkZEFamvXrl20bduWfv36UbduXQICAlixYgVNmjTB09OT8+fPA3Dx4kX8/f3x8vLC39+fS5cuARAREUHz5s3x9fVl0qRJudqeOXMmvr6+eHl5MXnyZMO8ecWolfgswdJkxcFLD1z/eU/PYu6N8lQYOxaCggzbpo8PfPvtA59esGABW7ZsITAwkIoVKzJlypRCvdyJEyc4deoU9vb21KxZk1deeYVDhw4xe/Zs5s6dy7fffsubb77J4MGDGTJkCIsXL+btt99m3bp1jBkzhtdee43Bgwczb948fZvbtm0jPDycQ4cOIaWkR48e7NmzhzZt2hSqr4pxUyOsHOQDUu5KCUmpGcXbGUUxEr6+vjg4OGBubk6tWrXo1KkTAJ6envqR2v79+xkwYAAAgwYN4p9//gFg37599O/fX78+27Zt29i2bRsNGjSgYcOGnD59mvDw8GJ8V0pppEZYBdR19l5mveiDr7N9SXdFeZLkMxIqLqampmRl/Xcy/FEzcJib/5eXWqPR6B9rNBru3r2b5z45pzjnNd1ZSskHH3zA6NGjH6kvypNNjbBysDLL+3CYmwg0QvDi9/v5ausZMjLvvdKlKMbL2dmZY8eOAXDs2DEiIiIM/hotWrRg5cqVAKxYsYJWrVoB0LJly1zrs3Xu3JnFixeTnKytPBQdHc3169cN3i/FuKiAlcMXvb3Q3PNlTyNgRl9v/hrTmj4Nnfhf4Dn6zP+Xc9eT825EUYxMnz59iI+Px8fHh/nz51O3bl2Dv8acOXNYsmQJXl5eLF++nNmzZwMwe/Zs5s2bh6+vL4mJifrtO3XqxIABA2jevDmenp707duXpKQkg/dLMS5CPujCjRFq3LixLGwBx4flEtxy8gofrAnhTnom73dxZWgLZzT3RjlFycepU6dwc3Mr6W4oSrHL67MvhDgqpWxckP3VNax79GxQlZ4NqpKZmYlGo7nv/HoXDwca1ihPwB8hfLoxjJ2nr/FlX2+qqpuLFUVRipQ6JfgAkydPpkePHqSnp9/3XGVbC34c0phpvT05fimBzrP28NvhyzxJo1VFUZTSRgWsB7h8+TJXr17NNXsqJyEE/ZtUZ+vYNrg7lmXCH8EMX3qYa7dUjSNFUZSiUOIBSwhhIYQ4JIQ4IYQIFUJ8olvvIoQ4KIQIF0KsEkKUKc5+2ZmacuTIETw8PFi2bBl9+/YlOjr6vu2q2Vvx68hmTH6uPvsvxNHxm938fjRKjbYURVEMrMQDFpAGtJdSegM+QBchRDNgBjBLSlkHuAmMKLYeBQYyZ/lydvTsiQkwdOhQNm7cqE8ncy+NRjCspQubx7Sh3jO2vLf6BMOXHuZKosryriiKYiglHrCkVvYccTPdIoH2wO+69cuAnsXWqXr1YNgw/DdsIPjqVT5r1w6NRkNcXBwAX375JWfO3F8jy6WiNatGNWfyc/U5cCGeTt/s4ZeDl8jKUqMtRVGUwirxgAUghDARQgQB14HtwHkgQUqZfZt8FJBnyV8hxCghxBEhxJHCVrPUc3SE77+H0FDMu3Tho8BAIqys6H7+PFcvXmTKlCl8/vnnee6aPdraMrY1nk52fLg2hAE/HCAy9rZh+qYopcTSpUt58803H7pNTEyM/vErr7xCWFhYUXdNeUKVioAlpcyUUvoATkATIK+bVPIcpkgpF0opG0spG1eqVMmwHatXD37/HQ4epIqXF4wdS8XWraluZ8fPP/9Mnz592LRpE/v3779v1xoVrFnxSlOm9/YkNPoWnb/dw4Ld57mrsmQoT5F7A9YPP/xA/fr1S7BHijErFQErm5QyAdgFNAPKCSGy7xNzAmIetF+Ra9IEdu6EbdswrVyZoKtXmVqxIls2baJHjx506dKFhISE+3YTQvBSk+psf6ctbetWYvrm0/T43z5CohLzeBFFKT49e/akUaNGuLu7s3DhQkBbGHHixIl4e3vTrFkzrl27BsCGDRto2rQpDRo0oEOHDvr12ZKSknBxcSEjQ5sg+tatWzg7O7N69WqOHDnCwIED8fHxISUlBT8/P7Jv7t+yZQsNGzbE29sbf3//Ynz3irEq8RuHhRCVgAwpZYIQwhLogHbCRSDQF1gJDAHWl1wvASGgY0fo0AGLtWv58KOPGBQbyzt2dqxNSuLypUuULVuWrVu30qVLl1w3HD9jZ8HCwY3ZcvIKH68P5fl5/zCspQvvdKyLtXmJ/xcoJeiTDaGExdwyaJv1Hcsy+Tn3fLdZvHgx9vb2pKSk4OvrS58+fbh9+zbNmjVj6tSpTJgwgUWLFvHRRx/RqlUrDhw4gBCCH374gS+//JKvv/5a35atrS1+fn5s2rSJnj17snLlSvr06cMLL7zAvHnz+Oqrr2jcOHcigxs3bjBy5Ej27NmDi4sL8fGq5pzycKVhhOUABAohgoHDwHYp5UbgfeAdIcQ5oALwYwn28T9CQO/eEBJCtWXLWG1vz9msLDxffZU1n3xCt27dmDNnTp67dvFwYMe7benfpDqL90XQ4ZvdbAu9WsxvQFG0uf2yR1KXL18mPDycMmXK0L17dwAaNWqkLw0SFRVF586d8fT0ZObMmYSGht7X3iuvvMKSJUsAWLJkCcOGDcv39Q8cOECbNm1wcXEBwN5eVUFQHq7Ev95LKYOBBnmsv4D2elbpZGICgwdD//7UXLIEPvsMv08/xc7EhLFjx3Ls2DEGDhxIq1atsLKy0u9W1sKMqb086d3QiYlrQxi1/Cgd3KowpUd9nMpb5fOCypPoYSOhorBr1y527NjB/v37sbKyws/Pj9TUVMzMzPRnBkxMTPSlQd566y3eeecdevTowa5du/Is+NiyZUsiIyPZvXs3mZmZeHh45NsHKWWeZUUUJT+lYYRl3MzMYNQoCA+n4pw5XKpQgQBg5fLldOncmUaNGnH79v0zBBvVKM+Gt1rxQVdX9p2LpeM3e5i/6zzpdx9/Usa649G0nP43LgGbaDn9b9Ydv/9GZ0VJTEykfPnyWFlZcfr0aQ4cOPDQ7atW1U7SXbZs2QO3Gzx4MP379881urK1tc0zy3rz5s3ZvXu3vpSJOiWoFIQKWIZiYQFvvUXZyEimff01p8uXxw+ICg/n9q5d3L59+757t8xMNIxuW4sd77aldZ2KzNhymmfn7OXf87GP/PLrjkfzwZoQohNSkEB0QgofrAlRQUu5T5cuXbh79y5eXl5MmjSJZs2a5bv9lClTeOGFF2jdujUVK1Z84HYDBw7k5s2b+grCoL3p/tVXX9VPushWqVIlFi5cSO/evfH29ubFF18s/BtTnniqvEhRuX0bvvuOa9OnUyU+nik1a/JpRASLFy9myJAheZ4O2XnqGlM2hHI5PoXnvB2Z2M2NZ+wsCvRyLaf/TXTC/Zk1qpazZF9A+0K/HcVwntTyIr///jvr169n+fLlJd0VpZQqbHkRNcIqKtbWMH48VS5ehOnT6R0fT0UpGTZsGB19ffn111/vS6zr71aF7ePaMrZDHbaGXsX/610s2F2w04QxeQSr/NYriiG99dZbBAQEMGnSpJLuivIEUwGrqNnYwPvv43X5MlHTpjHHxoZjR48yYMAAPFxciL0nO4eFmQljO9Rlx7i2NK9VgembT9Pl2z0Ensm/PLjjA+pxPWi9ohjS3LlzOXfuXJFUK1aUbCpgFRcbG8oEBPDWtWuc//RTnjc35+6lS9j27MmVX37h/LlzuTavXsGKH4b4smSYLxIYtuQwI5Ye5sKN5DybH9+5HpZmJrnWWZqZML5zvaJ6R4qiKMVKBaziZmVF+UmTWHfzJqdmz8b80iUCBg6kbp06vNezJzd1CXaztatXma1j2xDQ1ZWDEfF0/nYPUzeFcSs1I9d2PRtUZVpvT6qWs0SgvXY1rbcnPRvkmYJRURTF6KhJFyUtLY3gL77gjRkz+CctjXIaDT1bteKb33+n/D25Ea8npfL11rP8dvQy9lZleKdTXV5sXA1TE/W9w5g8qZMuFOVh1KQLY2dujtcnn7A3OZnjU6fibWHB0j17qF6lCpFTp0LqfxWMK9taMKOvFxvebEWtyjZMXHuSZ+f8w56zBspSryiKUoqpEVYpIzMz+Xr4cM5t3sz8GzcIrlCBQ23bMnjBAsxzjLiklGw5eZVpm09zKf4OfvUq0dTZnp8PXiImIQXHcpaM71xPnRIshdQIS3laqRHWE0aYmPDesmUsuHYNsWMHHwvB6DVrqFOlCou6diVdV/VYCEFXTwe2v9OGD7u5cvBCPDO2nlE3DisFMmfOHNzc3Bg4cGC+29nY2AAQGRn50HRLhpD9eo+7TWRkJEII5s6dq1/35ptvsnTp0nzbnDJlClWrVsXHx0e/5FWBQSlZKmCVVkKAvz8rIiKY/d57OJQrx6gtW6hSowYzmjYlQ1cEz9zUhFFtamFnaXZfEykZmczcen9lZEX57rvv+Ouvv1ixYkVJd8XgKleuzOzZs0lPT3+k/caNG0dQUJB+KVeuXBH1UHlcKmCVcjY2Nrw1cyYH4uJY8MknJAIBhw4R5u4OffqArnjktVupee4fnZBSqPyEStHz8/PTjwAyMjLw8/Pj559/BuDOnTv4+fmxatUqQJvXz8/PjzVr1gAQGxuLn58fGzZsAODq1Ydn/3/11Ve5cOECPXr0YNasWUyZMoWvvvpK/7yHh4c+U/vD7Nq1i7Zt29KvXz/q1q1LQEAAK1asoEmTJnh6enL+/HkALl68iL+/P15eXvj7+3NJd6YgIiKC5s2b4+vre99NxzNnzsTX1xcvLy8mT55coP6ANu2Tv79/nnkPFy1ahK+vL97e3vTp04c7d+7k29Y333zD8OHDAQgJCcHDw4M7d+4wZcoUBg0aRPv27alTpw6LFi0qcP+Ux1fiAUsIUU0IESiEOCWECBVCjNGtnyKEiBZCBOmWbiXd15IkhGD0xx9z8dIl9m/ahPdHH7Fm61aatWjBty4u9Ll0AE1WZp77+n+zi3XHo8nKenKuVyqPb8GCBTg6OhIYGMi4ceMK3d6JEyeYPXs2ISEhLF++nLNnz3Lo0CFeeeUV/am5N998k8GDBxMcHMzAgQN5++23ARgzZgyvvfYahw8f5plnntG3uW3bNsLDwzl06BBBQUEcPXqUPXv2FLhPAQEBfP3112Rm5v6d6N27N4cPH+bEiRO4ubnx44//VS2aNWuW/nRgu3btABg7diznzp1j7dq1DBs2jO+//15ffSE4OFhfcfzTTz/NVVlZKRolXl4EuAu8K6U8JoSwBY4KIbbrnpslpfwqn32fOtWqVaNatWrQrRsHk5M5+d13jIuMxCHyc4ZbliW9+Yv86dOZVDMLLEw1DG7hzN7wWMauCuL7PRcY37ku7epVVqUdSpFdu3bpfzYzM8v12MrKKtdjOzu7XI8rVqyY63HOP/rFxdfXFwcHBwBq1apFp06dAPD09CQwMBCA/fv360eFgwYNYsKECQDs27ePP/74Q7/+/fffB7QBa9u2bTRooK08lJycTHh4OG3atClQn1xcXGjSpAm//PJLrvUnT57ko48+IiEhgeTkZDp37qx/bty4cbz33nu5ttdoNCxduhQvLy9Gjx5Ny5Yt9c89//zzWFpaYmlpSbt27Th06BA9e/YsUP+Ux2PQgCWEKA9Uy9mulPJYfvtIKa8AV3Q/JwkhTgFqalsBzJg1iylffMH+f/7hs3HjmBoaiu3fi1i292cSW/WmSsA7dO3kRlaWZENwDF9vO8vwpUdoVKM84zvXo1nNCiX9FpRSwNTUNFdey9TUvE8vP4i5ubn+Z41Go3+s0Wj0NbXulfMLU15fnqSUfPDBB4wePfqR+pLThx9+SN++fXMFuaFDh7Ju3Tq8vb1ZunRprmD/IOHh4djY2Nw3grq33+pLYNEz2ClBIcRnQDAwB/hatzzS6EgI4Yy2mONB3ao3hRDBQojFumCo3MPS0pL2HTuycudOWrVqhYe7O03829IvcAWVujXhWr9+aIJP8LxPVXa+25apvTyIunmHlxYeYNCPBwm6rGZCPe2cnZ05dkz7vfLYsWP6GlWG1KJFC1auXAnAihUraNWqFaAt/JhzfbbOnTuzePFikpO1qciio6O5fj3/fJr3cnV1pX79+mzcuFG/LikpCQcHBzIyMgo04SQxMZExY8awZ88e4uLi+P333/XPrV+/ntTUVOLi4ti1axe+vr6P1D/l0RnyGlY/oJaU0k9K2U63FLiuhRDCBvgDGCulvAXMB2oBPmhHYF8/YL9RQogjQogjN248vTfQVqlShb179/LvyZNU3byZuePH0zwrixqrV/Nagwacb9oUsw1/MrCxE7vHt2NiNzdCY27Rc94+Xll2mNCYxJJ+C0oJ6dOnD/Hx8fj4+DB//vwiSWA7Z84clixZgpeXF8uXL2f27NkAzJ49m3nz5uHr60ti4n+fwU6dOjFgwACaN2+Op6cnffv2zbMQ5MNMnDiRqKgo/ePPPvuMpk2b0rFjR1xdXXNtm/Malo+PD5GRkYwbN47XX3+dunXr8uOPPxIQEKAPnE2aNOHZZ5+lWbNmTJo0CUdHx8c5NMojMNiNw0KIP4DXpJSP9jVIu68ZsBHYKqX8Jo/nnYGNUsp8bwR5Em4cNpTjx4+zdOlSUhMTWfrzz9zNzOQ5YIqjIz7vvgsjRpBsYc3SfREs3HOBW6l36eL+DGM61MHNoWxJd/+Jpm4cNn5TpkzBxsbmvmteSv5K043D04DjQoitQog/s5eH7SS0J35/BE7lDFZCCIccm/UCThqwr0+kdcejaTn9b1wCNvHm1pu0GzqB75cuJezMGUzLlOEvExN2lCkD775LpqMj1u+M4U3HTPa+354x/nXYdy6WrrP38vqKo5y+equk346iKEouhhxhhQLfAyGA/gqulHL3Q/ZrBey9Z78Pgf5oTwdKIBIYrZug8UBP8whr3fFoPlgTQkrGf9N4Lc1M9BnbT548SUZGBnXr1uXm7t0MHTGCmKtXeR/o36EDZcaMIaGtPz/uv8SSfZEkp2lHXG/716G+oxpxGZIaYRVeSEgIgwYNyrXO3NycgwcPPmAPpTQo7AjLkAFrt5SyrUEae0xPc8BqOf1vovOoLly1nCX7AnJfSvztt98YNGgQzk5OnL1wAQeNhreyshhdowb2b71Fwksvszg0gSX7IklKu0vH+lV4q31tvJzUnf+GoAKW8rQqTacEjwohpgkhmgshGmYvBmxfyUdMHsHqQev79evH9evXOX3uHFu2bIHKlfkQ6B4fD++9R7k6Lrzz20z+6VqBsR3qcPBCHD3+t48hiw9xJDK+iN+JoihK3gx5H1YD3b/NcqyTQIFnCiqPz7GcZZ4jLMdylnlub2dnB2inD789ZgxRUVH0798fbGzY+P77LF6yhNd+/JExTZsyYvQbLHfy5YcDl+m7YD9NXOx5o11t2tSpqO49URSl2KjyIk+Ih13DKqiQkBC8vLywsbEhOTkZ9zJleCs9nZfLl0cMf4WVrV5gYdgtrt5KxbOqHa/51aKz+zOYaFTgKih1SlB5WpWaU4JCiI/zWgzVvpK/ng2qMq23hgXcjQAAIABJREFUJ1XLWSLQXrt61GAFUL9+ff744w/Onj3LsmXLSK9enVeBqsnJ3J71NcN7NWH37q+Y7pxBcmoGr684RodvdrPy0CXS7uady1BRFMUQDHkN63aOJRPoCjgbsH3lIXo2qMq+gPZETH+WfQHtH6t4o4mJCb1798bBwYHBgwczbPhwKlasyNsBAVS6fJnEiROZd+gA9q/1Yts3A/hOcwZrMglYE0KrGYHM33WexJSMInh3iiGpeli55ayH5eHhwZ9/5r4jx9vbW3vKXClRBruGJaXMlYlCCPEV8ND7sJTS7YMPPuDtt9/G2toaKSVtNmzgXHo6d4A6SUm8Nv09fpKSsD6v8H3DHszYcpp5ged4ybcaw1u5PPAamlKyvvvuOzZv3oyLi0tJd8XgsuthjR49mjJlyhR4v+zkt6dOnaJ169Zcv34djUbDqVOnyMrKYs+ePdy+fRtra+si7L2Sn6LM1m4F1CzC9pVikv0LmpmZyYgRI6hUqRJZWVnMmzePd/bvZ6KpKcsD17D8jx846ebLwh6vsWTfXZb8G0l3LwdGtq6JR1W7En4XpZefn9996/r168frr7/OnTt36Nbt/so6Q4cOZejQocTGxtK3b99czz0soWvOeljDhw8nMTExV9YGDw8PNm7ciLOz80P7vmvXLiZPnkyVKlUICgqid+/eeHp6Mnv2bFJSUli3bh21atXi4sWLDB8+nBs3blCpUiWWLFlC9erViYiIYMCAAdy9e5cuXbrkanvmzJn89ttvpKWl0atXLz755JOH9ge09bBatmzJsmXLGDlyZK7nFi1axMKFC0lPT6d27dosX75cXy4km5ubG6ampsTGxlK5cmV++eUXBg0axKlTp/jzzz/VSKsEGfIaVoguUW2w7ibiM8BsQ7WvPFzOTBctp//NuuPRBm3f1NSUt99+m/79+zNw4ECmTp0KQBt/fxodOkTm+vXcLG+G15cj2PK/oQyLPsyO4Gi6z/2HlxbuZ0fYNVWTqxRQ9bDyroeV7eDBg2g0GipVqgTAqlWrePHFF+nfvz+//vrrIx8fxXAMOcLqnuPnu8A1KWXetQUUg7t3lmB0QgofrAkBeKxrWQXRrl07Tp8+TZ06ddBoNHyzfj3Tw8O5ISVlM5J4ed03fJ+STljz3izN6sUrF+JxqWDFsFYu9GnohLV5aSjHVvLyGxHdWw/rXvfWwyoJT0o9rFmzZvHzzz9ja2vLqlWrEEJw+PBhKlWqRI0aNXBycmL48OHcvHmT8uVV8YiSYLARlpTyIhAFZAAmgKMQorqh2lfyN3PrmVxT2gFSMjKZufVMkb5uvXr10Gi0H6OqVavy7LPPsnfvXp7v149FKSm0zkhlR+Q/7J43lLnrZ1D2/Bk+Xh9Ksy92MHVTGJfj8y9RrhS90lwPKygoiKCgIM6dO8eIESMeqV8ffvghM2bMyPXehg4dyv/+9z9CQkKYPHlyrvc6btw4goKC2Lt3L61btwbg119/5fTp0zg7O1OrVi1u3bqlD7BK8TPkKcG3gGvAdmCTbtmY706KwTxKpoui8uKLL7JkyRJatWrF4sWLsbOzo0GDBnT++GPMoi7jP7o3zmsn8+mPr9MmKJDFe87T9su/GbXsMP+ej+VJuifQmKh6WHnLyspi9erVBAcHExkZSWRkJOvXr1enBUuQIc/JjAHqSSnjDNimUkCPmumiqJmamnLy5Enu3LmDi4sLMTExeE+dSlJSEmlp1/HY9yND9i4hq54f61N7s+3UderamTG4XT16NaiqThcWoz59+vDTTz/h4+ODr69vkdXDGj58ODNnztRPugBtPawBAwYwe/Zs+vTpo9++U6dOnDp1iubNmwPaqew///wzlStXfqTXnThxov60IvxXD6tGjRp4enrmW2Nrz549VK1alapV/zul3qZNG8LCwrhy5Yr+NKhSfAyZ/DYQ6FiS161UpovCZ7ooKuHh4UyYMIHJkydz6NAh/WkZMxMTDrdrz5kbgp98unHymdrYikz6+DgwqL0btSo9/L4cY6MyXShPq8JmujDk19gLwC4hxCYgLXtlXgUZFcPLDkozt54hJiEFx3KWjO9cr1QEK4A6deqwdu1aAHx8fLhw4QLh4eG8++67eH32GbUiIwl7/XUqBp4jy6UVK+4+z9Lj12lpm8mgrj508HbC1MSQ97krimJsDDnCmpzXeillvjdPCCGqAT8Bz6Cth7VQSjlbCGEPrEKbLSMS6CelvJlfW0/zCMvYZGVlcebMGf23rQbN/Qg7FUb6rTiQWbhXrIJ7xZpENOvP9So1qZKVwot17ejfpwUO5Y37xk01wio8VQ/LOJWaEdbDAlM+7gLvSimPCSFs0ZYp2Q4MBXZKKacLIQKAAOB9w/RWKWkajUb/wV13PJor5T2wae6NVW1fkkN3cerAb4TG7mdULXv6mnrw8y1r5mS5879pf9Nec5MB7dxo27GxSrr7lPL09CQoKKiku6EUsxK/sq2rInxF93OSEOIUUBV4HvDTbbYM2IUKWE+kmVvPYOHVFQvdY+t6Lbl18HeqdRjM+G8n4ejoyJUVK/hz3BDqObnyj0dXtkt7qv71C/3s0+n3Qhsc69cq0fdgjG7eSedaYirpmVmUMdFQxc6C8lYFT2WkKMWtxANWTkIIZ7R1tQ4CVXTBDCnlFSFEntODhBCjgFEA1aur276M0b1T703tKuP0+jIEktq1a7NixQqGjBpFp06d2Lt3LylnjvCMfSWSajTgm7YjmLM0lLaJm3iprh3tX+6KWZVHm0n2NLp5J53omylk6S4JpGdmEX1T+/+ggpZSWpWaq9hCCBvgD2CslPJWQfeTUi6UUjaWUjbOTqWiGJe8pt4LE1OqVigLQNeuXfnxxx/ZvHkzV69epXfv3qSTSczFI+x8sS5vmN/g4M2bjLgAzT/fxrThn3HuhxVwq8Afo6fOtcRUfbDKliUl1xIf7aZhRSlOhR5hCSHmoq0snCcp5dsFaMMMbbBaIaVco1t9TQjhoBtdOQCPdtegYjTGd66X55T88Z3rAWBvb8/w4cMBKFu2LB07dsTOzo65c+dibW2N+ZF/uLVkETExMWQ51eUb1/Z8F1yLJnsW8YJJLM92aoDt893hniSnT7P0zKxHWq8opYEhRlhHgKP5LPkS2rwsPwKn7pkC/ycwRPfzEGC9AfqqlEKPWnzy1VdfZfHixVhbW5OVlcXs2bNp0aIFU6ZMwc5aELt9PjHfDeZ4xCECqrSiyWET3hkwhX+HjiXrjzWQUnzZPwyhKJIaN6/nlOf6Mo9x68D48eNxdXXFy8uLXr16kZCQAEBGRgZDhgzB09MTNzc3pk2blm87W7ZsoV69etSuXZvp06fnuc3SpUupVKkSPj4++Pj48MMPP+ife//99/Hw8MDDw4NVq1bp1w8dOhQXFxf9PvlN1mjUqBHp6ekATJs27b5sGEuXLkWj0RAcHKxf5+HhQWRkJKBN5eTp6YmXlxddunQhNjZWv93cuXOpV68e7u7u+lyKeblz5w4DBw7E09MTDw8PWrVqpc/4YWJion8fPj4+REZGsmLFilzrNBpNnu8xZ80vHx8f/vrrrwf2IS9ffPHFQ7eJjIy8L3+jQUkpDboAtoDNI2zfCu0ILRgI0i3dgArATiBc96/9w9pq1KiRVJ4+GRkZMj4+Xkop5YULFyQg27VrJzdt2iQPn7suR338o7St7SsrdH9XNhk+T37Vfri8MGiUlGvWSHnnTrH3NywsrMDbrj0WJV0/2ixrvL9Rv7h+tFmuPRZVqD5YW1vLkKgEeeLyTf0SEpUg42+nPXJbW7dulRkZGVJKKSdMmCAnTJggpZRyxYoV8sUXX5RSSnn79m1Zo0YNGRERkWcbd+/elTVr1pTnz5+XaWlp0svLS4aGht633ZIlS+Qbb7xx3/qNGzfKDh06yIyMDJmcnCwbNWokExMTpZRSDhkyRK5evfqh7yMiIkI+99xz+sd+fn7y+vXr971+tWrVZL9+/fTr3N3dZUREhMzIyJCVKlWSN27ckFJKOX78eDl58mQppZR///239Pf3l6mpqVJKKa9du/bAfnzxxRdy3Lhx+senT5/W72dtbZ3vewgODpYuLi55Pjd58mQ5c+bMfPfPz8NeW0opAwMD5bPPPvvA5/P67ANHZAHjhSFzCXoIIY4DJ4EwIcRRIYR7AQLmP1JKIaX0klL66Ja/pJRxUkp/KWUd3b/xhuqr8mQxNTXVZ892dHRk3bp1/PTTT3Tr1o1bF0NYPfc9LG5dJG7j1xz5aSwfXwrF96Ytz/12muXtBpLw8lBYswbulL5EvEWZ1NjOLJPR/Z/nxa5t6duxJSf2bae8VRkiIyNxc3Nj5MiRuLu706lTJ1LyGZV26tQJU1Pt1YVmzZoRFRUFaJPa3r59m7t375KSkkKZMmUoW7Zsnm0cOnSI2rVrU7NmTcqUKcNLL73E+vUFP6kSFhZG27ZtMTU1xdraGm9vb7Zs2fIIRwM2b96sr8l169Yt0tPTyeu6ePfu3QkNDeXMmdz/B9l/VG/fvo2Uklu3buHo6AjA/PnzCQgI0CcGzi/F1JUrV3Klg6pXr16uBMP5+fXXXx+5XldkZCStW7emYcOGNGzYkH///fe+bQICAkhJScHHx4eBAwdy+PBhvLy8SE1N5fbt27i7u3Py5EkCAgLYu3cvPj4+zJo165H6URCGnHSxEHhHSllDSlkdeBdYZMD2FeWhzM3Nef7553Fy0p7ysrW1pXPnzlw4f559+/bRqYM/xIRw869vSXJ2YZLfCLzNmzBk8T42N+tO6osvwapVkE+OueJUlEmNHezLsnXTBk6FnODfvbuZ/GGAPgFxeHg4b7zxBqGhoZQrV67AGcoXL15M165dAejbty/W1tY4ODhQvXp13nvvPezt7fPcLzo6mmrVqukfOzk5ER2d96nPP/74Ay8vL/r27cvly5cBbQn7zZs3c+fOHWJjYwkMDNQ/B9qcgl5eXowbN460tLQ8292yZYs+YO3YsQN/f/88t9NoNEyYMOG+U2RmZmbMnz8fT09PHB0dCQsL02eYP3v2LHv37qVp06a0bduWw4cP59k2wPDhw5kxYwbNmzfno48+Ijw8XP9cdtDw8fGhV69e9+27atWqfAPW//73P7y8vPRlUkAbPLdv386xY8dYtWqVvlZZTtOnT8fS0pKgoCBWrFiBr68vPXr04KOPPmLChAm8/PLLeHh4MH36dFq3bk1QUJBBaq3dy5ABy1pKGZj9QEq5CzDulASK0fP19eXXX3/FxsaGFi1a0KJFC+rUqcOJE0EEfvEib7vEkf73bJZvnk3v5ERqxdvx5vfb+bdBO7Kefx6WLYP4khvcPyh5sSGSGksp+fDDD/Hy8qJDhw5ER0dz7do1AP01H9Be18m+RpOfqVOnYmpqysCBAwHtqMnExISYmBgiIiL4+uuvuXDhwgP7cq+8yo4899xzREZGEhwcTIcOHRgyRHuZu1OnTnTr1o0WLVrQv39/mjdvrh/1TZs2jdOnT3P48GHi4+OZMWPGfe2mp6cTFRVFzZraIulbtmzRB968DBgwgAMHDuTKbJ+RkcH8+fM5fvw4MTExeHl56a/b3b17l5s3b3LgwAFmzpxJv379HlidIDt12fjx44mPj8fX15dTp04B6INGUFCQPtVZtoMHD2JlZYWHh0ee7b722mucP3+eoKAgHBwcePfdd/X9HjlyJJ6enrzwwguEhYU98H3n9PHHH7N9+3aOHDmS7zU5QzJkwLoghJgkhHDWLR8Bhq9ToCiFMGnSJI4dO4aHhwdCCBbP/ZLaTpV59513sM+MJ2bHQubtWkKXco60qPECny/bS4hnC2SnTjB/PsTEFGt/x3euh6WZSa51OWdQFsaKFSu4ceMGR48eJSgoiCpVqujrQ+U8BWViYvLAulbZli1bxsaNG1mxYoU+0Pzyyy906dIFMzMzKleuTMuWLXlQ6jQnJ6dcI6KoqCj96bScKlSooO/byJEjOXr0v3ldEydOJCgoiO3btyOlpE6dOgA4ODgghMDc3Jxhw4Zx6NCh+9rdu3evvuQJaINtkyZNHvh+TU1Neffdd3MFv+yJDrVq1UIIQb9+/fSn15ycnOjduzdCCJo0aYJGo8k1IeNeNjY29O7dm++++46XX365QBMkVq5cme/oqkqVKpiYmKDRaBg5cqT+OMyaNYsqVapw4sQJjhw5op908jDx8fEkJyeTlJT0yDXUHpchA9ZwoBKwBlir+3mYAdtXFIPILjgJcPjwYX799VdmzvySsOAgTE1NadqkCSP7dMa9YV0W1WtOY5lFrURrxi/ayFnPptC8OcyYAWeKtjgmPPoMykeRmJhI5cqVMTMzIzAwkIsXLz5WO1u2bGHGjBn8+eefWOW4daB69er8/fff+us6Bw4cwNXVNc82fH19CQ8PJyIigvT0dFauXEmPHj3u2+7KlSv6n//88099eq/MzEzi4rSVjYKDgwkODtZXPs7eR0rJunXr8hyB5BxRhYaG4urqiomJyX3b5TR06FB27NjBjRs3AG0B07CwMP3j7du36/vXs2dP/v77b0B7ejA9PZ2KFSvm2e6+ffv0p+vS09MJCwujRo0a+fYlu3bXSy+99MBtch67tWvX6o9DYmIiDg4OaDQali9fTmZmZp77m5mZkZGRoX88atQoPvvsMwYOHKivFG1ra5tvyZZCK+jsDGNY1CxBpTAyMjLkzp075ZkzZ6SUUp48eVIKIaRDjVoSISQgTe2qyBreHeWnDbrJiHIOUrq6Svn++1L++6+UmZkFep1HmSVYFDIyMqS9vb28ceOGbNasmWzUqJEcMWKEdHV1lRERETIiIkK6u7vrt585c6Z+tlteatWqJZ2cnKS3t7f09vaWo0ePllJKmZSUJPv27Svr168v3dzc5JdffplvvzZt2iTr1Kkja9asKT///HP9+kmTJsn169dLKaUMCAiQ9evXl15eXtLPz0+eOnVKSillSkqKdHNzk25ubrJp06by+PHj+v3btWsnPTw8pLu7uxw4cKBMSkq677UbN24s7+hmjM6cOVMuWbIkzz7eO0tx9uzZEtDPfpw/f750dXWVnp6esnv37jI2NlZKKWVaWpocOHCgdHd3lw0aNJA7d+584HFYtmyZ9PT0lB4eHrJ+/fpy/PjxMisrS0r54Jl6gYGBsmnTpvetHzFihDx8+LCUUsqXX35Zenh4SE9PT/ncc8/JmJgYKaWUZ8+elZ6enrJp06YyICAg12t4e3vrf54wYYJ0dXWVAwYMkMuWLZO9evWSUmpneDZp0kTu3LlTpqeny/bt20svLy/5zTff3Nefws4SNGS29sbAh2izq+tvSJZSehnkBQpAZWtXDCkqKoqFCxfy2muvIYQgYOIkVv76C+np6TgMn4eZfVWqnttH/ZBAxl49j7ulBp57Dnr0AH//B96oXNLZ2k+cOJHrlNDTLioqipEjR7J582YAOnbsyE8//aQKNBaBwmZrN+T9V2eAHoALUCN7MVT7BVnUCEspStu2bZM9evSQ8fHxMurmHTlg3CfSqmJVCUg0prJidXfZt1Yjuce2kpSWllL26CHlokVSXrmSq52SHGHNnz9furm5ya1bt5ZYH5SnV2kaYf0jpWz18C2LjhphKcXpiy++IDAwkNFjJ7Do59Xs2ria9OQETMs70mHEV3QN3U29/evwT7iGqa+vdvTVvTunLCyMsh7WG2+8wb59+3KtGzNmDMOGFfxSdVxcXJ7TxXfu3EmFChUK3UdjsnXrVv21n2wuLi73zf57khR2hGXIgOUP9EeblSJnxeE1D9zJwFTAUkpSp06dyNKY0vDZwZw3rc7OlQu4tX81JiYmuFeuRr/EeEYkXid+61Zc69RBlC8PtrbwkIv7ivIkkFJy+vTp0lHAEe2MQFfADG3lYNCmXCq2gKUoJWnbtm1kZGRgZmbG7du3cXh/Pb6t/YlNE5wM2seJ2zeZCPxy7Sa2FRJxiItDIwTC1hbs7LSLhcVDX0dRjI2Ukri4OCwK+fk2ZMDyllJ6GrA95Smy7ng0M7eeISYhBcdylozvXM8gU7eLm5mZGQDW1tbExt4gNTWVsmXLsuvfQ7Rr2RQXX3++OBDH2+WSqW6dCRmplImLxzorEyvAxNQULC21i4UF5HHzrKHcSb/LrZS7ZGZJTDSCspamWJUpVSXynkhP63G3sLDQZ6B5XIY8SgeEEPWllAW7TVpRdNYdj85VXiQ6IYUP1oQAGEXQelCwLVOmDGXKaIsh+rVoQnR0NGXLlkWYWfDJrO8Z9cGb2NZtyu3oM2Td1mY4r2ZXkbUIGiXe0AYsPz/o2hW6dIE6dQwWwNYdj2b86hNkZP13ScBMI5j5grdRHHNjde9nHbQ3ghvq3ronnSGvYZ0CaqHNbpEGCEBKNa1deYiW0/8mOo/ceFXLWbIvoH0J9KjgHvcPUFZWFsePH8fDy5tDEfGMefM1ju9Yi0UNHyr3nYzznUjSdv+C6eVwet+6SSfA3dkZ0aWLNni1b6+9/vWYfD7ZRkJKxn3ry1maETS502O3q+TPmD/rRaWkrmF1MWBbylOkKBO8FrX8sqnnF7A0Gg2NGjUCoHXdyuxd+xNBQUHY1/Rk56lrTHtvNlfOncTEujz70GY9sLtylUGLlzB3wQIwNYUWLaBTJ+3SsOEjTd7IK1jlt14xDGP+rJcGBgtYUsrHyusihFgMdAeuSyk9dOumACOBG7rNPpRSPlq1McVoOJazzPNbpyESvBY1Q/0Bsra2pmXLlgC4OZSl35aVHA89S6JNDdb/E8xvk4eSlHmX5W4tSe7/JuX2r2H/9tU02bOHDh99RNty5bDr2BGyF2fnwr41pQgY82e9NCgNV/qWAv8Dfrpn/Swp5VfF3x2luI3vXI/xv58gIzPH9RQTYZAEr0WtqP4AVa5cmc66mkn9fKsxucdB9oVe4pKoxM7QGPau/wkTS1sOm5kzNyMNkZCA57p1TF69mt4AtWtrA1eHDtCuHejqhWUrb2XGzTv3j6bKW5kVqt/FxVgn6YzvXC/PU8jG8FkvDUo8YEkp9wghnEu6H0oJu/dSqmEurRa54voDVLdWTerW0pa++Lh7fQLbHeTwxUROxAsCt/3F1bXTOWVdgbm9RhJbzZETK+dy5Pvv6TJ/Pu2EoFnDhlhkB7AWLZj8nHueXxImP/fQmqslzpgn6WT3zxiDbWlgsEkXheqENmBtvOeU4FDgFnAEeFdKefMB+44CRgFUr1690eNmnFZKjrFfiC7pb/u30zJYs+sYwdfTOXT1LmeOHeDayg+xrOhESlw0SImpEDSVkqVAbXNzaNGCMDdfvs1yItCmOpUr2BrNH05j/7wouZXUpAtDmg98hvZ79mfA12jLl9xHSrkQbbVjGjduXPLRV3lkxn4humeDqiX6h97a3IxBnZvqH0fGNmFtvzYExUoOnL3ClV0/k3TkT0IcXPj93WnYH9zCr5t/JzMwkHbA9xYWNGvTBiuTDpDZDho0KNXZN4z986I8vlIZsKSU17J/FkIsAjaWYHeUIqYuRBuWc0VrxvXSTuBIu5vJsYvt2XLkLEeuZbAgJonEGxoSUzOoUL0u/1w+x6epqWi2baPdtm1sB4SdHXdbtcK0fXvtfWDe3qUqgKnPy9OrVAYsIYSDlDK72lgv4GRJ9kcpWupCdNExNzWhea0KNK/VHIC45DT+Pd+A3adeZ39kIpevxRK39TvuxoQR79uW9b36sWHeZ2zYsgXHTZtoDbSwtKRtq1Y4du4MbduCj492Wn0JUZ+Xp1eJX8MSQvwK+AEVgWvAZN1jH7SnBCOB0TkC2AOpG4eNV0lfByoMY+27lJLIuDv8cy6WfeGx7L8QR2JKBjf3LEdcCcXe2oKY8BDS0rW5rEcB3wOR1tbcadAA165d0fj5QePGoMvoUVyM9ZiDcfe9KJRItvbSQAUspbg9Sal2MrMkYTG32Hc+ln/Px3E4Ip47qWnE71iIrSaN9v5dGezsRJ+xg0jOyKAc0ByooNHQ082NLt27Y+3vD82bg41NSb+dUulJ+rwYigpYilJMnuQZa+l3szgRlcC/5+I4cCGOo5dukpaWTnLIdirIJOwyk7gaepCoqzEALBGCvlLyCfCMkxO9OnbE5dlnEa1aQZUqBu2bsY5SjP3zUhTH/UmYJagoRuFJnrFWxlSDr7M9vs72jKEOqRmZHL+UwMEINw5ciOPYpQQ0DYZQ5XIIlU1TOdm2LQnRoXz1yTiIiuK9JUuosGQJ5sCL5coxsUsX7Nu3R7RuDfXqPXYiX2O+D8uYPy+l4birgKUohfA0zVizMMuewKGtDJyakcmJywkcjKjPwYg4Nl68SWpGHZze/oUqMoGKKVFcPbiV0NDjzEpI4MOtW/lj5UpeB/zNzOjg5ka9Zs2o26ULlTt3BiurAvXjcfM3lgbG/HkpDcddBSxFKYSnecaahZkJTWtWoGnNCkAd0u9mcTImkUMR8Ry8EMeRizVJ6taCqt2gUpkMPnGtjs2FA5SdN5Ut8bGsDA6G4GBYuJAOwLZGjThUsyaRzzxD3zFjMKlZM89RmDGPUoz581IajrsKWIpSCCrVzn/KmGpoWL08DauX59W2tcjMkpy5msThyHgOR8ZzKDKea8k1YMhCqpbR0MYimbthu4g5ugfHMiYIGxvmr1nDL5mZjJ07F19zc7LKlcPOwYHZn3xCRX9/pJWVUY9SjPnzUhqOu5p0oShKsZBSEnUzhSMX4zkSeZOjF29y5loSUoJGaLPUe1Q049Kfi0i/EEbYmTBO37oFQA9gvYkJz9vYECFMcHdtT3TtZpw3K4PGtiI2Zcs/1TPtikNRzXBUswQVRTEKiSkZBF1O4GhkPEcu3uTE5QRup2v/IFa0Mce9kinl48LxSEtgwN0kpv2ynM8jI/X7mwIVTM34vH1XXnl9OF8dPUqjdu1o165dybyhJ1xJzxJUAUvpJvZeAAAgAElEQVRRlFLjbmYWZ64lcexSAscv3uT45QQiYm8DYKIRuD5jS107ic3FIFKP/8OBA3s5HxvLJ5mZDJOSskAZIfB3cMCnfn2Whoby9ttvMyYgACkl586do2bNmpiUolRTTzsVsBRFeWLE307n+KWbBF1O4PilBE5cTiAp7S4AthameDuVw6uKFd7pcZjt28y81b8Qcu0a4Rn/1fv6y9ERryZNcFq3juHPPssHX3yBvZMT33//PS+88AK1a9cuqbf31FMBS1GUJ1ZWluRCbDLHLyUQdDmBE1EJnL6SxN0s7d+yKmXN8XYqR12LNMxD/+X2kT0Mz7qL+YkTvHrlCit17VgKQYqUPOfuztKZM4mwteWVt97ihx9+oFGjRiQkJHDt2jVq1aqFaQnmTnzSqYClKMpTJTUjk9CYWwRdTiA4KoHgqET9qUSAGhWs8HIqh5tFOpYn93P7UCBnTgZzNDqa0xkZxAAhQtDP1BQTc3Ma1a4N5crx265dbN++HX9/fw4ePMjGjRt57733KFeuHFJKxGPe/Kz8RwUsRSlGxpom6EmXcCedk9G3CI5OIPhyIiHRibmmZdesaI1HVTs8bCQeCdG4nwvizz/X8Mfp05xITSVSt10ljYZrffrwXVoab2/YwLeff45v+/bs2LGDBQsWcPbsWaysrAgKCuL69et07NhRBbJHoAKWohQTlczUuMQlpxESnUhIlDaAnYxOJCYxVf98jQpWeDjaUd9W4HztHFkHdpAZFkzPa9cgIgJftCXQs5UtU4YRHTvyzezZvPrll6xctYobN25gZmbGl19+yenTp1m8eDEAly5dwtramgoVKhTvmy7lVMBSlGJi7MlMFYhNTiM05hYndQEsNOYWl+Lv6J+vUtYcd0c73MuXwTX5KnYh+4k9sIvQU6cIvnGD2lIyFbhuZUXttDRSpaTeM88gzc2R5ub8sHgxzZs3p3v37ly+fJkTJ04A8O2332Jpacno0aMBSElJwdKy9N/8bGhGFbCEEIuB7sB1KaWHbp09sApwRlsPq5+U8ubD2lIBSyluLgGbyOs3SAAR058t7u4oBpJ4J4PQK4mExdwiNOYWYTG3OHcjmUzdxA5bc1NcHWxxq2SNW2YibjciqR12mD93bCMkMpLQ9HROAhHA+/b2TPf3Z7OFBW9s20azpk1x9/Xlt9WrqVy5Mps3b8bU1BQfHx9cXV1ZuVI7LWTBggXUrVuX9u2f7C8+xhaw2gDJwE85AtaXQLyUcroQIgAoL6V8/2FtqYCl/J+9ew+PqjoXP/59c4FwlXIVEiFc5FKSEDDgBfFSFfCCRbyLpwIKRbF6rIJYPWLbU4HD6bFVfko9Hou2iJSjILUCRcHKwaIECAjhJgRrAoUACgQCJOH9/TE74wCTZJLJzOyZeT/PMw8za6+95509E9691157rXCzM6z4caKsgu37jnqT2Ja9R9j6z6OUOF3sEwTSWzeh1/nN+H5KBT0P7+GC7eto9cVaWm3dStGuXYwFNgP/8NnuS3fcwcM/+Qn/vngxG7Zv5/bbb6dXr15cccUV3Hvvvbz00ksApKen88ADD/DMM88A8Prrr3PJJZfw/e9/P7w7op5FVcICEJF04H2fhLUNuEpV94pIe+BjVa1xdEhLWCbc7BpWfDt9Wvn6m+Ns2XuELXuPev795xG+PvTdQUyzlCR6nt+MHi1T6FF+mJ7Fu2m/6XP2rPk7W7Zv57LSUi4ElgLXg/eMPUGE9A4dmDNnDjkDBzJu3Di6d+/Oj3/8YxITEznvvPOYPn06kyZNoqSkhMzMTP793/+dkSNHcuLECRYsWMCgQYNIS0uLwJ4JXCzMh9VOVfcCOEmrbVUVRWQcntm76dixY5jCM8YjmgczNcFLSBA6tWpCp1ZNGJrR3lt+9ESZ52xs71G2/fMI2/55lPc2Fzs3PLeFVjfR4c7b6N6uGXsaK92PH6D7nh0c2LyGr9auYeuuXWypqGBLURFtr76apAsvpF+jRvzk97/nqaeeom3Lllzcvz+bN2+muLgYVWXAgAG0adMGgF27dnHPPffw1ltvcffdd7N9+3ZuueUWXnrpJX7wgx9w4MABPv74Y6666ipat24dob1Xe25NWAFT1VeBV8FzhhXhcEwcGt431RKUOUOzlGQu6tSSizq19JapKnsOn2D7P4+y9Z9OIttXwqc7S/AMn3ghkn4hHfs9wIVtmtA9uYyRR/dRWridE1vXcdv6tXQSYZsqWw8dYuuhQ3ywbh3/78gRmmZl0fnECYbddBNdu3blwu7dGTNmDAcOHKCiooLTp0/To0cPWrb0xLN27Vpuv/12Vq5cyeWXX86KFSt4+OGHmTdvHhkZGRQUFPDZZ59xww030Lx584jsQ3/cmrD2iUh7nybB/ZEOyBhjgiEipLZoRGqLRlzd87tGo/KK0+w+eJwd+46ybd9Rtu87yvZ9Jaw4cIyK0w2BTBIuzKTjxQ/SrXVjLkw4wfVH9/FI0Zd03bqOJps3wqJFDD59GoBtW7eybdculpSX826DBjzcogU9v/99zm/VirFjx9K9e3fS09N5/vnnSUhIACAlJYXu3bt7E9pHH33E2LFjKSgooHnz5rz55ps899xzfPrpp5x//vlh33eV3JqwFgH3AdOcf9+LbDjGGDeJpZu1kxIT6Na2Kd3aNuX6zO+aFU+Vn6bgwDG27zvKl/tL+HJ/Cdv3HeVvB49RVtEE6AM9+pB6cSO6tmpEt8STZB0/wC17d9Ftex7nfbGOfV9+ifzoRwB0AXakpLBq0ybmnjiBApldurDx00+59JJLSE1N5amnnqJbt2507NiRt99+m2bNmgHQvn17LrnkkojfQxbxThciMhe4CmgN7AOmAAuBPwEd8XSouV1VD9W0Let0YUzsi/eOLmUVp/nq4HG+3P9dIvuyuISd+4+dsU9aNE6ma6vGdG1YQZeT39L1wD/oUpBPx025VORvZmdpKSXAxQDnncediYl8euIEhce/uwft+iFD+GDJEgAeffRR/lmawGZN41irnja9SLAsYRkT++xWAv9On1b2HC5lZ/Exvtxfwq7iEnYWl/Dl/mMcKDnprZeUIHRs2ZguTRPoXFFClyP76Lx3F1225dFm83pOFBWxE/gSaCbCNZ07U9G9O13+bxVfl5TQvfulNLj+EY6kNA37BI5ubRI0xhi/9vhJVtWVx4uEBCHte41J+15jruze5oxlh0vLnAR2jF3FJRQcOMau4mN8clA4Vd4WGreFvpfQ9JIkOn8vhc7J5aSf/JbOh4pY/4/tdNmylq0ny0hEObH9Uyb3uoIPel5OaVkFM5ZuC9uZrSUsY0xU6dCikd8zrA4t4m9Yo0Cd1yiZvh2/R9+O3zujvOK0sufbUieBlbD74HF2HTjGuuIS/vxtCqpdoUNX6HA9/EBJPl3OeaVHOZXUwLuNcB4oWMIyxkSViUN6+L2GNXFIjWMLmLMkJggXtGzMBS0bc8VZZ2Unyyv4+tBxCg4cZ/eBY7zw4XaOnxIONG15Rr1wHihYwjLGRBW7WTs8GiYl0q1tM7q19fQUbNOsYcQPFCxhGWOijt2sHX5uOFCwhGWMMSYgkT5QSIjYOxtjjDG1YAnLGGNMVLCEZYwxJipYwjLGGBMVYmpoJhEpBr6qp821Bg7U07bCzWKPjGiNPVrjBos9Uuoz9k6q2qbmajGWsOqTiOQGOr6V21jskRGtsUdr3GCxR0qkYrcmQWOMMVHBEpYxxpioYAmraq9GOoAgWOyREa2xR2vcYLFHSkRit2tYxhhjooKdYRljjIkKlrCMMcZEhbhMWCIyVES2iciXIjLZz/KGIjLPWf6ZiKT7LHvKKd8mIkPCGbfz/nWKXURaicgKESkRkZlRFPd1IrJWRL5w/g37HOhBxD5ARPKcxwYRuSVaYvdZ3tH5zTwRrph93ruu+z1dREp99v2saIjbWZYlIn8Xkc3Obz4lGmIXkZE++ztPRE6LSHa9B6iqcfUAEoGdQBegAbAB+P5ZdR4CZjnP7wLmOc+/79RvCHR2tpMYJbE3AS4HxgMzo2if9wU6OM8zgKIoir0xkOQ8bw/sr3zt9th9lr8DzAeeiKL9ng5sCme89RR3ErAR6OO8bhUt/7+cVScT2BWKGOPxDGsA8KWq7lLVU8DbwA/PqvND4A3n+f8C14iIOOVvq+pJVS0AvnS2Fy51jl1Vj6nq/wEnwheuVzBxr1fVPU75ZiBFRBqGJWqPYGI/rqrlTnkKEO4eTsH81hGR4cAuPPs93IKKPYKCiXswsFFVNwCo6kFVrSB86muf3w3MDUWA8ZiwUoGvfV4XOmV+6zj/4RzGc7QTyLqhFEzskVRfcd8KrFfVkyGK05+gYheRi0VkM/AFMN4ngYVDnWMXkSbAk8DPwxCnP8H+ZjqLyHoR+ZuIDAp1sP5ictQm7u6AishSEVknIpPCEK/fuBx1/Tu9kxAlrHicwNHfEdjZR75V1Qlk3VAKJvZICjpuEekNTMdzFBpOQcWuqp8BvUWkF/CGiCxW1XCd5QYT+8+BF1S1JEInLcHEvhfoqKoHReQiYKGI9FbVI/UdpB/BxJ2Ep9m+P3Ac+EhE1qrqR/UbYpXq4+/0YuC4qm6qz8AqxeMZViFwgc/rNGBPVXVEJAk4DzgU4LqhFEzskRRU3CKSBiwAfqSqO0MebRVxOeq0z1V1C3AMz3W4cAkm9ouB/xCR3cC/Aj8TkYdDHbC/uBwBx+402R8EUNW1eK7LdA95xGfF5Kjt/y9/U9UDqnoc+ADoF/KI/cTlqMtv/S5CdHYFxGWniyQ87fKd+e7CYu+z6kzgzAuLf3Ke9+bMThe7CO9F0TrH7rN8FOHvdBHMPm/h1L81Cn8vnfmu00UnPH/8raMh9rPqPEf4O10Es9/bVP5d4ulAUAS0jIK4vwesw+msA3wI3BgN+9x5nYAnoXUJWYzh/BG65QHcAGzHc+T1tFP2C+Bm53kKnp5RXwKf+34BwNPOetuA66Ms9t14joZKnB/W990eN/AMnjOTPJ9H22jY58C/4OmwkOf8RzQ8mn4vPtt4jjAnrCD3+63Oft/g7Pdh0RC3s+xeJ/ZNwH9Eyz53ll0FrA5lfDY0kzHGmKgQj9ewjDHGRCFLWMYYY6KCJSxjjDFRwRKWMcaYqGAJyxhjTFSwhGVMkESkhYg85PO6g4j8b4jea7iIPFuP2/vPSIyAb0xdWLd2Y4LkTLHwvqqGfBQLEfkUzz0xB+ppe52A/1bVcA95ZUyt2RmWMcGbBnR15gGa4czHtAlAREaJyEIR+bOIFIjIwyLyU2dg1tUi0tKp11VElohnzq+VItLz7DcRke7AycpkJSK3i8gm8cy19YlTlujEsEZENorIj33Wn+TMsbRBRKYBqOpXeAa7PT/ke8mYIMXj4LfG1LfJQIaqZoP3jMtXBp55vVLwjBDwpKr2FZEXgB8BvwFexTOa+w5nANGXgbOb6gbiGbmh0rPAEFUtEpEWTtn9wGFV7e9Mw7JKRP4K9ASGAxer6vHKROlY52z7nTrvAWPCwBKWMaG3QlWPAkdF5DDwZ6f8CyBLRJoClwHzfUZG9zfnV3ug2Of1KmC2iPwJeNcpG+xs8zbn9XnAhcC1wO/VM6gqquo7YOl+oEMQn8+YsLCEZUzo+c7fddrn9Wk8f4MJwLeVZ2jVKMWTgABQ1fHO2diNQJ4zJbkAP1HVpb4rishQqp5mJsXZtjGuZtewjAneUaBZXVdWzzxNBSJyO4B49PFTdQvQrfKFiHRV1c9U9VngAJ5pH5YCD4pIslOnuzMZ41+BMSLS2Cn3bRLsjmewVWNczRKWMUFSz9xLq5wOEDPquJmRwP0isgHPaN1nT00O8AnQ12dK8hlOJ4pNzrINwGtAPrDOKf8dnilOlgCLgFwRyQOeAHASWzcgt45xGxM21q3dmCgiIr8F/qyqH9bT9m4B+qnqv9XH9owJJTvDMia6PI9ngr/6kgT8uh63Z0zI2BmWMcaYqGBnWMYYY6KCJSxjjDFRwRKWMcaYqGAJyxhjTFSwhGWMMSYqWMIyxhgTFSxhGWOMiQqWsIwxxkQFS1jGGGOigiUsY4wxUcESljHGmKgQkYQlIq+LyH5n+gN/y88TkT+LyAYR2Swio8MdozHGGHeJ1BnWbGBoNcsnAPmq2ge4Cvi1iDQIQ1zGGGNcKikSb6qqn4hIenVVgGbORHVNgUNAeU3bbd26taanV7dZY4wxbrJ27doDqtomkLoRSVgBmIlndtQ9eKYev1NVT/urKCLjgHEAHTt2JDfXJk41xphoISJfBVrXrZ0uhgB5QAcgG5gpIs39VVTVV1U1R1Vz2rQJKEkbY4yJQm5NWKOBd9XjS6AA6BnhmIwxxkSQWxPWP4BrAESkHdAD2BXRiIwxxkRURK5hichcPL3/WotIITAFSAZQ1VnAL4HZIvIFIMCTqnogErEaY4xxh0j1Ery7huV7gMFhCscYY0wUcGuToDHGGHMGS1jGGGOigiUsY4wxUcESljHGmKjg1pEujDH1bOH6ImYs3caeb0vp0KIRE4f0YHjf1EiHZUzALGEZEwcWri/iqXe/oLSsAoCib0t56t0vACxpmahhCcvUyI7Mo9+Mpdu8yapSaVkFM5Zus+/SRA1LWKZadmQeG/Z8W1qrcmPcyDpdmGpVd2RuokeHFo1qVW6MG1nCMtWyI/PYMHFIDxolJ55R1ig5kYlDekQoImNqzxKWqZYdmceG4X1TmToik9QWjRAgtUUjpo7ItGZdE1XsGpap1sQhPc64hgV2ZB6thvdNtQRlopolLFOtyv/grJegMSbSLGGZGtmRuTHGDSxhGVPP7L41Y0LDEpYx9cjuWzMmdKyXoDH1yO5bMyZ0LGEZU4/svjVjQscSljH1yO5bMyZ0LGEZU49sRAljQsc6XRhTj+y+NWNCxxKWMfXM7lszJjSsSdAYY0xUiEjCEpHXRWS/iGyqYvlEEclzHptEpEJEWoY7TmOMMe4RqTOs2cDQqhaq6gxVzVbVbOAp4G+qeihcwRljjHGfiCQsVf0ECDQB3Q3MDWE4xhhjooCrr2GJSGM8Z2LvVFNnnIjkikhucXFx+IIzxhgTVm7vJTgMWFVdc6Cqvgq8CpCTk6PhCiwUbNBUY4ypmtsT1l3ESXOgDZpqjAlEPB/YurZJUETOA64E3ot0LOFgg6YaY2pSeWBb9G0pyncHtgvXF0U6tLCIVLf2ucDfgR4iUigi94vIeBEZ71PtFuCvqnosEjGGmw2aaoypSbwf2EakSVBV7w6gzmw83d/jQocWjSjyk5xs0FRjTKV4P7B1bZNgvLFBU40xNYn32QAsYbnE8L6pTB2RSWqLRgiQ2qIRU0dkxs3FVGNMzeL9wNbtvQTjig2aaoypTrzPBmAJy0SteO7eG0vse6ydeD6wtYRlopLdtxYb7Hs0tWHXsExUivfuvbHCvkdTG5awTFSK9+69scK+R1Mb1iToItaWHzi7by022PdoaiOoMywR6SIifxaRA86EjO+JSJf6Ci6euHnIlYXrixg4bTmdJ/+FgdOWuyImN3fvdeP+cis3f4/GfYJtEnwL+BNwPtABmE+cDFZb39zalu/WROrW+9bcur/cyq3fo3EnUa37jBwi8pmqXnxW2WpVvSToyOogJydHc3NzI/HWQes8+S/4+yYEKJh2Y7jD8Ro4bbnfJpvUFo1YNfkHEYjI3Wx/GVM7IrJWVXMCqRvsGdYKEZksIuki0klEJgF/EZGWItIyyG3HFbcOuWIXxWvH9pcxoRNswroT+DGwAvgYeBAYA6wFovNUJ0Lc2pbv1kTqVra/jAmdoBKWqnau5mGdL2rBrW35V/dsU6vyeOfWAw9jYkFQ3dpFJBG4EUj33Zaq/ldwYcUnNw65smJrca3K4128j/VmTCgFex/Wn4ETwBfA6eDDMW5j12Rqz40HHqb27L5I9wk2YaWpala9RGJcyW7sNPHIxjh0p2A7XSwWkcH1EolxJbsmY+KRW++LjHfBnmGtBhaISAJQhue2IVXV5kFHZlzBrsmYeGRN4e4UbML6NXAp8IUGcweycTW7JmPijTWFu1OwTYI7gE2WrIwxscSawt0p2DOsvcDHIrIYOFlZaN3ajTHRzJrC3SnYhFXgPBo4D2OMiQnWFO4+QSUsVf05gIg0UdVjga4nIq8DNwH7VTWjijpXAb8BkoEDqnplMLEaY4yJbsHOh3WpiOQDW5zXfUTk5QBWnQ0MrWa7LYCXgZtVtTdwezBxGmOMiX7BNgn+BhgCLAJQ1Q0ickVNK6nqJyKSXk2Ve4B3VfUfTv39QcZpTNyzkRtMtAu2lyCq+vVZRRV+K9ZOd+B7IvKxiKwVkR9VVVFExolIrojkFhfb+HbG+GMTS5pYEGzC+lpELgNURBqIyBM4zYNBSgIuwjOw7hDg30Sku7+Kqvqqquaoak6bNjaCuDH+2MgNJhYE2yQ4HvgtkAoUAn8FHgo2KGdbB5yOHMdE5BOgD7C9HrZtTEi5senNRm4wsSDYhNVDVUf6FojIQGBVkNt9D5gpIkl4ustfDLwQ5DZNjHFjYnDroKk2coOJBcE2Cb4UYNkZRGQu8Hegh4gUisj9IjJeRMYDqOoWYAmwEfgceE1VNwUZq4khbr0m49amNzeP3LBwfREDpy2n8+S/MHDa8oh/h8a96nSGJSKXApcBbUTkpz6LmgOJ/tf6jqreHUCdGcCMusRnYl91iSGSZzJubXpz68gNbj0jNe5U1ybBBkBTZ/1mPuVHgNuCDcqYmrg1Mbi56c2NIze49cDDuFOdEpaq/g34m4jMVtWv6jkmY2rk1sQwcUiPM84YwD1Nb27k1gMP405BXcOyZGUixa3XZIb3TWXqiExSWzRCgNQWjZg6ItPOFqpQ1QFGpA88jDsF20vQmIhw6zUZcGfTm1u5+YzUjb1Q450lLBO1LDFEP7ceeFhnEHcKKmGJSApwP9AbSKksV9UxQcZljIkTbjzwsM4g7hTsfVh/AM7HM3zS34A04GiwQRljTCS5uTNIPN+3FmzC6qaq/wYcU9U38Iz9lxl8WMYYEzlu7Qzi1hvmwyXYhFXm/PutiGQA5wHpQW7TGGMiyq29UN06kkq4BNvp4lUR+R7wb3jmxGoKPBt0VMYYE0Fu7Qzi5qbKcAgqYanqa87TvwFdgg/HGGPcwY2dQdx6w3y4BNtLsCFwK55mQO+2VPUXwYVljDHmbG6+by0cgm0SfA84DKwFTgYfjjHGmKq4takyXIJNWGmqOrReIjHGGFMjNzZVhkuwvQQ/FRHrxm6MMSbkgj3DuhwYJSIFeJoEBVBVzQo6MmOMMcZHsAnr+nqJwhhjjKlBsN3abXqRemSjQxtjTNVstHaXsNGhjTGmesF2ujD1JN6HXDHGmJpYwnKJeB9yxRhjamIJyyXcOjq0Mca4hSUsl3Dr6NDGGOMWEel0ISKvAzcB+1U1w8/yq/AM+1TgFL0b6+MTunnIFeu9GBvsezTRLlK9BGcDM4E3q6mzUlVvCk847uDGIVes92JssO/RxIKINAmq6ifAoUi8t6kd670YG+x7NLHAzdewLhWRDSKyWER6V1VJRMaJSK6I5BYXF4czvrhgvRdjg32PJha4NWGtAzqpah/gJWBhVRVV9VVVzVHVnDZt2oQtwHhhvRdjg32PJha4MmGp6hFVLXGefwAki0jrCIcVl6z3Ymyw79HEAlcOzSQi5wP7VFVFZACexHowwmHFJTf3XjSBs+/RxAJR1fC/qchc4CqgNbAPmAIkA6jqLBF5GHgQKAdKgZ+q6qc1bTcnJ0dzc3NDFbYxxph6JiJrVTUnkLoROcNS1btrWD4TT7d3Y0yMs/vDTKBc2SRojIkPdn+YqQ1LWCZq2ZF59Kvu/jD7Ls3ZLGGZqGRH5rHB7g8zteHKbu3G1MRGbogNdn+YqQ1LWCYq2ZF5bLD7w0xtWJOgiUodWjSiyE9yioYj87KyMgoLCzlx4kSkQ4m4Hinwx9tSOVJaTsVpJTFBaN4oicYNjrBly5FIh2fqUUpKCmlpaSQnJ9d5G5awTFSaOKTHGdewIHqOzAsLC2nWrBnp6emISKTDMSbkVJWDBw9SWFhI586d67wdaxI0UWl431SmjsgktUUjBEht0YipIzKjosPFiRMnaNWqlSUrEzdEhFatWgXdqmBnWCZquXH+sEBZsjLxpj5+83aGZYwxJipYwjImDjVt2rTetjVx4kR69uxJVlYWt9xyC99++y3g6Vxy3333kZmZSa9evZg6dWq121myZAk9evSgW7duTJs2zW+d2bNn06ZNG7Kzs8nOzua1117zLnvyySfJyMggIyODefPmectHjRpF586dvevk5eVVGcNFF13EqVOnAJg6dSpz5sw55/0TEhLYuHGjtywjI4Pdu3cDMHfuXDIzM8nKymLo0KEcOHDAW++ll16iR48e9O7dm0mTJlUZw/Hjxxk5ciSZmZlkZGRw+eWXU1JSAkBiYqL3c2RnZ7N7927mzJlzRllCQoLfz/jcc8+RmprqrffBBx9UGYM/zz//fI11du/ezVtvvVWr7daKqsbM46KLLtJotmBdoV429SNNf/J9vWzqR7pgXWGkQzIhkJ+fX6v6ofhdNGnSJOhtVFq6dKmWlZWpquqkSZN00qRJqqo6Z84cvfPOO1VV9dixY9qpUyctKCjwu43y8nLt0qWL7ty5U0+ePKlZWVm6efPmc+r9/ve/1wkTJpxT/v777+u1116rZWVlWlJSohdddJEePnxYVVXvu+8+nT9/fo2fo6CgQIcNG+Z9fdVVV+n+/fvPef8LLrhA77jjDm9Z7969taCgQMvKyrRNmzZaXFysqqoTJ07UKVOmqKrq8uXL9ZprrtETJ06oquq+ffuqjOP555/Xxx57zPt669at3vVq+t42btyonTt39rtsypQpOmPGjGrXr04gv5kVK1bojTfeWOVyf799IFcD/D/ezrBconLkhpeKmGEAACAASURBVKJvS1G+G7lh4fqiSIdmIiiUv4uSkhKuueYa+vXrR2ZmJu+99x7gOUru1asXY8eOpXfv3gwePJjS0qrvbxs8eDBJSZ7L4ZdccgmFhYWA55rFsWPHKC8vp7S0lAYNGtC8eXO/2/j888/p1q0bXbp0oUGDBtx1113eeAKRn5/PlVdeSVJSEk2aNKFPnz4sWbIk4PUBFi9ezNChQwE4cuQIp06dwt+ksDfddBObN29m27Yzb1Kv/E/12LFjqCpHjhyhQ4cOALzyyitMnjyZhg0bAtC2bdsq49i7dy+pqd9dm+3Ro4d3vZrMnTuXu++udmzxc+zevZtBgwbRr18/+vXrx6efnjsxxuTJkyktLSU7O5uRI0eyZs0asrKyOHHiBMeOHaN3795s2rSJyZMns3LlSrKzs3nhhRdqFUcgLGG5hI3cYPwJ5e8iJSWFBQsWsG7dOlasWMHjjz+OOtMN7dixgwkTJrB582ZatGjBO++8E9A2X3/9da6//noAbrvtNpo0aUL79u3p2LEjTzzxBC1btvS7XlFRERdccIH3dVpaGkVF/pPyO++8Q1ZWFrfddhtff/01AH369GHx4sUcP36cAwcOsGLFCu8ygKeffpqsrCwee+wxTp486Xe7S5Ys8SasDz/8kGuuucZvvYSEBCZNmnROE1lycjKvvPIKmZmZdOjQgfz8fO6//34Atm/fzsqVK7n44ou58sorWbNmjd9tA4wZM4bp06dz6aWX8swzz7Bjxw7vssqkkZ2dzS233HLOuvPmzas2Yc2cOZOsrCzGjBnDN998A3iS57Jly1i3bh3z5s3jkUceOWe9adOm0ahRI/Ly8pgzZw79+/fn5ptv5plnnmHSpEnce++9ZGRkMG3aNAYNGkReXh6PPfZYlXHUlSUsl7CRG4w/ofxdqCo/+9nPyMrK4tprr6WoqIh9+/YBeK/5gOe6TuU1mur86le/IikpiZEjRwKes6bExET27NlDQUEBv/71r9m1a1eVsZzNX6+yYcOGsXv3bjZu3Mi1117LfffdB3jO8m644QYuu+wy7r77bi699FLvWd/UqVPZunUra9as4dChQ0yfPv2c7Z46dYrCwkK6dOkCeJJXZeL155577mH16tUUFBR4y8rKynjllVdYv349e/bsISsry3vdrry8nG+++YbVq1czY8YM7rjjDr+fGSA7O5tdu3YxceJEDh06RP/+/dmyZQuAN2nk5eWxYMGCM9b77LPPaNy4MRkZGX63++CDD7Jz507y8vJo3749jz/+uDfusWPHkpmZye23305+fn6Vn9vXs88+y7Jly8jNza32mlx9soTlEjammvEnlL+LOXPmUFxczNq1a8nLy6Ndu3be+2R8m6ASExMpLy+vdltvvPEG77//PnPmzPEmmrfeeouhQ4eSnJxM27ZtGThwIFVNsJqWlnbGGVFhYaG3Oc1Xq1atvLGNHTuWtWvXepc9/fTT5OXlsWzZMlSVCy+8EID27dsjIjRs2JDRo0fz+eefn7PdlStXcvnll3tff/755wwYMKDKz5uUlMTjjz9+RvKr7OjQtWtXRIQ77rjD27yWlpbGiBEjEBEGDBhAQkLCGR0yzta0aVNGjBjByy+/zL333htQB4m333672rOrdu3akZiYSEJCAmPHjvXuhxdeeIF27dqxYcMGcnNzvZ1OanLo0CFKSko4evRo2EZtsYTlEjammvEnlL+Lw4cP07ZtW5KTk1mxYgVfffVVnbazZMkSpk+fzqJFi2jcuLG3vGPHjixfvtx7XWf16tX07NnT7zb69+/Pjh07KCgo4NSpU7z99tvcfPPN59Tbu3ev9/miRYvo1asXABUVFRw8eBCAjRs3snHjRgYPHnzGOqrKwoUL/Z6B+J5Rbd68mZ49e5KYmHhOPV+jRo3iww8/pLi4GIDU1FTy8/O9r5ctW+aNb/jw4SxfvhzwNA+eOnWK1q1b+93uqlWrvM11p06dIj8/n06dOlUby+nTp5k/fz533XVXlXV8992CBQu8++Hw4cO0b9+ehIQE/vCHP1BRUeF3/eTkZMrKyryvx40bxy9/+UtGjhzJk08+CUCzZs04evRotbEGw24cdonKG2BtfifjKxS/i/Lycho2bMjIkSMZNmwYOTk5ZGdnV5lMavLwww9z8uRJrrvuOsDT8WLWrFlMmDCB0aNHk5GRgaoyevRosrKy/G4jKSmJmTNnMmTIECoqKhgzZgy9e/cGPE1POTk53Hzzzbz44ossWrSIpKQkWrZsyezZswFPs9agQYMAaN68OX/84x+9TYIjR46kuLgYVSU7O5tZs2ad8/4ff/wxv/jFL4AzO19Up0GDBjzyyCM8+uijAHTo0IEpU6ZwxRVXkJycTKdOnbzxjRkzhjFjxpCRkUGDBg144403qryRdufOnTz44IOoKqdPn+bGG2/k1ltvrTaWTz75hLS0NG+TZqUHHniA8ePHk5OTw6RJk8jLy0NESE9P53e/+x0ADz30ELfeeivz58/n6quvpkmTJt71fW8DGDduHFlZWfTr148hQ4aQlJTEPffcQ0VFBZdddhnLly9n0KBBJCUl0adPH0aNGlXv17GkqnbUaJSTk6NVNTkY4xZbtmzxHnlHwoYNG85oEop3hYWFjB07lsWLFwNw3XXX8eabb9K+ffsIRxZ7/P32RWStquYEsr6dYRkTR2bNmsWLL77Ib37zm0iH4hppaWneZAWepjzjTpawjIkj48ePZ/z48XVad8KECaxateqMskcffZTRo0cHvI2DBw/67S7+0Ucf0apVqzrFFa2WLl3qvfZTqXPnzuf0/jPfsSZBY8Is0k2CxkRKsE2C1kvQmAiIpQNFYwJRH7/5iCQsEXldRPaLyKYa6vUXkQoRuS1csRkTaikpKRw8eNCSlokb6kzgmJKSEtR2InUNazYwE3izqgoikghMB5aGKSZjwiItLY3CwkLv/TrGxIOUlBTS0tKC2kZEEpaqfiIi6TVU+wnwDtA/5AEZE0bJyclBTRNuTLxy5TUsEUkFbgHOvcPv3LrjRCRXRHLtiNUYY2KXKxMW8BvgSVX1P0aID1V9VVVzVDXH31QAxhhjYoNb78PKAd52hi5pDdwgIuWqujCyYRljjIkUVyYsVfU28IvIbOD9QJLV2rVrD4hI3UbwdJfWQNVDOZuz2f6qHdtftWP7q3Zqu7+qH9nXR0QSlojMBa4CWotIITAFSAZQ1RqvW1VFVWOiTVBEcgO9kc7Y/qot21+1Y/urdkK5vyLVSzDgOZxVdVQIQzHGGBMl3NrpwhhjjDmDJSx3ejXSAUQZ21+1Y/urdmx/1U7I9ldMDX5rjDEmdtkZljHGmKhgCSvMRGSoiGwTkS9FZLKf5Q1FZJ6z/DPfIaxE5CmnfJuIDAln3JFS1/0lIteJyFoR+cL59wfhjj0Sgvl9Ocs7ikiJiDwRrpgjJci/xSwR+buIbHZ+Y8GN6hoFgvhbTBaRN5z9tEVEnqpzEKpqjzA9gERgJ9AFaABsAL5/Vp2HgFnO87uAec7z7zv1GwKdne0kRvozuXh/9QU6OM8zgKJIfx437y+f5e8A84EnIv153Lqv8PSu3gj0cV63sr/FavfXPcDbzvPGwG4gvS5x2BlWeA0AvlTVXap6Cngb+OFZdX4IvOE8/1/gGvEM+fFDPF/6SVUtAL50thfL6ry/VHW9qu5xyjcDKSLSMCxRR04wvy9EZDiwC8/+inXB7KvBwEZV3QCgqgc1gGHkolww+0uBJiKSBDQCTgFH6hKEJazwSgW+9nld6JT5raOq5cBhPEdwgawba4LZX75uBdar6skQxekWdd5fItIEeBL4eRjidINgflvdARWRpSKyTkQmhSHeSAtmf/0vcAzYC/wD+E9VPVSXIFw5NFMMEz9lZ3fTrKpOIOvGmmD2l2ehSG8886oNrse43CqY/fVz4AVVLXFOuGJdMPsqCbgcz9RHx4GPnGneP6rfEF0lmP01AKgAOgDfA1aKyIeququ2QdgZVngVAhf4vE4D9lRVxzmFPg84FOC6sSaY/YWIpAELgB+p6s6QRxt5weyvi4H/EJHdwL8CPxORh0MdcAQF+7f4N1U9oKrHgQ+AfiGPOLKC2V/3AEtUtUxV9wOr8AxwXmuWsMJrDXChiHQWkQZ4LkwuOqvOIuA+5/ltwHL1XK1cBNzl9MTpDFwIfB6muCOlzvtLRFoAfwGeUtVVYYs4suq8v1R1kKqmq2o6nul9nlfVmeEKPAKC+VtcCmSJSGPnP+YrgfwwxR0pweyvfwA/EI8mwCXA1jpFEeneJ/H2AG4AtuPpcfO0U/YL4GbneQqeXlpf4klIXXzWfdpZbxtwfaQ/i5v3F/AMnnbzPJ9H20h/Hrfur7O28Rwx3ksw2H0F3Iunc8om4D8i/VncvL+Apk75ZjyJfWJdY7CRLowxxkQFaxI0xhgTFSxhGWOMiQqWsIwxxkQFS1jGGGOigiUsY4wxUcESljHGmKhgCcuYIIlICxF5yOd1BxH53xC913ARebYet/ef8TL1iol+dh+WMUFy5v15X1UzwvBen+K5UfNAPW2vE/DfqhoPYy2aKGdnWMYEbxrQVUTyRGSGiKSLyCYAERklIgtF5M8iUiAiD4vIT0VkvYisFpGWTr2uIrLEmWxypYj0PPtNRKQ7cLIyWYnI7SKySUQ2iMgnTlmiE8MaEdkoIj/2WX+SM4neBhGZBqCqX+EZrf38kO8lY4Jko7UbE7zJQIaqZoP3jMtXBp4JJVPwDFvzpKr2FZEXgB/hGbvvVWC8qu4QkYuBl4Gzm+oGAut8Xj8LDFHVImfsRID7gcOq2t+Z/2uViPwV6AkMBy5W1eOVidKxztn2O3XeA8aEgSUsY0JvhaoeBY6KyGHgz075F3gGUW0KXAbM95naw99kk+2BYp/Xq4DZIvIn4F2nbLCzzduc1+fhGSj5WuD36hldHD1zPqL9eKZ+MMbVLGEZE3q+E0ee9nl9Gs/fYALwbeUZWjVK8SQgAFR1vHM2diOQJyLZeOYk+omqLvVdUUSGUvX8aSnOto1xNbuGZUzwjgLN6rqyqh4BCkTkdgBnGoY+fqpuAbpVvhCRrqr6mao+CxzAMxfRUuBBEUl26nR3pnT4KzBGRBo75b5Ngt3xjDpujKtZwjImSKp6EM+1ok0iMqOOmxkJ3C8iG/BMw/BDP3U+AfrKd+2GM5xOFJucZRuA1/BM4bDOKf8dkKSqS/DMV5QrInnAEwBOYusG5NYxbmPCxrq1GxNFROS3wJ9V9cN62t4tQD9V/bf62J4xoWRnWMZEl+eBxvW4vSTg1/W4PWNCxs6wjDHGRAU7wzLGGBMVLGEZY4yJCpawjDHGRAVLWMYYY6KCJSxjjDFRwRKWMcaYqGAJyxhjTFSwhGWMMSYqWMIyxhgTFSxhGWOMiQqWsIwxxkQFS1jGGGOiQkzNONy6dWtNT0+PdBjGGGMCtHbt2gOq2iaQujGVsNLT08nNtXnojDEmWojIV4HWtSZBY4wxUcESljHGmKhgCcsYY0xUCNk1LBG5AHgTOB84Dbyqqr89q85VwHtAgVP0rqr+wlk2FPgtkAi8pqrT6hJHWVkZhYWFnDhxok6fw5holJKSQlpaGsnJyZEOxdSzheuLmLF0G3u+LaVDi0ZMHNKD4X1TIx1WWISy00U58LiqrhORZsBaEVmmqvln1Vupqjf5FohIIvD/gOuAQmCNiCzys26NCgsLadasGenp6YhIHT+KMdFDVTl48CCFhYV07tw50uGYerRwfRFPvfsFpWUVABR9W8pT734BEBdJK2RNgqq6V1XXOc+PAluAQPfoAOBLVd2lqqeAt4Ef1iWOEydO0KpVK0tWJm6ICK1atbJWhRg0Y+k2b7KqVFpWwYyl2yIUUXiF5RqWiKQDfYHP/Cy+VEQ2iMhiEentlKUCX/vUKaSKZCci40QkV0Ryi4uLq3r/uoZuTFSy33xs2vNtaa3KY03IE5aINAXeAf5VVY+ctXgd0ElV+wAvAQsrV/OzKfW3fVV9VVVzVDWnTZuA7j0zxpio1KFFo1qVx5qQJiwRScaTrOao6rtnL1fVI6pa4jz/AEgWkdZ4zqgu8KmaBuwJZazGGON2E4f0oFFy4hlljZITmTikR4QiCq+QJSzxtEn8D7BFVf+rijrnO/UQkQFOPAeBNcCFItJZRBoAdwGLQhWrr4Xrixg4bTmdJ/+FgdOWs3B9UdDbbNq0aT1E5jFx4kR69uxJVlYWt9xyC99++y3g6Q153333kZmZSa9evZg6dWq121myZAk9evSgW7duTJvmvwPm7NmzadOmDdnZ2WRnZ/Paa695lz355JNkZGSQkZHBvHnzvOWjRo2ic+fO3nXy8vKqjOGiiy7i1KlTAEydOpU5c+ac8/4JCQls3LjRW5aRkcHu3bsBmDt3LpmZmWRlZTF06FAOHDjgrffSSy/Ro0cPevfuzaRJk6qM4fjx44wcOZLMzEwyMjK4/PLLKSkpASAxMdH7ObKzs9m9ezdz5sw5oywhIcHvZ3zuuedITU311vvggw+qjMGf559/vsY6u3fv5q233gp4m6H4bZvwGt43lakjMklt0QgBUls0YuqIzLjocAF4ehSF4gFcjqcZbyOQ5zxuAMYD4506DwObgQ3AauAyn/VvALYDO4GnA3nPiy66SM+Wn59/TllVFqwr1J7PLNZOT77vffR8ZrEuWFcY8Db8adKkSVDr+1q6dKmWlZWpquqkSZN00qRJqqo6Z84cvfPOO1VV9dixY9qpUyctKCjwu43y8nLt0qWL7ty5U0+ePKlZWVm6efPmc+r9/ve/1wkTJpxT/v777+u1116rZWVlWlJSohdddJEePnxYVVXvu+8+nT9/fo2fo6CgQIcNG+Z9fdVVV+n+/fvPef8LLrhA77jjDm9Z7969taCgQMvKyrRNmzZaXFysqqoTJ07UKVOmqKrq8uXL9ZprrtETJ06oquq+ffuqjOP555/Xxx57zPt669at3vVq+t42btyonTt39rtsypQpOmPGjGrXr04gv5kVK1bojTfeWOVy399+qH7bxgQLyNUA80ooewn+n6qKqmaparbz+EBVZ6nqLKfOTFXtrap9VPUSVf3UZ/0PVLW7qnZV1V+FKk5foeyBU1JSwjXXXEO/fv3IzMzkvffeAzxHyb169WLs2LH07t2bwYMHU1pa9QXUwYMHk5TkuRvhkksuobCwEPBcZD927Bjl5eWUlpbSoEEDmjdv7ncbn3/+Od26daNLly40aNCAu+66yxtPIPLz87nyyitJSkqiSZMm9OnThyVLlgS8PsDixYsZOnQoAEeOHOHUqVP4uwZ50003sXnzZrZtO/M7qPwBHzt2DFXlyJEjdOjQAYBXXnmFyZMn07BhQwDatm1bZRx79+4lNfW7o9MePXp416vJ3LlzufvuuwOqW2n37t0MGjSIfv360a9fPz799NNz6kyePJnS0lKys7MZOXIka9asISsrixMnTnDs2DF69+7Npk2bmDx5MitXriQ7O5sXXnih2veN995lJjbYSBc+QtkDJyUlhQULFrBu3TpWrFjB448/XnkmyY4dO5gwYQKbN2+mRYsWvPPOOwFt8/XXX+f6668H4LbbbqNJkya0b9+ejh078sQTT9CyZUu/6xUVFXHBBd9dIkxLS6OoyH/z0DvvvENWVha33XYbX3/t6bjZp08fFi9ezPHjxzlw4AArVqzwLgN4+umnycrK4rHHHuPkyZN+t7tkyRJvwvrwww+55ppr/NZLSEhg0qRJ5zSRJScn88orr5CZmUmHDh3Iz8/n/vvvB2D79u2sXLmSiy++mCuvvJI1a9b43TbAmDFjmD59OpdeeinPPPMMO3bs8C6rTBrZ2dnccsst56w7b968ahPWzJkzycrKYsyYMXzzzTeAJ3kuW7aMdevWMW/ePB555JFz1ps2bRqNGjUiLy+POXPm0L9/f26++WaeeeYZJk2axL333ktGRgbTpk1j0KBB5OXl8dhjj1UZB1jvMhMbLGH5CGUPHFXlZz/7GVlZWVx77bUUFRWxb98+AO81H/Bc16m8RlOdX/3qVyQlJTFy5EjAc9aUmJjInj17KCgo4Ne//jW7du2qMpaz+esGPWzYMHbv3s3GjRu59tprue+++wDPWd4NN9zAZZddxt13382ll17qPeubOnUqW7duZc2aNRw6dIjp06efs91Tp05RWFhIly5dAE/yqky8/txzzz2sXr2agoICb1lZWRmvvPIK69evZ8+ePWRlZXmv25WXl/PNN9+wevVqZsyYwR133OH3MwNkZ2eza9cuJk6cyKFDh+jfvz9btmwB8CaNvLw8FixYcMZ6n332GY0bNyYjI8Pvdh988EF27txJXl4e7du35/HHH/fGPXbsWDIzM7n99tvJzw/sXvhnn32WZcuWkZubW+01uarEe+8yExssYfkIZQ+cOXPmUFxczNq1a8nLy6Ndu3beGzt9m6ASExMpLy+vdltvvPEG77//PnPmzPEmmrfeeouhQ4eSnJxM27ZtGThwYJVTraSlpZ1xRlRYWOhtTvPVqlUrb2xjx45l7dq13mVPP/00eXl5LFu2DFXlwgsvBKB9+/aICA0bNmT06NF8/vnn52x35cqVXH755d7Xn3/+OQMGDKjy8yYlJfH444+fkfwqOzp07doVEeGOO+7wNq+lpaUxYsQIRIQBAwaQkJBwRoeMszVt2pQRI0bw8ssvc++99wbUQeLtt9+u9uyqXbt2JCYmkpCQwNixY7374YUXXqBdu3Zs2LCB3Nxcb6eTmhw6dIiSkhKOHj1apxuC4713mYkNlrB8hLIHzuHDh2nbti3JycmsWLGCr74KeAqYMyxZsoTp06ezaNEiGjdu7C3v2LEjy5cv917XWb16NT179vS7jf79+7Njxw4KCgo4deoUb7/9NjfffPM59fbu3et9vmjRInr16gVARUUFBw8eBGDjxo1s3LiRwYMHn7GOqrJw4UK/ZyC+Z1SbN2+mZ8+eJCYmnlPP16hRo/jwww+pvDk8NTWV/Px87+tly5Z54xs+fDjLly8HPM2Dp06donXr1n63u2rVKm9z3alTp8jPz6dTp07VxnL69Gnmz5/PXXfdVWUd3323YMEC7344fPgw7du3JyEhgT/84Q9UVFT4XT85OZmysjLv63HjxvHLX/6SkSNH8uSTTwLQrFkzjh49Wm2sleK+d5mJCTE1gWN9GN43tV7/iMvLy2nYsCEjR45k2LBh5OTkkJ2dXWUyqcnDDz/MyZMnue666wBPx4tZs2YxYcIERo8eTUZGBqrK6NGjycrK8ruNpKQkZs6cyZAhQ6ioqGDMmDH07u0ZZOTZZ58lJyeHm2++mRdffJFFixaRlJREy5YtmT17NuBp1ho0aBAAzZs3549//KO3SXDkyJEUFxejqmRnZzNr1qxz3v/jjz/mF7/4BXBm54vqNGjQgEceeYRHH30UgA4dOjBlyhSuuOIKkpOT6dSpkze+MWPGMGbMGDIyMmjQoAFvvPFGlSM/7Ny5kwcffBBV5fTp09x4443ceuut1cbyySefkJaW5m3SrPTAAw8wfvx4cnJymDRpEnl5eYgI6enp/O53vwPgoYce4tZbb2X+/PlcffXVNGnSxLu+720A48aNIysri379+jFkyBCSkpK45557qKio4LLLLmP58uUMGjSIpKQk+vTpw6hRo2q8jlXfv21jwk2qatuPRjk5OXp2M9iWLVu8R96RsGHDhjOahOJdYWEhY8eOZfHixQBcd911vPnmm7Rv3z7CkcWeSP/2jQmEiKxV1ZxA6toZVgjNmjWLF198kd/85jeRDsU10tLSvMkKPE15xhgTCEtYITR+/HjGjx9fp3UnTJjAqlWrzih79NFHGT16dMDbOHjwoN/u4h999BGtWrWqU1zRaunSpd5rP5U6d+58Tu8/Y4x7xUWTYM+ePW30ahNXVJWtW7dak2AQ4nmixHCqTZNgzPcSTElJ4eDBg1Xeh2NMrFFnAseUlJRIhxK1KidKLPq2FOW7iRJt/MXIivkmwbS0NAoLC6lqrixjYlFKSgppaWmRDiNqVTeUlZ1lRU7MJ6zk5GSbJtwYUys2lJU7xXyToDHG1JYNZeVOoZwP6wIRWSEiW0Rks4g86qfOSBHZ6Dw+FZE+Pst2i8gXIpInIv7HGDLGmBCwoazcKZRNguXA46q6TkSaAWtFZJmq+o72WQBcqarfiMj1wKvAxT7Lr1bVqgeBM8aYEKi8TmW9BN0lZAlLVfcCe53nR0VkC5AK5PvU8Z0MaDVgV4mNMa5gQ1m5T1iuYYlIOtAX+KyaavcDi31eK/BXEVkrIuNCF50xxphoEPJegiLSFHgH+FdVPVJFnavxJKzLfYoHquoeEWkLLBORrar6iZ91xwHjwDNiuTHGmNgU0jMsEUnGk6zmqOq7VdTJAl4DfqiqByvLVXWP8+9+YAHgd8IkVX1VVXNUNcffFOvGGGNiQyh7CQrwP8AWVf2vKup0BN4F/kVVt/uUN3E6aiAiTYDBwKZQxWqMMcb9QtkkOBD4F+ALEclzyn4GdARQ1VnAs0Ar4GVnrL9yZ0ypdsACpywJeEtVl4QwVmOMMS4Xyl6C/wdUO+Ksqj4APOCnfBfQ59w1jDHGxCsb6cIYY0xUiPmxBI0xHm6dLsOtcRn3sYRlTByonC6jcgTyyukygIgmB7fGZdzJmgSNiQPVTZcRSW6Ny7iTJSxj4oBbp8twa1zGnSxhGRMH3DpdhlvjMu5kCcuYOODW6TLcGpdxJ+t0YUwccOt0GW6Ny7iTqGr1FUS6AL8FLgVOA38HHnNu7nWVnJwczc21uR6NMSZaiMhaZ4SjGgXSJPgW8CfgfKADMB+YW/fwjDHGmNoLJGGJqv5BVcudxx/xzFVljDHGhE0g17BWiMhk4G08iepO4C8i0hJAVQ+FML64Ynf8G2NM1QJJWHc6//74yPvtrAAAEYFJREFUrPIxeBJYl3qNKE7ZHf/GGFO9GhOWqnYORyDxrro7/i1hGWNMANewRCRRRG4WkUdE5KeVjwDWu0BEVojIFhHZLCKP+qkjIvKiiHwpIhtFpJ/PsvtEZIfzuK/2Hy262B3/xhhTvUCaBP8MnAC+wNOtPVDlwOOqus6ZPXitiCxT1XyfOtcDFzqPi4FXgIud62NTgBw8zY5rRWSRqn5Ti/ePKh1aNKLIT3KyO/5NrLNrtyZQgSSsNFXNqu2GVXUvsNd5flREtgCpgG/C+iHwpnpuBlstIi1EpD1wFbCsskOHiCwDhhLD3eknDulxxjUssDv+Teyza7emNgLp1r5YRAYH8yYikg70BT47a1Eq8LXP60KnrKpyf9seJyK5IpJbXFwcTJgRNbxvKlNHZJLaohECpLZoxNQRmfZHa2KajdZuaiOQM6zVwAIRSQDK8Ex7r6raPJA3EJGmwDvAv6rqkbMX+1lFqyk/t1D1VeBV8Ix0EUhMbjW8b6olKBNX7NqtqY1AzrB+jWdYpsaq2lxVm9UiWSXjSVZzVPVdP1UKgQt8XqcBe6opN8bEEBut3dRGIAlrB7BJaxp08CwiIsD/AFtU9b+qqLYI+JHTW/AS4LBz7WspMFhEvici3wMGO2XGmBhio7Wb2gikSXAv8LGILAZOVhZWk4QqDQT+BfhCRPKcsp8BHZ31ZwEfADcAXwLHgdHOskMi8ktgjbPeL2xEDWNij43WbmojkNHap/grV9WfhySiINho7cYYE11qM1p7ICNd/NzZaBNVPRZscMYYY0xdBDLSxaUikg9scV73EZGXQx6ZMcYY4yOQThe/AYYABwFUdQNwRSiDMsYYY84WSMJCVb8+q6jCb0VjjDEmRALpJfi1iFwGqIg0AB7BaR40xhhjwiWQM6zxwAQ8QyMVAtnAQ6EMyhhjjDlbIGdYPVR1pG+BiAwEVoUmJGOMMeZcgZxhvRRgmTHGGBMyVZ5hicilwGVAm7MmbGwOJPpfywTD5gUyxpiqVdck2ABo6tRp5lN+BLgtlEHFI5sXKHbYgYcxoVFlwlLVvwF/E5HZqvpVGGOKS9XNC2T/2UUPO/AwJnRqvIZlySo8bF6g2GATEhoTOgHdOGxCz+YFig124GFM6FjCcgmbFyg22IGHMaFTXS/Bl6hiWnoAVX2kug2LyOvATcB+Vc3ws3wiUHl/VxLQC2jjzIW1GziKZwio8kCHno9mNi9QbJg4pMcZ17DADjyMqS/V9RIMdmKp2cBM4E1/C1V1BjADQESGAY+dNUnj1ap6IMgYosrwvqmWoKKcHXgYEzrV9RJ8w/e1iDTzFGtJIBtW1U9EJD3AOO4G5gZY1xhXswMPY0IjkPmwMkRkPbAJyBeRtSLSu74CEJHGwFDgHZ9iBf7qvNe4GtYfJyK5IpJbXFxcX2EZY4xxmUDGEnwV+KmqrgAQkauA/8YzCkZ9GAasOqs5cKCq7hGRtsAyEdmqqp/4W1lVX3ViJCcnp8prbtHAbjg1xpiqBdJLsEllsgJQ1Y+BJvUYw12c1Ryoqnucf/cDC4AB9fh+rlR5w2nRt6Uo391wunB9UaRDM8YYVwgkYe0SkX8TkXTn8QxQUB9vLiLnAVcC7/mUNXGulyEiTYDBeJojY5rdcGqMMdULpElwDPBz4F1AgE+A0TWtJCJzgauA1iJSCEwBkgFUdZZT7Rbgr6p6zGfVdsACEamM7y1VXRLIh4lmdsOpMcZUr8aEparf4JlluFZU9e4A6szG0/3dt2wX0Ke27xftOrRoRJGf5GQ3nEYfuxZpTGgE0kswR0TeFZF1IrKx8hGO4OLJ1T3b1KrcuJNdizQmdAJpEpwDTAS+AE6HNpz4tWKr/y75VZUbd7JR940JnUASVrGqLgp5JHHOrmHFBvsezf9v785j7CrLOI5/f04LLUuosogdKC1LIVC6wFDUYlhUKG6tLEkBBRWCQDAxhqWIFsEEKmDQiIQtCP8IyBqQ0iLUWFIE6QplKRbK0qmxBcImBGj7+Mc5g7fjzJ27zLnn3Ht/n+Sm97xnmee+M7fPec95z/tadipJWBdJuhF4BPiwpzAi7s4sqjbke1itwb9Hs+xU0q39+8BEktEovpm+vpFlUO3Io7W3hiL/Hu9d2s2U2fMZM/MBpsye7/tq1nQqaWFNiIj9M4+kzXnQ1NZQ1N+jZ0K2VqCI8qMZSboBuCoinm1MSLXr6uqKRYvqHWTerPVMmT2/z0uVnSOGs3DmETlEZJaQtLjSKaQqaWEdApwiaTXJPSyRjNo+vo4Yzerm550q584g1goqSVhTM4/CrEq+xFUddwaxVjBgp4uIeKWvVyOCM+uPx16sTpE7g5hVqpIWlrW5Il568yWu6hS1M4hZNZywrKyiXnrzJa7qeSbk6hTxRK3dVfIclrWxol568yUuy5LHhCymzBKWpJskrZPU51xWkg6T9LakZelrVsm6qZJWSlolaWZWMdrA+mrFlCtvlOmTOjn2wE46kmlo6JA49kC3IGxwFPVErd1l2cK6mYF7GD4aERPT1yUAkjqA3wNHA/sCJ0jaN8M4rYyehFBpeaPcu7SbuxZ3szF9jnBjBHct7vYZsA0K3yMtpswSVkQsAN6sYdfJwKqIeCkiPgJuA6YNanBWsY39PFjeX3mj+AzYstTfvVDfI81X3vewviBpuaQHJe2XlnUCr5VssyYt65Ok0yUtkrRo/XpPxTHYOvv5gvZX3ig+A7Ys+R5pMeWZsJYAu0XEBOB3wL1peV/Xmvo9nY+I6yOiKyK6dtzRkx0OtnOP2puhHZv/SoZ2KPcvrs+ALUvTJ3Vy2TH70zliOCI5QbvsmP19jzRnuXVrj4h3St7PkXSNpB1IWlS7lmy6C7C20fFZid6nC/leDQSSRFra3R58BmyDy48BFE9uCUvSzsC/IyIkTSZp7b0BvAXsJWkM0A3MAE7MK852d8W8lXy8afMM9fGmyH0G3SI/COvnd8yykVnCknQrcBiwg6Q1wEXAUICIuBY4DjhT0gbgA2BGJEPHb5B0NjAP6ABuiohnsorTyivyvaIingEX9UFrs1aQWcKKiBMGWH81cHU/6+YAc7KIy6rjESWqU673ohOWWX3y7iVoBefeUtUpcovUrNk5YVlZ7i1VHfdeNMuOB7+1ARXxXlFRufeiWXacsKxpFbE3XpF7L5o1OycsG1ARE0ORe+O5RWqWDd/DsrKKOs2CxxI0az9OWFZWURODe+OZtR8nLCurqInBvfHM2o8TlpVV1MTg58PM2o8TlpVV1MTg58PM2o97CVpZRe6m7d54raGIvVCtmJywbEBODJaVIj+eYMXjS4Jmlpui9kK1YnLCMrPcFLUXqhVTZglL0k2S1kla0c/6kyQ9lb4ekzShZN3Lkp6WtEzSoqxiNLN8FbUXqhVTli2sm4GpZdavBg6NiPHAL4Hre60/PCImRkRXRvGZWc6K2gvViinLCRwXSBpdZv1jJYuPA7tkFYuZFVORe6Fa8RSll+CpwIMlywE8JCmA6yKid+vrE5JOB04HGDVqVKZBmtngcy/U6rTzYwC5JyxJh5MkrENKiqdExFpJOwF/kfR8RCzoa/80mV0P0NXVFZkHbGaWk3Z/DCDXXoKSxgM3AtMi4o2e8ohYm/67DrgHmJxPhGZmxdHujwHklrAkjQLuBr4bES+UlG8tadue98CRQJ89Dc3M2km7PwaQ2SVBSbcChwE7SFoDXAQMBYiIa4FZwPbANZIANqQ9Aj8L3JOWDQH+GBFzs4rTzKxZjBwxnO4+klO7PAaQZS/BEwZYfxpwWh/lLwET/n8PM7P2du5Re292Dwva6zGA3DtdmJlZZdr9MQAnLDOzJtLOjwF4LEEzM2sKTlhmZtYUnLDMzKwpKKJ1BoeQtB54Je84BsEOwOt5B9FEXF/VcX1Vx/VVnWrra7eI2LGSDVsqYbUKSYs8Sn3lXF/VcX1Vx/VVnSzry5cEzcysKThhmZlZU3DCKqZ+p1OxPrm+quP6qo7rqzqZ1ZfvYZmZWVNwC8vMzJqCE5aZmTUFJ6wGkzRV0kpJqyTN7GP9lpJuT9c/IWl0yboL0vKVko5qZNx5qbW+JH1V0mJJT6f/HtHo2PNQz99Xun6UpPckndOomPNS53dxvKS/S3om/Rsb1sjY81DHd3GopFvSenpO0gU1BxERfjXoBXQALwK7A1sAy4F9e21zFnBt+n4GcHv6ft90+y2BMelxOvL+TAWur0nAyPT9OKA7789T5PoqWX8XcAdwTt6fp6h1RTJo+FPAhHR5e38Xy9bXicBt6futgJeB0bXE4RZWY00GVkXESxHxEXAbMK3XNtOAW9L3dwJfVjKb5TSSX/qHEbEaWJUer5XVXF8RsTQi1qblzwDDJG3ZkKjzU8/fF5KmAy+R1Ferq6eujgSeiojlABHxRkRspLXVU18BbC1pCDAc+Ah4p5YgnLAaqxN4rWR5TVrW5zYRsQF4m+QMrpJ9W0099VXqWGBpRHyYUZxFUXN9SdoaOB+4uAFxFkE9f1tjgZA0T9ISSec1IN681VNfdwL/Af4FvApcGRFv1hKE58NqLPVR1vu5gv62qWTfVlNPfSUrpf2AX5GcFbe6eurrYuCqiHgvbXC1unrqaghwCHAQ8D7wiKTFEfHI4IZYKPXU12RgIzAS+DTwqKSHI5ldvipuYTXWGmDXkuVdgLX9bZM2obcD3qxw31ZTT30haRfgHuDkiHgx82jzV099HQxcLull4MfATyWdnXXAOar3u/i3iHg9It4H5gAHZB5xvuqprxOBuRHxcUSsAxYCNY016ITVWE8Ce0kaI2kLkhuT9/Xa5j7glPT9ccD8SO5W3gfMSHvijAH2Av7RoLjzUnN9SRoBPABcEBELGxZxvmqur4j4UkSMjojRwG+ASyPi6kYFnoN6vovzgPGStkr/Yz4UeLZBceelnvp6FThCia2BzwPP1xRF3r1P2u0FfA14gaTHzYVp2SXAt9L3w0h6aa0iSUi7l+x7YbrfSuDovD9LkesL+BnJdfNlJa+d8v48Ra2vXsf4BS3eS7DeugK+Q9I5ZQVwed6fpcj1BWyTlj9DktjPrTUGD81kZmZNwZcEzcysKThhmZlZU3DCMjOzpuCEZWZmTcEJy8zMmoITllmdJI2QdFbJ8khJd2b0s6ZLmjWIx7uyXUayt+bnbu1mdUqnUfhzRIxrwM96jOS5l9cH6Xi7ATdERDsMXWVNzi0ss/rNBvaQtEzSFZJGS1oBIOl7ku6VdL+k1ZLOlvQTSUslPS7pM+l2e0iam87d9aikfXr/EEljgQ97kpWk4yWtkLRc0oK0rCON4UlJT0n6Ycn+56VzEi2XNBsgIl4hGfx258xryaxOHvzWrH4zgXERMRE+aXGVGkcyP9cwklEAzo+ISZKuAk4mGQrpeuCMiPinpIOBa4Del+qmAEtKlmcBR0VEdzoUFcCpwNsRcVA6ncpCSQ8B+wDTgYMj4v2eRJlakh77rpprwKwBnLDMsvfXiHgXeFfS28D9afnTJGPSbQN8EbijZKT0vubu+hywvmR5IXCzpD8Bd6dlR6bHPC5d3o5k3MmvAH+IZLBWYvPpHdaRjKRtVmhOWGbZK52Ha1PJ8iaS7+CngLd6WmhlfECSgACIiDPS1tjXgWWSJpJM8fCjiJhXuqOkqfQ/Hc2w9NhmheZ7WGb1exfYttadI+IdYLWk4wHSUa0n9LHpc8CePQuS9oiIJyJiFvA6ydQO84AzJQ1NtxmbjpD9EPADSVul5aWXBMeSDOJqVmhOWGZ1iog3SO4VrZB0RY2HOQk4VdJyklGte08/DrAAmKT/XTe8Iu1EsSJdtxy4kWRE7CVp+XXAkIiYSzL9wyJJy4BzANLEtiewqMa4zRrG3drNmoik3wL3R8TDg3S8bwMHRMTPB+N4ZllyC8usuVwKbDWIxxsC/HoQj2eWGbewzMysKbiFZWZmTcEJy8zMmoITlpmZNQUnLDMzawpOWGZm1hT+CyD7lUIjjp5CAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 48 $$$ 48 $$$ 48 $$$ 48 $$$ 48 $$$ 48 $$$ 48 $$$ 48 $$$ 48 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.66354545455e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.643 +/- 0.021 uk (1.2585159196 %)\n",
      "mean Na temp = 1.664 +/- 0.027 uk\n",
      "111111    1.7777e-06\n",
      "222222       [17 19]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.7777e-06 *******\n",
      "init mol temp = 1.83344444444 (5.65994236631 %)\n",
      "mean mol temp = 1.7777 (4.03415813907 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 136.024689638E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 92.8230873953k\n",
      "TOTAL Na num = 92.8230873953k\n",
      "\n",
      "init mol temp/init Na temp = 1.10213065681\n",
      "init mol temp = 1.83344444444e-06 uk\n",
      "init na temp = 1.66354545455e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.63350538101\n",
      "\n",
      "init na num = 117.845740163 at 1.66354545455 uk\n",
      "init Na density = 1.52138034211e+11 cm^-3 (7.53444037543 %)\n",
      "\n",
      "init overlap density = 1.18026023895e+11 cm^-3 (9.81557209445 %) (34.4288462708 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.775782495858\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 30.2795718583 at 1.83344444444 uk\n",
      "init molecule density = 2.38074861143e+11 cm^-3 (12.5329065077 %)\n",
      "two-body rate coefficient = 2.8748907445e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.172255027665\n",
      "loss rate coefficient = 2.76690249028e-10 (19.8258266183 %) (38.4975765614 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 44.8300887961\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.128307584545\n",
      "\n",
      "loss rate from EXP fit = 32.9919695255\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.8748907445e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.163907547315\n",
      "loss rate coefficient = 3.12505376509e-10 (17.7204207471 %) (37.4568192917 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.8748907445e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.178166627977\n",
      "loss rate coefficient = 3.16389000968e-10 (19.0470455459 %) (38.102361397 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 49 $$$ 49 $$$ 49 $$$ 49 $$$ 49 $$$ 49 $$$ 49 $$$ 49 $$$ 49 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.707e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.631 +/- 0.015 uk (0.939342496639 %)\n",
      "mean Na temp = 1.707 +/- 0.019 uk\n",
      "111111    1.679825e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.679825e-06 *******\n",
      "init mol temp = 1.75546666667 (4.05729024661 %)\n",
      "mean mol temp = 1.679825 (2.47684466593 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 141.966768231E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 94.4368372028k\n",
      "TOTAL Na num = 94.4368372028k\n",
      "\n",
      "init mol temp/init Na temp = 1.02839289201\n",
      "init mol temp = 1.75546666667e-06 uk\n",
      "init na temp = 1.707e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.12195213394\n",
      "\n",
      "init na num = 119.894514298 at 1.707 uk\n",
      "init Na density = 1.48910372806e+11 cm^-3 (7.00184421453 %)\n",
      "\n",
      "init overlap density = 1.18875644858e+11 cm^-3 (9.13691899738 %) (34.2415433175 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.798303319087\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 35.0573324452 at 1.75546666667 uk\n",
      "init molecule density = 2.94208643645e+11 cm^-3 (9.44518793547 %)\n",
      "two-body rate coefficient = 2.75261946854e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0883150734314\n",
      "loss rate coefficient = 1.50511266052e-10 (12.7074313186 %) (35.3621098171 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 21.1556929059\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0742116437246\n",
      "\n",
      "loss rate from EXP fit = 18.3757200689\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.75261946854e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0852240966743\n",
      "loss rate coefficient = 1.64727568117e-10 (10.4875856187 %) (34.6264270769 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.75261946854e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0927848563333\n",
      "loss rate coefficient = 1.70702875782e-10 (11.1107282038 %) (34.8202280466 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 50 $$$ 50 $$$ 50 $$$ 50 $$$ 50 $$$ 50 $$$ 50 $$$ 50 $$$ 50 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.62891304348e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.623 +/- 0.009 uk (0.5732251311 %)\n",
      "mean Na temp = 1.629 +/- 0.018 uk\n",
      "111111    1.73495652174e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.73495652174e-06 *******\n",
      "init mol temp = 1.67394444444 (3.10484750387 %)\n",
      "mean mol temp = 1.73495652174 (3.26147582642 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 122.76321327E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 90.3533414665k\n",
      "TOTAL Na num = 90.3533414665k\n",
      "\n",
      "init mol temp/init Na temp = 1.02764506132\n",
      "init mol temp = 1.67394444444e-06 uk\n",
      "init na temp = 1.62891304348e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.47050135778\n",
      "\n",
      "init na num = 114.710215962 at 1.62891304348 uk\n",
      "init Na density = 1.52837936639e+11 cm^-3 (7.30844535946 %)\n",
      "\n",
      "init overlap density = 1.22046790923e+11 cm^-3 (9.32016876224 %) (34.2908959603 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.798537284701\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 40.0941328782 at 1.67394444444 uk\n",
      "init molecule density = 3.61355531147e+11 cm^-3 (7.64926500195 %)\n",
      "two-body rate coefficient = 2.62479040732e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0548149484583\n",
      "loss rate coefficient = 7.02785009988e-11 (10.8126005892 %) (34.7262484513 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 10.8599573585\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0398625197843\n",
      "\n",
      "loss rate from EXP fit = 9.12467762668\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.62479040732e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0510913081245\n",
      "loss rate coefficient = 8.27212294118e-11 (7.88403062431 %) (33.9287184975 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.62479040732e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0576264439296\n",
      "loss rate coefficient = 8.19576802561e-11 (8.32242702738 %) (34.0332600793 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.567\n",
      "\n",
      " $$$ 51 $$$ 51 $$$ 51 $$$ 51 $$$ 51 $$$ 51 $$$ 51 $$$ 51 $$$ 51 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.54247058824e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.468 +/- 0.061 uk (4.17612990607 %)\n",
      "mean Na temp = 1.542 +/- 0.018 uk\n",
      "111111    1.71355882353e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.71355882353e-06 *******\n",
      "init mol temp = 1.74 (1.93449837183 %)\n",
      "mean mol temp = 1.71355882353 (2.78402817057 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 116.11175688E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 78.6090798132k\n",
      "TOTAL Na num = 78.6090798132k\n",
      "\n",
      "init mol temp/init Na temp = 1.12806040729\n",
      "init mol temp = 1.74e-06 uk\n",
      "init na temp = 1.54247058824e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 3.03593114821\n",
      "\n",
      "init na num = 104.728407182 at 1.54247058824 uk\n",
      "init Na density = 1.51431101291e+11 cm^-3 (7.01467346318 %)\n",
      "\n",
      "init overlap density = 1.16316287082e+11 cm^-3 (9.28703927369 %) (34.2819062841 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.768113591535\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 47.8781066438 at 1.74 uk\n",
      "init molecule density = 4.07172592505e+11 cm^-3 (6.71077655042 %)\n",
      "two-body rate coefficient = 2.72836731464e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0922494667568\n",
      "loss rate coefficient = 6.76686265615e-11 (13.0900244324 %) (35.5013906719 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 12.8275237035\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.066601090427\n",
      "\n",
      "loss rate from EXP fit = 8.47538695775\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.72836731464e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.080353459886\n",
      "loss rate coefficient = 8.01670144679e-11 (10.2324128742 %) (34.5499967182 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.72836731464e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0931365750662\n",
      "loss rate coefficient = 8.42199313956e-11 (11.2640891431 %) (34.8694666467 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 52 $$$ 52 $$$ 52 $$$ 52 $$$ 52 $$$ 52 $$$ 52 $$$ 52 $$$ 52 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.59773684211e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.552 +/- 0.013 uk (0.822147449067 %)\n",
      "mean Na temp = 1.598 +/- 0.019 uk\n",
      "111111    1.79021296296e-06\n",
      "222222       [15]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.79021296296e-06 *******\n",
      "init mol temp = 1.68038888889 (1.89988673029 %)\n",
      "mean mol temp = 1.79021296296 (3.43143597167 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 108.529015074E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 76.8061484792k\n",
      "TOTAL Na num = 76.8061484792k\n",
      "\n",
      "init mol temp/init Na temp = 1.05173070095\n",
      "init mol temp = 1.68038888889e-06 uk\n",
      "init na temp = 1.59773684211e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.88691938267\n",
      "\n",
      "init na num = 102.326418413 at 1.59773684211 uk\n",
      "init Na density = 1.403478677e+11 cm^-3 (8.13490149098 %)\n",
      "\n",
      "init overlap density = 1.11023428027e+11 cm^-3 (9.97352123696 %) (34.4742095756 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.791058887077\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 41.4192125166 at 1.68038888889 uk\n",
      "init molecule density = 3.71152660183e+11 cm^-3 (6.9633704341 %)\n",
      "two-body rate coefficient = 2.63489547145e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.110133751961\n",
      "loss rate coefficient = 1.73446217085e-10 (14.8581815534 %) (36.1906833187 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 27.0601388386\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0777728509235\n",
      "\n",
      "loss rate from EXP fit = 19.8132790149\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.63489547145e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0856171897542\n",
      "loss rate coefficient = 2.03465068779e-10 (10.4822888169 %) (34.6248231597 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.63489547145e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.100866948655\n",
      "loss rate coefficient = 2.14004137881e-10 (11.760814612 %) (35.0330809427 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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hY5lAdlFlI88I0XnJeliNr4cF8NBDD/F///d/Z7Rv2bKFkSNHMnDgQEaOHElaWtoZ21x11VWUl5czfPhwPvvsM5555hleeeUVlixZcsZn0SU1dR0Se7i193pY5RUF+qlPp+gBHw7Q095L0EcOrWxwu5EvrtbRj3x3xq3XY9/rhb+m64Ky6naNW9gvWQ+rc6+HFR0drU+cOKH79eunDx48qBcvXqxvvfVWrbXWxcXFura2Vmut9cqVK/W1117bYLyenp7W+08//bSeN29eg5+FPZL1sDqQh7s/z964jFf73kqGMnLDuvv48ofZaOOpyw7MmdQXd+dTDzs4OSiCvFx56us9DH1hFbMWbuP7Xcepqu0cU+SX7sxi1Es/0WPu94x66Sc53yasZD2sxtfDAvPSKnPmzOHFF188pb24uJgbbriBAQMGcP/99zf4OYizk4TVBiaOeIgvr/icOEdvns5Zx+yPRpCTtdX6/NSBEbx4bTwRfu4oIMLPnVduSGTjo5ey7C8XcdvoHqRmFTH7fzsY+vwqHl6Swq+/5WEydcwU+aU7s2SSiGiQrIeF9XFD62HVufnmm1m3bh1Hjx61tj355JOMGzeO3bt38+233zb4OYizk4TVRroFx/LuTRuYGzGRLaqKa1bM4PsVD1hHW1MHRrBh7iWkv3Q5G+ZeYp1sERvuw2OX9efXuZfy39uHM2lAN5alnuBPCzYz6uWfeHHZPvZml7Tr9V3zfkyj8rSRXt0kEdG1yXpYTePs7Mz999/P66+/bm2r/zl8+OGHze6zq6191ZAWJSyllL9SKkEpNaju1taB2SMHB0emj3+VxePfJcbBg7nHV3LPRyM4ceSXc+7r6KAY3TuIV25IZOvj4/nXtIHEhvnw3i/pXPbGeia9vo5/rznEsYIKm7+PxiaDyCQRIethNd3tt99+yijs4Ycf5tFHH2XUqFEYjc0/9N/YZ9GVNHs9LKXU34AZwG/8Pltba60vadvQmq8zrYdlNBr4308P86/MFTig+WvgMP4w5S0cnN2b1U9BeQ3fpx5n6c4sth8xz14aEu3P1UnhXBYfRqBXyxZ+O5tRL/1EVgPJKcLPnQ1zO/yfuUuT9bCEPWvtelgtSVhpQLzWuqZZO7aDzpSw6mSe3MVzK/7MRlMJ8QbFk0Meon/iLS3q61hBBd+kZPN1chYHTpaZR2W9grg6KZyJcd3wcm2by+qW7sxizuIUauudQ3N2UMy7IVGuG+tg52vCqr8eVp8+fTo6HGEjHbGA427Aj9+rUoiziAxN4O2bfuH7jX9nXtp/+ePOvzNt90JmT/oP3kHN+8OMCvBg9rhezB7Xi/0nSvg6OZtvkrN54PMUXJ1SubR/CFclRnBx32DcnFt5MeTp57NlRRVhQ7IelmiKloywhmCuSLEbqK5r11pf1bahNV9nHGHVV1KeyxvL7+Lz0jT8TZr7QkcxdcLrOLh4tLhPk0mz42gh36Zk833qcfLKavB2dWJiXDeuTAxjVK8gnB2bd6pSDgl2XufrCEt0DR1xSHAP8DaQCpjq2rXWPzerIxvo7Amrzp70Vby0/nGSdQVxBpg74E6Sht0DrVwY0mA0sfFwPt8kZ7N8zwlKqwwEeLoweUA3rkwIZ1iPABwdzv0aPeZ+32B1DgWkv3R5q2IUrSMJS9izjjgkmKe1fqMF+3VpTyxNZdHmYxi1xlEp/jhsAX8MW8E/9n3EzfvfYcLej7h/5NNE9b2ixa/h5OjARb2Duah3MM9fM4Cf03L5dtdxvtqRxf82HyXY25XL48O4MjGMgVH+ODSSvML93BscYYX7NW/CiBBCtKWWjLD+gflQ4Decekiw3Zawb0xnHWE9sTSV/246ekb7TSO689iUGBb+9BAfnNxALfBHpxDuGPd3AiKa9IWjSSpqDPy0P4dvU7JZk5ZLjcFEuK8bl8WHcUViOImRvqdchFl34XD9a7HcnR158dp4mXTRwWSEJexZa0dYLbkOayAwAvg/4FXL7ZUW9NNlLNrccAmXRZuP4eHqzZ+nvM33U7/jaq9e/M+Qw5QVt/LWp1dQltc2F+p6uDhxRUI4b988hO1PjOe1GxPpH+bDwo0ZTP33Bi76+xpe/GEfqZnFaK0brMwhyUrU5+Xl1WZ9zZkzh379+lmLzxYVFQFQU1PDzJkziY+PJzExkbVr1561n+3btxMfH0+vXr34y1/+0uDF9mvXrsXX15ekpCSSkpJ47rnnrM8VFRVx/fXX069fP/r378/GjRsBcxmnuu1jYmJISkpqNIbJkyeTlWWuCLNo0SJeeOGFM15fKcW3335rbbviiius72316tUMGjSIpKQkRo8ezaFDh6zbff7558TGxhIXF8ef/vSnRmMwmUz85S9/YcCAAcTHxzN06FDrBdYxMTHEx8db38+vv/5q3a+kpISIiIhGl3xp6vImDRX+bTNNLTpoD7f2Ln7bVA0Vvq27ne63rK36/kXj9YAPB+iL3ovV7y++Tpfn/2aTuIrKa/TnW4/qW97brC949Hsd/ch3+qKXf9IvLtundx0rshYsFZ1Hc4vffrUjU498cbWOeeQ7PfLF1fqrHZltEkf9Aq2t9eOPP1qLwj788MPWgrNvvvmmnjFjhtZa65MnT+pBgwZpo9HYaD9Dhw7Vv/76qzaZTHry5Ml62bJlZ2xzeiHc+m655Ra9YMECrbXW1dXVurCw8IxtHnjgAf3ss882uH9FRYUeOnToKf1t27btjNePjIzUw4cPt7Zdfvnles2aNVprrXv37m39N/73v/9tLZx74MABnZSUpAsKCrTW5s+jMf/73//0ddddZ/2sjh07Zt0vOjpa5+bmNrjfX/7yFz1t2jRrQeLTNbX47tl+N9q9+K1S6qmGbjbIpecNx0YmUzTU3jN8CP/440oWjXmN/q6B/KM8jSlLr2DhFzdQWZDepnH5ejhzw5AoFt42jG1PjOfv1yUQE+TJgvWHufLNXxg7by0v/bDfOvIS9sXWNSHLysq49NJLGTRoEPHx8Xz9tXk5u4yMDPr3788dd9xBXFwcEydOPGtlhokTJ+LkZD6dPmLECDIzMwHYu3evddmQkJAQ/Pz8aOyQ//HjxykpKeHCCy9EKcUtt9zC0qVLm/xeSkpKWLduHbfffjtgLuTr5+d3yjZaaz7//PNTKnHUt3btWi6++GLrtsnJyQwadGYRoMTERHx9fVm5cuUZzymlKCkpAcylnOrWvlqwYAGzZ8/G398fMH8ejTl+/DhhYWE4OJj/e4+MjLTu15jt27dz8uRJJk6c2ODzpy9vUlxcTN++fa1LpEybNo0FCxYwd+5cKisrSUpKYvr06Wd9zZZoySHB8no3IzAFiGnDmM4704ZHNasdYECP8bw9fR0fjXqJ3i6BvFK2n8lLL+e9xddQlrOvzWP083DhD0Oj+Oi2YWx7fDwvXxdPTJAn71qS15h5a3hx2T5SjhVJ8rITtq4J6ebmxldffcWOHTtYs2YNDz74oPV34+DBg8yePZs9e/bg5+fHF1980aQ+33//faZMmQKY/2P/+uuvMRgMpKens3379kYrpGdlZREZGWl9HBkZaT00d7qNGzeSmJjIlClTrBXTDx8+THBwMDNnzmTgwIHMmjWL8vLyU/Zbv349oaGh9O7du8F+f/jhByZPngyYF41MTExstEDvE088wfPPP39G+7vvvstll11GZGQkH3/8MXPnzgXgwIEDHDhwgFGjRjFixAiWL1/eYL8Af/jDH/j2229JSkriwQcfZOfOnac8P27cOJKSkhg+fDhgPoT44IMPMm/evEb7vP766xkyZAiffPIJycnJ+Pr68uabbzJjxgw+/fRTCgsLueOOO3jppZdwd3cnOTmZTz75pNH+WqrZCUtr/Wq92wvAxYCc3DiL56fGc9OI7tYRlaNS3DSiO89PjT/nvgN7Xc67N61n4cgX6e8azOsVh5j43fW8uWgKBcfOXXi0Jfw9XbhxaHc+um0YWx83j7x6Bnnx3i/pXP3vDYx+eQ1/+24v248UdFhFeXFutq4JqbXmscceIyEhgfHjx5OVlWVdnLFHjx7Wcz31lxo5mxdeeAEnJyfrN/PbbruNyMhIhgwZwl//+ldGjhxpHYk1FMvpGkoWgwYN4siRI6SkpHDvvfcydepUAAwGAzt27ODPf/4zO3fuxNPTk5deeumUfRctWtTo6Apgw4YNjB49GjAvLlmXeBty0UUXAViL7tZ57bXXWLZsGZmZmcycOZMHHnjAGt/BgwdZu3YtixYtYtasWdZzfaeLjIwkLS2NF198EQcHBy699FJWr15tfX7NmjUkJyezefNmAN566y0uu+wyoqIa/wLdkAkTJhAfH8/s2bNbtBJ0S7RFLR8PoGcb9HNee35qfJMSVGMG9b6C+b2vYE/GGt7Z+AJv12Ty4arbmWj0ISfvMlYXDSTcz4M5k/q26eQIf0/zyOsPQ6Morqhl5b6T/JB6nI83HuG9X9IJ9XFlclw3Jg8Ia/J1XqJ92PryhE8++YTc3Fy2b9+Os7MzMTEx1iUz6i/F4ejoeM5irQsXLuS7775j9erV1kTj5OTEa6+9Zt1m5MiRjY5uIiMjrYcSwbwGV0NLyfv4+FjvX3bZZdx9993k5eURGRlJZGSkddRx/fXXn5KwDAYDX375Jdu3b2/w9Q8fPkxUVBQuLi4ArFix4pyjyscff9yapAFyc3NJSUmxxnDjjTdaR2yRkZGMGDECZ2dnevToQd++fTl48CBDhw5tsG9XV1emTJnClClTCA0NZenSpY2uyrxx40bWr1/PW2+9RVlZGTU1NXh5eZ2RsE9nMpnYt28f7u7uFBQUnDLCtZWWnMNKVUrtstz2AGnAP8+1n2gbcTHj+Oe0VXw96SNGOvVguVMpW7t9xrioR+lTu4gnv9xus3WrfD2cuX5wJO/NGMq2J8fzzz8mkRTlx6dbjzFtwSaGvbCKR7/cxc8HzFPnRcdqaOFQd2dH5kzq2yb9FxcXExISgrOzM2vWrOHIkSMt6mf58uW8/PLLfPPNN3h4/F71paKiwnpYbuXKlTg5OREbG9tgH2FhYXh7e7Np0ya01nz00UdcffXVZ2x34sQJ62hsy5YtmEwmAgMD6datG1FRUdZzMqtXrz7ltVatWkW/fv0a/U+5/uHA4uJiDAYDgYGBZ33fEydOpLCwkJSUFAD8/f0pLi7mwIED1vdcNwV86tSprFmzBoC8vDwOHDhAz54NjxN27Nhhnc1nMpnYtWsX0dHRjcbxySefcPToUTIyMnjllVe45ZZbGkxWpy9v8tprr9G/f38WLVrEbbfdRm1tLWBeWqXufltryQir/pWtBuCk1rrxlcyETfTsNpDtWQ9QXpZJ/4Al7PM7TFn3TfSp/oVffurHlJjXcfVv/Je0tXzcnLk6KYKrkyIorzawNi2XH3Yf55vkbBZtOYa3mxPj+4cyKa4bY/sE4+7SytqGotnqRtrzfkwju6iScD/3NhmBGwwGXF1dmT59OldeeSVDhgwhKSmJfv36tai/e+65h+rqaiZMmACYJ17Mnz+fnJwcJk2ahIODAxEREees4v6f//yHGTNmUFlZaR1dAMyfPx+Au+66iyVLlvCf//wHJycn3N3d+fTTT60jun/9619Mnz6dmpoaevbsaV0BGeDTTz896+HA5cuXW+shrly5kvHjxzfpvT/++OPWxOrk5MSCBQu47rrrcHBwwN/fn/fffx+ASZMmsWLFCmJjY3F0dGTevHmNJsScnBzuuOMOqqvNl8kOGzas0anq5zJr1izuuusuhgwZYl3exN3dnYULF/Luu++yZcsWvL29GTNmDM8//zzPPvssd955JwkJCQwaNKjNz2M1+8JhAKWUIxBKvYSntT7zyth21lkvHLaVU0ooqWr6+31PbcA2TrqY8Dcauc41gj8Mvpewvle2uuxTU1XVGll/MI8f95xg5d6TFFfW4u7syNg+wUwe0I1x/ULwdXdul1jOR53hwuGUlBTuuOMOtmzZ0qFxdBbV1dWMGjXKOoNx1qxZzJo1q0lrhXU1HVFL8F7gaeAkv9cS1FrrhGZ1ZANdLWE1XKRWExecQq+ItaytOg7AaKMjN3SfyEUjH8bRM7jd4qs1mth8uIAf95zgxz0nyCmtxtk1ILhDAAAgAElEQVRRMaJnIJPiujExNpQQH7d2i+d80NEJa/78+bzxxhu8/vrrjU6BFqIxHZGwDgHDtdb5zdqxHXS1hHWuEkrZhb/xxaa/8+XJTeQpE6EGI1e7R3JN4p1E9r8WHFq04HSLmEya5MwiftxtTl4Z+RUoBQOj/JhoSV49g9uuesL5qqMTVmvMnj2bDRs2nNJ23333MXPmzGb1M3z4cOvhrjoff/wx8fEtn9Rkj1JTU7n55ptPaXN1dbXO/uuMOiJhrQEmdMbzVl0tYYE5aZ3rHEWtqZafUz9myZ6P+bUmF60Uw2vh6m4juHTY/XiENHwi21a01hzMKePH3SdYsfckqVnFAPQO8WJCbCgT47qREOHbaHHersyeE5YQHZGw3gP6At9zavHbfzSrIxvoigmruU4UZfD1ln/w1fH1ZGHAw2RiAp5c2eMyhgyd3a6HDOtkFVWywnLOa3N6AUaTJtTHlfH9Q5kQG8qFFwTi6iSTNsD8B9+vX79GL0gVorPSWrN///52T1hPNxLMs83qyAa6YsJqygirISZtYufhlXyT8g4/lhygXEGIwcgUlxAu63sd/RNnolzb/xBdUUUNa9JyWLHnJD8fyKWixoiXqxNj+wQzITaUcX1D8PXoupM20tPT8fb2JjAwUJKWsBtaa/Lz8yktLaVHjx6nPGfThGULSqn7gVmAxrww5EwgDPgUCAB2ADdrrWvO1k9XS1httQxIZW0FP+/+mO/TlvBL1XEMShFda2SSewRT+t1Ir4Tp4Nz+a2FV1RrZ+Fs+K/aeYNW+HHJLq3F0UAyLCWB8bCjj+4cQHejZ7nF1pNraWjIzM60X6AphL9zc3IiMjMTZ+dQvnHaVsJRSEcAvQKzWulIp9TmwDLgM+FJr/alSaj6QorX+z9n66moJyxZL2RdV5rNq5zssz1jO1pp8TErRo9bABPdIJvSeSt+EW1Bu3q0NvdlMJk1KZhEr955k1b6THDhZBpjPe9Ulr6Qof6m0IYSdsceEtQlIBEqApcC/gE+Ablprg1LqQuAZrfWks/XV1RKWrZeyzys7yarkt1l1ZBVbawswKUVkrYFLXEO4JGYSSUm34ejdrdWv0xJH8stZtS+H1ft+P+8V6OnCuH4hjO8fwujewXi5tkXlMSGELdlVwgJQSt0HvABUAiuA+4BNWuteluejgB+01gMa2PdO4E6A7t27D25peRh7ZIsRVmMKKnL5KeU9fspYyabqHGoV+BuNjFFeXBw2gpEJM/EIS2q3C5TrK66s5ecDuazae5K1aTmUVBlwcXRgeM8AxvcP5ZJ+IUQFeJy7IyFEu7P1pAs34HYgDrBe9am1vq1ZHf3enz/wBXAjUAQstjx++rSEtUxrfdYLLbraCKujlrIvqy7ll73/Y82h71hffoRSpXHWmiEGxRjfvlzU+2qiY68Fl/Y/v1RrNLEto5DV+07y0/4cDueZa9H1CfXikn6hXNo/hIFRfjg5tt81aEKIxtk6YS0G9gN/Ap4DpgP7tNb3NTdQS383AJO11rdbHt8CXAjcgBwSPKeWzhJsK7WmWpLTV/Hzvs9Yn7+bw5YrHaJqDYx09mdU2IUMi5uGZ/jgDhl9Hc4t46f9Ofy0P4ct6QUYTBpfd2fG9gnm0v4hjO0TjJ+HS7vHJYQws3XC2qm1HqiU2qW1TlBKOQM/aq1bdAxKKTUceB8YivmQ4IfANmAM8EW9SRe7tNZvna2vrpiwOptjhb/xy+7/siFrPVuqTlKpwElrEmo1I7y6c2HUOAbE3YhTGxfmbUriLqmq5ZeDeazel8PatBzyy2twUDCwuz+X9AthXN8Q+od5y3RxIdqRrRPWFq31MKXUOuBu4ASwRWvd4jWxlFLPYj4kaAB2Yp7iHsHv09p3Ajdprasb7QRJWJ1NjbGGnekr2XhgKRvzd7HPWI5WCk+TicFGR4b59GJY9Dj69L8WR5+Wjwpbcmi0btbhmv05rEnLtVbb6Objxrh+wVzcN4RRvYJk4oYQNmbrhDUL8zmmBOADwAt4Sms9v7mBtjVJWJ1bUWUBm9O+YGvGajYXHyQD82V13kYTg01ODPHpyeCoMfTrew1OATFN7rctJp/klFSxNi2XtQdyWH8gj9JqA86OiqExAVzcN5hxfUPoFeIloy8h2pjdzRJsK5Kw7MuJkiy2HfiKbcfWsrXkMEcxL/rmbjKRaFQM8ogkKWwoib2vwiN8EDg0XJ6praf31xpNbD9SyJr9OaxNyyXtpHnRugg/d8b2DebiPsGM6hWEp4y+hGg1W4+wXIHrgBhOXQ/ruWZ1ZAOSsOxbTtlxdhz8hu1Hf2ZH8SEOmirQSuGoNb1rjSS6+JMYEEtC94vpfsFklFcQYPvp/dlFlebRV1oOGw7lUV5jtI6+xvYxHz7sEyqjLyFawtYJazlQDGwHrCcNtNavNqsjG5CEdX4prS5hV8YqdqavJKVgL6k1BZRbcoKv0Ui8yZF4j3C8HHrx/f5IUqr6UoUrYLvp/TUGE9syCvj5QC4/H8hl/wnz6Kubjxtj+wQzpk8wo3sFdel6h0I0h60T1u6GLuDtDCRhnd+MJiO/5aay6/ByUo9vZVfZUX4zVaItI5uwWgPdqx3xqw0kKWwglw++Av/uF9r0erDjxZWssySv9QfzKK0y4KAgKcqPsX1CGNMniIRIPykZJUQjbJ2w3gH+pbVObUlwtiQJq+upqK1gb+YG9mSsZnduKnsrj1vPhQF0Mxjor13o7xlG34BY+kWOJCx6LMqr7ZdRMRhNJB8rsiawXVnFaA1+Hs6M6hXEmN5BXNQ7mHC/9i8kLERnZeuEtRfoBaRjXg9LAVprndDcQNuaJCwBUFJdzL5jv7Dv2Dr25u1hX8Vxjuhq60jM22iijxH6uPjTx7cHvUOS6B11ER5hieDk2mZxFJTX8MuhPNYdyGX9wVxOlpivyugV4sVFvYMY0zuY4T0D8HCRyRui67J1wmrwik+tdYcX8ZOEJRpTUVvBoRM72H/0Z9Jyd3Gg7BgHDKVU1DtSF1FroLdy4QLXIC7wu4BeoUnERI7EPTgWnFpXDUNrzYGTZaw7kMu6g7lsTi+gxmDCxdGBwdH+XNQniIt6BRMX7iMrLYsuRaa1iy6nJSWqTNpEVvERDmVu4ODxrRwsPMihqhwyTNUYLDlDaU2EwcgFuNDDLYCe3tH0CIqjR/gwfMOSwM23RfFW1RrZmlHA+oPmEVjd5A1/D2dG9griol5BjO4dRKS/FO0V5zdJWKJLaesiwLWmWo4WHODQsV85nJPC4eLD/FaVyxFTFTX1Bj/+RiMxJkWMkzfRHqHE+Pake/AAosKG4BbUF5zdGn+R0+SUVrHhUB7rD+bxy8E8ckrNhw97BHkyqlcgo3sFc+EFgfi6y+xDcX6RhCW6lPZaZsVoMpJdcoTDmZvIyE0hvfA3MipOkGEoJV+ZrNsprQk1GumunYhy9qK7eyhRPtFEBfUnKnQgniGx4Nr4Iphaaw7llJmT16E8Nh3Op6LGiIOC+Eg/RvcKZFSvIAZH++Pq1PDF1ELYC0lYokux9UKWTVFWU8aR3N0cOb6dI/n7OFZ6lCOVuWQayylQp0bnbzQSaYJIBw8iXP2J8AonwrcHEYH9COuWhLN/j1Mmf9QYTKRkFrH+YB6/Hspj57EijCaNq5MDQ2MCGNUriFG9AokL95Xp88LuNCdhyfQkYffC/dwbHGG15/RxLxcv4iJGEBcx4oznymrKOJa3l6Mnd5KZn0Zm6VGOVeSQaihlZe0JDEUnoGgHHDGPzoKNRsK1A2GOHoS7+BHu2Y1uPt25MqgXd/aPRXsOYXO2iQ2H8/n1UD4vL98PgI+bExdeYB59jbwgkAuCpfqGOL/ICEvYvY5ayLKl6k8QCfNz4c6L/YkLyiE7by9ZRb+RXZbN8ep8sg3lnNAG6wSQOl4mE92MJropF0KdPAly9sPR5E9ppT+HC31JLw7ipDEUF69gRvYKYuQFQVx4QaCsuiw6JTkkKLqcjl7IsqmW7sxizuIUak2//905Oyjm3ZDYYLxGk5H8ilyy8/ZxPG8vJ4oPc6I0mxNVuZyoKeGkqfqU82d13E0mQowm/AwKd4MzLgZ3XPEhyCOU6MBo4rv3p1dELB7+MeDm1yGLawoBkrA6OgwhGpX07AqKKmvPaPdzdyb56Ykt6rPGWENOWTY5+fs5WXCQk8UZnCw/QU5lHjk1JeQYK8nDeMoMxzoeJhNBRhNBOBLk4EaQsxeBrr4EugUS6BlKoFcEgX7RBPpdgKtvBLj6SHITbUrOYQnRSTWUrM7W3hQuji5E+sYQ6RsDPSc3uI3WmpKaEk4UprPrcCr7svaTWXiUwqpcDA5l5DtVke1US5khnzJTPlQehsJT+/AymQgwmgjAEX8HFwKcPAhw9sLf1Q9/t0ACPEPw9wrH3ycKf99oXL3DzNepNZLg7GVULDoPSVhCdAFKKXxdffHtlkTfbknWdoPRxO7sEjb+ls+mw/lsTS+gorYKJ8diYoNL6BdURrBnCe7OxZQbCsmvKqSgtpxMYyW7TCUUVRdjrMmCUiD31Nd0N5nwM5nw0w74KSf8HFzxc/LAz8WLmmp30k5o+hg9ifbwpaLCjwVLd+NSMYrLhsU16xo20XXIIUEh2tHA51ZQWHHmaMrfw5mdT7XskGBbqjWa2JVZzOb0fDYdLmBbRgEVNebJLL1CvBjRM4DhPQIZ3jOAEG83TNpEaU0pBaVZFBZlUFiaRWH5cQrLcyiqLqSoupjCmlKKjVUUmWooxEDpWY4oKq3xNpnwNYEPCl/ljI+DCz5O7vg4eeDt4oWPiy8+bv54uwfg4x6Ij2coXp4heHmF4ewRCC5ectjSjsg5LCE6qaU7s5izJIVaY71JF46Kedc3POmio9UaTaRmFbP5cAGbDuezLaOAcksC6xnkyfCeAQzrYU5iTb2MwGAy0PvJJbg7FuPtmIenYzGuTsW4OJbg6FjO4B6ulNSUUWwop9RYTYmphmKMlGLCcI5E5G4y4W3SeGnwUo54Kye8HJzxcnDFy8kdL2cPvJy98HLxwcvVB09XP7zdA/Fw98fLPQhPjyDcPYJxcPMBJzdJfO1AEpYQnZg9n7upO4S4JT2fzYcL2JJRQGmVAYBIf3dL8jInsOhAj0avA2tJdRKtNZWGSkoq8ykpO0Fp2XFKK3IpqciltKqI0uoiSmtKKKsto7S2klJjJWWmGspMtZRipBxNVRPyj9IaD63xNGk8AU8c8MQRDwdnPByc8XR0xdPRDQ8ndzycPfBw8sDDxRsPFy88XH3wcPXF3dUPDzc/3N0C8HAPwNnNF+XqDY5SWut0krCEEO3CaNLsO17ClvQCNqfnszWjkILyGgCCvV2tCWxoTAB9Q72tleg76tq5WlMt5dVllFbmUVGeS1llHmUVuZRXFVFWXURZdTHlNWVU1JZRbqikzFBJhbGaclMN5dpAhTZSqY2UK011M0ZfjlrjrjXuJo074IED7jjgphxxd3DCXTnh5uCCu6ML7o6uuDm64ebkhruTB27OHrg5u+Pm7GW+uXji5uqNm4uP+ebmi5ubH04uXihnD3NStKORoSQsIUSH0FrzW24Zmw4XsDWjgC3pBRwvrgLMlTiGxJiT17Ae/qTnlvPaqoN2OdIE86HNSkMl5VVFVFTkUllZSEVVERXVhVRWl1BRXUJFTRmVteVUGiqoqK2g0lhFpbGaSmMNlaYaKrWBSpOBSoxUaU2V0lSiMbYg4ThojavWuGmNqwY3FK4oXHHAVTngqhxxU064OjjiqpxwdXTB1cEZVwcXXB1dcHFyM7c5uuHi5I6LoyuuTu64OLvj6uyBi5MHLs4euLh4ENxtIB7e4W3yOUrCEkJ0ClprMgsr2ZphTmCb0ws4nFsOgKuTA4lRfgyLCWBIjD+Dov3xcZNDZlprSzKsoKq6jMqqfKqqS6mqLqaquoTqmjIqa0qpqi2nuraCSkMF1bWVVBkqqTJWUW2socpYTY2plipTLdUmA9XaQLU2Uq2NVGGiRmuq0FQrTQ1YFzdtqn9cMI0Jox9rk/crCUsI0WnllVWzLaPQmsT2ZJdgNGkcFPTt5sPQGH/LSMyfMN/2qwfZVdUlyCpjFTW1FdRUl1BVXWK+X1NGdW05NbXl1NRWsivzJJsPZ5OWn4irV782GRVLwhJC2I3yagPJx4rYkl7A9iOF7DhaaJ1KH+HnzpAYf4ZE+zM4OoC+3bylIn0HsdV5R7urdKGU8gPeBQYAGrgNSAM+A2KADOAPWuvCRroQQtgpT1cnyxIpQYB5JuLe4yVsyyhk+5FCNv6Wz9fJ2QB4uzqR1N2PIdEBDI72J6m7H16uneK/sfPevB/TTklWAJW1Rub9mNZu5x47y7/0P4HlWuvrlVIugAfwGLBaa/2SUmouMBd4pCODFEK0ncam9zs5OpAQ6UdCpB+3je5hPQ+27UiBNYm9vvoAWoODgn7dfBgc7W8+D9bdn0h/d1lWxQayG7gM4WztttDhCUsp5QOMAWYAaK1rgBql1NXAxZbNFgJrkYQlxHnh9MNLWUWVPPplKsAZ39aVUkQFeBAV4ME1AyMBKKmqZefRIrZnFLD9aCFf7Mjk401HAPN0+sHd/RkU7ceg7v4MiPDFzVlWZm4tX3fnBmte+rq330SZDk9YQE/MVcg+UEolAtuB+4BQrfVxAK31caVUSEM7K6XuBO4E6N69e/tELIRoldYeXvJxc2Zsn2DG9gkGzIcR006Wms+BHSlkx9Eilu85AZgricSF+zKoXhJrz8U9zxeNDVrbczDbGRKWEzAIuFdrvVkp9U/Mh/+aRGv9DvAOmCdd2CZEIURbaqjKxdnaz8XJ0YG4cF/iwn255cIYAHJLq9lx1DyJY+eRIj7ZfIT3N6QD0M3HjYHd/RjYXUZhTVXUQA3Ms7XbQmdIWJlAptZ6s+XxEswJ66RSKswyugoDcjosQiFEm3JUCmMDM5Qd2/DrerC3K5PiujEprhtgrou473iJdQS281ghP+w2j8KcHBSx4T4MjPJjYHd/Bnb3o3tA46WluqJwP/cGv1C052i1wxOW1vqEUuqYUqqv1joNuBTYa7ndCrxk+fl1B4YphGhDDSWrs7W3Bed6kzlmjDK35ZZWs/NoIcnHith5tIjF2zNZuNF8LizA04XESF8GdvcnKcqPxCi/dj1f09nMmdS3wWntcyb1bbcYOjxhWdwLfGKZIXgYmAk4AJ8rpW4HjgI3dGB8Qog2FNHIt/WIdj63FOztysS4bky0jMKMJs2Bk6WWBFbIzqNFrD2QS10e7RnsSVKkH0nd/UiK8qNfNx9cnBzaNeaOUndusSMLN8uFw0KIdtdRxW9boqSqltTMYusoLPlYEXll1QC4ODkQG+ZDUpSfdRQWc5Yq9eJMUulCCNHp2esyK1prsourSD5aREpmEclHi0jNKrYmX193ZxIifUmM9DP/jPIj1EdWUG6MJCwhhGhHBqOJQ7llpBwzj8BSjhWTdrIUo8n8/2uojyuJkeYRWEKkL/ERvvh5uHRw1J2D3ZVmEkIIe+bk6EC/bj706+bDjUPN14NW1hjZe7yYlGPF7MosIiWzmBV7T1r3iQ70ID7CPBKLj/RlQISvlJk6B/l0hBDCBtxdHBkcHcDg6ABrW3FFLalZxaRkFrEr03xO7LtdxwHzBbgXBHuREGFOXgmRvsSG++DhIv9N15FPQggh2omvhzOjewcxuneQtS23tJrUrCJSM0tIzSpi/aE8vtyZBZhrJfYK8SI+wo/4CB/iI32JDfPF3aVrXuQs57CEEKKTOVlSRWpmMbuyiknNLCI1q8Q6M7EuiQ2I8GVAuK8lifngaaeHE+UclhBC2LFQHzdCY90YHxsKmGcmniypZldmEbuzitmdXcL6g3l8ucM8ElMKegZ5WpNYXIQPceG+592FzpKwhBCik1NK0c3XjW6+v1/kDOaR2O6sYlKzitmdVcKW9ALr2mEA3QM8GGBJXnHh5p/B3q4d8RbahCQsIYSwU6E+boT6uHFp/1BrW35ZNbuzS9iTXcyerBJSs4pZlnrC+nyIt6s1edX9jAqwjzXEJGEJIcR5JNDL9ZSlV8BcrWNvdgm7s4rZm13CnuwS1h3Ms14n5u3qRP9wH2LDfIgL9yE23IfeId6druyUJCwhhDjP+bg5M6JnICN6BlrbqmqNpJ0oZe9xy2gsu4TPth6zVuxwdlT0CvEmNsycwGLDzDdfj447LyYJSwghuiA3Z0cSLfUP6xhNmoz8cvZkl7DveAl7s0tYdzCXL3ZkWreJ8HPn+akDGNevwTV1bUoSlhBCCAAcHRQXBHtxQbAXVyWGW9tzSqvYd7zUmsRCfDpm4oYkLCGEEGcV4u1GiLfbKefFOkLnOqMmhBBCNEISlhBCCLsgCUsIIYRdkIQlhBDCLpxXxW+VUrnAkTbqLgjIa6O+2oPEazv2FCtIvLZkT7GCfcQbrbVu0myO8yphtSWl1LamVhDuDCRe27GnWEHitSV7ihXsL95zkUOCQggh7IIkLCGEEHZBElbj3unoAJpJ4rUde4oVJF5bsqdYwf7iPSs5hyWEEMIuyAhLCCGEXZCEJYQQwi50yYSllJqslEpTSh1SSs1t4HlXpdRnluc3K6Vi6j33qKU9TSk1qTPHq5SaoJTarpRKtfy8pLPGWu/57kqpMqXUQ7aOtbXxKqUSlFIblVJ7LJ+xW2eNVynlrJRaaIlzn1Lq0U4Q6xil1A6llEEpdf1pz92qlDpoud1q61hbE69SKqne78EupdSNnTXWes/7KKWylFJv2jrWNqW17lI3wBH4DegJuAApQOxp29wNzLfc/yPwmeV+rGV7V6CHpR/HThzvQCDccn8AkNVZY633/BfAYuChTv674ATsAhItjwM7+e/Cn4BPLfc9gAwgpoNjjQESgI+A6+u1BwCHLT/9Lff9O8Fn21i8fYDelvvhwHHArzPGWu/5fwL/A9605efa1reuOMIaBhzSWh/WWtcAnwJXn7bN1cBCy/0lwKVKKWVp/1RrXa21TgcOWfrrlPFqrXdqrbMt7XsAN6WULReyac1ni1JqKub/nPbYMMa2incisEtrnQKgtc7XWhs7cbwa8FRKOQHuQA1Q0pGxaq0ztNa7ANNp+04CVmqtC7TWhcBKYLINY21VvFrrA1rrg5b72UAOYMt1OFrz2aKUGgyEAitsGKNNdMWEFQEcq/c409LW4DZaawNQjPkbdFP2bWutibe+64CdWutqG8V5ShwWTY5VKeUJPAI8a8P4Tteaz7YPoJVSP1oOvTzcyeNdApRj/vZ/FHhFa13QwbHaYt+WapPXVEoNwzzq+a2N4mpIi2NVSjkArwJzbBCXzXXFBRxVA22nz+1vbJum7NvWWhOv+Uml4oCXMY8KbKk1sT4LvKa1LrMMuNpDa+J1AkYDQ4EKYLVSarvWenXbhtikWJqyzTDAiPmQlT+wXim1Smt9uG1DPGcctt63pVr9mkqpMOBj4Fat9RkjmzbUmljvBpZprY+1499Zm+mKI6xMIKre40ggu7FtLIdQfIGCJu7b1loTL0qpSOAr4BattS2/9bU21uHA35VSGcBfgceUUvd04ngzgZ+11nla6wpgGTCoE8f7J2C51rpWa50DbABsWWOuNX8rnfXvrFFKKR/ge+AJrfWmNo7tdK2J9ULgHsvf2SvALUqpl9o2PBvq6JNo7X3D/M34MOZJE3UnLONO22Y2p564/txyP45TJ10cxvYn2lsTr59l++s6+2d72jbP0D6TLlrz2foDOzBPYHACVgGXd+J4HwE+wPzt3BPYCyR0ZKz1tv2QMyddpFs+Y3/L/YCO/mzPEq8LsBr4q61/Z1sb62nPzcDOJl10eAAd8qbhMuAA5uPMj1vangOustx3wzxT7RCwBehZb9/HLfulAVM6c7zAE5jPWyTXu4V0xlhP6+MZ2iFhtcHvwk2YJ4jsBv7emeMFvCztezAnqzmdINahmEcL5UA+sKfevrdZ3sMhYGYn+WwbjNfye1B72t9ZUmeM9bQ+ZmBnCUtKMwkhhLALXfEclhBCCDskCUsIIYRdkIQlhBDCLkjCEkIIYRckYQkhhLALkrCEaCWllJ9S6u56j8OVUkts9FpTlVJPtWF/r7RHFX8h2oJMaxeilSxLeHyntR7QDq/1K+ZrbfLaqL9oYIHW2tZlu4RoNRlhCdF6LwEXKKWSlVLzlFIxSqndAEqpGUqppUqpb5VS6Uqpe5RSDyildiqlNimlAizbXaCUWq7M65atV0r1O/1FlFJ9gOq6ZKWUukEptVsplaKUWmdpc7TEsNWyNtP/q7f/w5b1sFLqyvForY9gLj7czeafkhCt1BWL3wrR1uYCA7TWSWAdcdU3APPaZG6YKzc8orUeqJR6DbgFeB14B7hLa31QKTUceAs4/VDdKMzloOo8BUzSWmcppfwsbbcDxVrroZalZDYopVYA/YCpwHCtdUVdorTYYen7ixZ/AkK0A0lYQtjeGq11KVCqlCoGvrW0pwIJSikvYCSwuF4F7YbWLQsDcus93gB8qJT6HPjS0jbR0mfdKrO+QG9gPPCBNhfqRZ+6tEgO5iruQnRqkrCEsL36a5CZ6j02Yf4bdACK6kZoZ1GJOQEBoLW+yzIauxxIVkolYS5ue6/W+sf6OyqlJtP4EhRulr6F6NTkHJYQrVcKeLd0Z611CZCulLoBQJklNrDpPqBX3QOl1AVa681a66eAPMxLTvwI/Fkp5WzZpo9lccwVwG1KKQ9Le/1Dgn0wF/AVolOThCVEK2mt8zGfK9qtlJrXwm6mA7crpVIwV1S/uoFt1gED1e/HDedZJlHstjyXAryLuRr7Dkv724CT1no58A2wTSmVDDwEYElsvYBtLYxbiHYj09qFsCNKqX8C32qtV7VRf9cAg7TWT7ZFf0LYkoywhLAv/4d50ci24gS82ob9CWEzMsISQghhF2SEJYQQwi5IwhJCCGEXJPOt2m0AACAASURBVGEJIYSwC5KwhBBC2AVJWEIIIeyCJCwhhBB2QRKWEEIIuyAJSwghhF2QhCWEEMIuSMISQghhFyRhCSGEsAuSsIQQQtiF82rF4aCgIB0TE9PRYQghhGii7du352mtg5uy7XmVsGJiYti2TdahE0IIe6GUOtLUbeWQoBBCCLsgCUsIIYRdkIQlhBDCLpxX57CEON/9f/buO67q6n/g+OtwuWwU9wAVnDhYKu5MI1eZmvOn5tZypWaZoyyzHZZimX21NDPScoQrV6WZEwfgVhwow8G87HnP74+LN1BU1IuAnufj8Xl072ecz/vSlTfn8zmf887KyiIiIoL09PTiDkVRHoiVlRVOTk5otdqHbkMlrNsEBEXiu/0cUQlpVHewZlqXBvTycizusBQFgIiICOzt7XF2dkYIUdzhKEqhSCmJjY0lIiICFxeXh25HXRLMIyAokpnrTxCZkIYEIhPSmLn+BAFBkcUdmqIAkJ6eToUKFVSyUkoVIQQVKlR45CsDKmHl4bv9HGlZOfnWpWXl4Lv9XDFFpCh3UslKKY1M8b1VCSuPqIS0B1qvKIqiPD4qYeVR3cH6gdYrytNo4cKFNGzYkMGDB99zPzs7OwDCwsJo0qRJkcd163yPuo9ScqmElce0Lg3QmuXvtmrNBNO6NCimiBSl5Pn222/5448/8Pf3L+5QlKeMSli3u/0yq7pdoChGY8eO5dKlS/To0YP58+czZ84c5s2bZ9zepEkTwsLCCtXW7t27efbZZ+nfvz/169dnxowZ+Pv706JFC9zc3Lh48SIAV65cwcfHB3d3d3x8fLh69SoAly9fpnXr1nh7ezN79ux8bfv6+uLt7Y27uzvvv/++aT68UuzUsPY8fLefIytH5luXlSPx3X5ODW1XSp4pUyA42LRtenrCggV33fzdd9+xbds2du3aRcWKFZkzZ84jnS4kJIQzZ85Qvnx5ateuzejRowkMDMTPz4+vv/6aBQsWMHHiRIYOHcqwYcNYtmwZkyZNIiAggMmTJzNu3DiGDh3KokWLjG3u2LGD0NBQAgMDkVLSo0cP9uzZQ/v27R8pVqX4qR5WHmrQhaI8Xt7e3lSrVg1LS0vq1KlD586dAXBzczP21A4cOMCgQYMAGDJkCHv37gVg3759DBw40Lj+lh07drBjxw68vLxo2rQpZ8+eJTQ09DF+KqWolJgelhBCAxwBIqWU3YUQLsBqoDxwDBgipcwsyhiqO1gTWUByUoMulBLpHj2hx8Xc3By9Xm98/6DP2VhaWhpfm5mZGd+bmZmRnZ1d4DF5h0cXNFRaSsnMmTN57bXXHigWpeQrST2sycCZPO8/B+ZLKesB8cCoog5gWpcGWGs1+dYJ4I3n6xX1qRWlVHJ2dubYsWMAHDt2jMuXL5v8HG3atGH16tUA+Pv7065dOwDatm2bb/0tXbp0YdmyZSQnJwMQGRnJzZs3TR6X8viViIQlhHACXgS+z30vgOeAtbm7rAB6FXUcvbwc6dPMEU3uX21mgAQuxqQU9akVpVTq06cPcXFxeHp6snjxYurXr2/ycyxcuJDly5fj7u7OypUr8fPzA8DPz49Fixbh7e2NTqcz7t+5c2cGDRpE69atcXNzo2/fviQlJZk8LuXxE1LK++9V1EEIsRb4FLAH3gKGAwellHVzt9cAtkop7/kwR/PmzeWjFHC8NTVT3tkuNEKgl5JVr7aiVe0KD922opjCmTNnaNiwYXGHoSgPpaDvrxDiqJSyeWGOL/YelhCiO3BTSnk07+oCdi0wswohXhVCHBFCHImOjn6kWAqamilHSszMBFNWBxOXUqS30BRFUZR7KPaEBbQFegghwjAMsngOWAA4CCFuDQpxAqIKOlhKuURK2VxK2bxSpUqPFEje0YAZNy6RccPwHEiOXhKXksnU34LR64u/R6ooivI0KvaEJaWcKaV0klI6A/8H/C2lHAzsAvrm7jYM2FDUsdwaDajPzuSG/zRu+E8nO1WHo4M1s7s3ZPe5aP6351JRh6EoiqIUoNgT1j1MB6YKIS4AFYAfivqEt0YJmmm01KrpiczOJH6TL1N96vBKq1q84FaVeTvOcSQsrqhDURRFUW5TohKWlHK3lLJ77utLUsoWUsq6Usp+UsqMoj5/Ly9HPu3txisRh7l88RCvNH6G1LBgdq3wRQjBZ33ccXSwZuIvQcQkF3k4iqIoSh4lKmGVBL28HPloxWz4v/9j5cl/GOThwaJFi/j8888pY6Xl28FNiU/NZOIvx8jO0d+/QUVRFMUkVMIqiLk5rFwJgwfzVUgIrhUr8tJLLwHQxLEsn7zsxsFLcXy+7WwxB6oopdePP/7IxIkT77tPVNR/461Gjx7N6dOnizo0pYRSCetuzM1hxQqqDB3KmZgYGq1aRUx0NCEhIfRp5sTQ1rVY+u9lNoUUOHhRURQTuD1hff/99zRq1KgYI1KKk0pY96LRwLJlMGoU8qOPaFanDt7e3ly4cIF3X2xEs1rleHvtcU5HJRZ3pIryWPXq1YtmzZrRuHFjlixZAhiKI77zzjt4eHjQqlUrbty4AcCmTZto2bIlXl5ePP/888b1tyQlJeHi4kJWVhYAiYmJODs7s2bNGo4cOcLgwYPx9PQkLS2NDh06cGtygG3bttG0aVM8PDzw8fF5jJ9eKS4lZvLbEkujgSVLELa2vL1wIVOEYODAgezatYvFg5vS45t9jF5xmA0T21HJ3vL+7SmKiXyw6ZTJ/1hqVL0M77/U+L77LVu2jPLly5OWloa3tzd9+vQhJSWFVq1a8fHHH/P222+zdOlS3n33Xdq1a8fBgwcRQvD999/zxRdf8OWXXxrbsre3p0OHDmzZsoVevXqxevVq+vTpQ79+/Vi0aBHz5s2jefP8EyFER0czZswY9uzZg4uLC3FxauTu00D1sArDzAwWLGDCzJmsk5JjR4/Sq0cP7Mz1LB3anLjUTF5beYT022bJUJQn1cKFC409qfDwcEJDQ7GwsKB79+4ANGvWzFgeJCIigi5duuDm5oavry+nTp26o73Ro0ezfPlyAJYvX86IESPuef6DBw/Svn17XFxcAChfvrwJP51SUqkeVmEJAZ98Qg87O7555x3G79pFqxYtOH7yJF/282TCL8eYtf4EX/b3KLDkgaKYWmF6QkVh9+7d/Pnnnxw4cAAbGxs6dOhAeno6Wq3W+N3XaDTG8iCvv/46U6dOpUePHuzevbvAoo9t27YlLCyMf/75h5ycHJo0uee0oUgp1b+zp5DqYT2oWbMY9+239Adm5+SATseL7tV44/n6rA+K5NvdF4s7QkUpUjqdjnLlymFjY8PZs2c5ePDgffd3dDRU7F6xYsVd9xs6dCgDBw7M17uyt7cvcKb11q1b888//xjLmahLgk8HlbAexrhx/LpqFf0uXCCzfXu++eQTXn+uDj09q+O7/RwBQZHFHaGiFJmuXbuSnZ2Nu7s7s2fPplWrVvfcf86cOfTr149nnnmGihUr3nW/wYMHEx8fb6wiDDB8+HDGjh1rHHRxS6VKlViyZAm9e/fGw8ODAQMGPPoHU0q8ElFexFQetbzIA9u2jWkvvcS87Gz6de3Kyk2bGbYskKNX4lkxogVt6t79H6eiPIwnubzI2rVr2bBhAytXrizuUJQiUurLi5RqXbvy8a5dNNZoWLNtG7/M/YD/DWmOcwVbXlt5lHPXVdE4RSmM119/nRkzZjB79uziDkUpwVTCekQW7dpxNDiYLlZWjP7wQ+YO6s+PI1tgbaFh2LJAIuJTiztERSnxvv76ay5cuFAkFYuVJ4dKWCZg2aQJ60+doq6lJV8FBHBi9tusGNmC1Mxshv4QqCbKVRRFMQGVsEzEpnZtDl+6hF+jRnT95hsazv+IZcOaE6VLY/jyQJLSs4o7REVRlFJNJSwTKlO9OpNCQmDcOKb7+jKvvSff9mnM2WtJjF6hHixWFEV5FCphmZq5OVkLFrDawYFfIyIIeaktX3WuRWBYHK+uPKqSlqIoykNSCasIaC0sOBUezjONGjE1IoKIl9sxrLpgz/loXGdvo82nf6lntRRFUR6QSlhFxM7Ojh1Hj9KjQwcmJCTw66TuNIg4A0CULp0Z646rpKWUSgsXLqRhw4YMHjz4nvvZ2dkBEBYWdt+plkzh1vkedp+wsDCEEHz99dfGdRMnTuTHH3+8Z5tz5szB0dERT09P45KQkFDouJXCUwmrCFlZWbF2xw7KVq2N3tyCLf7T6HDR8GBzeraeL1QBSKUU+vbbb/njjz/w9/cv7lBMrnLlyvj5+ZGZmflAx73xxhsEBwcbFwcHhyKK8OmmElYR02q1OAz1Qz9pFevdnmfk2jl0PrAGMPS0MrLVPS3l4XXo0MHYA8jKyqJDhw78/PPPAKSmptKhQwd+/fVXwDCnX4cOHVi/fj0AMTExdOjQgU2bNgFw/fr1+55v7NixXLp0iR49ejB//nzmzJnDvHnzjNubNGlinKX9fnbv3s2zzz5L//79qV+/PjNmzMDf358WLVrg5ubGxYuGeTmvXLmCj48P7u7u+Pj4cPXqVQAuX75M69at8fb2vuOBY19fX7y9vXF3d+f9998vVDxgmPLJx8enwDkPly5dire3Nx4eHvTp04fU1Hs/Y/nVV18xcuRIAE6cOEGTJk1ITU1lzpw5DBkyhOeee4569eqxdOnSQsf3tCv2hCWEsBJCBAohQoQQp4QQH+SudxFCHBJChAohfhVCWBR3rA/LsZwNWVoLprYbTAcE/ntWMHK34R/EuJ+PqYEYSqnx3XffUb16dXbt2sUbb7zxyO2FhITg5+fHiRMnWLlyJefPnycwMJDRo0cbL81NnDiRoUOHcvz4cQYPHsykSZMAmDx5MuPGjePw4cNUrVrV2OaOHTsIDQ0lMDCQ4OBgjh49yp49ewod04wZM/jyyy/Jycn/77J3794cPnyYkJAQGjZsyA8//GDcNn/+fOPlwI4dOwIwZcoULly4wO+//86IESP43//+h42NDQDHjx9ny5YtHDhwgLlz5+arqqzcXUkoL5IBPCelTBZCaIG9QoitwFRgvpRytRDiO2AUsLg4A31Y07o0YOb6E6SVqYR9q74kHlzDxsPrmZaZhC8TGb3iCP8b0gxby5Lwv0MpTXbv3m18rdVq8723sbHJ975s2bL53lesWDHf+7y/9B8Xb29vqlWrBkCdOnXo3LkzAG5ubuzatQuAAwcOGHuFQ4YM4e233wZg3759rFu3zrh++vTpgCFh7dixAy8vLwCSk5MJDQ2lffv2hYrJxcWFFi1a8Msvv+Rbf/LkSd59910SEhJITk6mS5cuxm1vvPEGb731Vr79zczM+PHHH3F3d+e1116jbdu2xm09e/bE2toaa2trOnbsSGBgIL169SpUfE8zk/6GFEKUA2rkbVdKeexex0jD7LvJuW+1uYsEngMG5a5fAcyhlCasXl6G0gq+288hnh1GtbpNOPHbJ3xy8i86RJ5n/wg/Xvn+IMtHtMDBptR2JJWnkLm5OXq93vg+PT39gY63tPyvSreZmZnxvZmZmbGe1u3y1sEqqCaWlJKZM2fy2muvPVAsec2aNYu+ffvmS3LDhw8nICAADw8Pfvzxx3zJ/m5CQ0Oxs7O7owd1e9yqtlfhmOySoBDiQ+A4sBD4MneZd8+D/jtWI4QIBm4CO4GLQIKU8tY3NgJwvMuxrwohjgghjkRHRz/ipyg6vbwc2TfjOS5/9iJnV77Hnj3/EGtmxnZdJAvWfsSpK7EMWLSXm4kP9g9eUYqTs7Mzx44Z/iY9duyYsT6VKbVp04bVq1cD4O/vT7t27QBD0ce862/p0qULy5YtIznZ8HdwZGQkN2/efKBzurq60qhRIzZv3mxcl5SURLVq1cjKyirUgBOdTsfkyZPZs2cPsbGxrF271rhtw4YNpKenExsby+7du/H29n6g+J5Wpuxh9QfqSCkfbHgNIKXMATyFEA7A70BB9RMKrIMipVwCLAFDeZEHPffjEhAUie/2c0QlpFHdwZppXRpw5swZLCwscNyxA7MP5/BW97fou+BvVox/FpeKtsUdsqLcV58+ffjpp5/w9PTE29u7SCavXbhwISNHjsTX15dKlSqxfPlyAPz8/Bg0aBB+fn706dPHuH/nzp05c+YMrVu3BgxD2X/++WcqV678QOd95513jJcVAT788ENatmxJrVq1cHNzy1dYcv78+cbBLgABAQHMnTuX8ePHU79+fX744Qc6duxo7LG1aNGCF198katXrzJ79myqV6/+4D+Yp5DJ6mEJIdYB46SUD/anzJ3tvA+kAtOBqlLKbCFEa2COlLLLvY597PWwCikgKNJwDyvP4AprrYZPe7vRy8uRmzdvUsfFBW1mFk4jvsW8QiWWjX0Gz1rlizFqpSR6kuthPS3mzJmDnZ3dHfe8ngYlqR7Wp0CQEGK7EGLjreV+BwkhKuX2rBBCWAPPA2eAXUDf3N2GARtMGOtj5bv9XL5kBZCWlYPv9nMAlC9fno4+PsRnZ1Fhy1ysrl1h4Dd7+OvAufu2HRAUSdvP/sZlxhbafva3ehhZUZQnlikvCa4APgdOAPr77JtXNWCFEEKDIYH+JqXcLIQ4DawWQnwEBAE/3KuRkiwqIe2e683Nzdm4cSOLFy9m0qRJVNs8F0vHZoxmAnPPhjFkRMEdy9t7bpEJacxcfwL4b6CHoij5nThxgiFDhuRbZ2lpyaFDhx7L+efMmfNYzvMkMmXCipFSLnzQg6SUxwGvAtZfAlqYIrDiVt3BmsgCklZ1B+t878eNG4ebmxtdunQh6/Tf9HVtyWxNSy5O/x+zPxiOxsoy3/736rmphKUoBXNzcyM4OLi4w1AegikvCR4VQnwqhGgthGh6azFh+6XWtC4N0GryD1vVagTTujS4Y9927dpx7tw5/t27l5U/TGdg/HG+T7Ji9MRvSTp5Jt++9+u5KYqiPElM2cO61UtqlWfdreeplNvHttxjrIuTkxNOTk7o9XrW7/6Ra6EX2Nbnffr47WaJ+z6cJ44CIQrdc1MURXkSmKyHJaXsWMCikhWGS3dZ+vwZKksvjYMu7sbMzIyJEyeiMdeQtnMBF+Ij6XHRnj0Dx8H160zr0gBrrSbfMdZaTYE9N0VRlNLOZD0sIcR7Ba2XUs411TlKq0e5dPf666/TqVMn+vXrx8l1H2NTvjqDes7kvYHTGDOuB/Ruc8fzXer+laIoTyJT3sNKybPkAN0AZxO2X2rd7RJdYS/dubq6EhgYSO/evUnX3cDDOplPWv4f41cF4fPFDPaN8eDyZy+yb8ZzKlkpRU7Vw8ovbz2sJk2asHFj/qd5PDw8GDhw4H1jU+7PlJcEv8yzfAx04C7TKT1tTHHpztramnXr1hERHs7mb6bzVocarLp2nm5aL8617Qy//27qsBWlQKoe1p1u1cNas2YNI0eONM6veObMGfR6PXv27CElJaUoQn6qFOX04DZA7SJsv9TIO/nto166uzWzdVLQFnSH1nH47F66D/qcT9/7hr6rVsE338ADTkGjlF4dOnS4Y13//v0ZP348qampvPDCC3dsHz58OMOHDycmJoa+ffvm23a/CV3z1sMaOXIkOp0u36wNTZo0YfPmzTg7O9839t27d/P+++9TpUoVgoOD6d27N25ubvj5+ZGWlkZAQAB16tThypUrjBw5kujoaOPUTDVr1uTy5csMGjSI7Oxsunbtmq9tX19ffvvtNzIyMnj55Zf54IMP7hsPGOphtW3blhUrVjBmzJh825YuXcqSJUvIzMykbt26rFy50lgu5JaGDRtibm5OTEwMlStX5pdffmHIkCGcOXOGjRs3qp7WIzLl5LcnhBDHc5dTwDnAz1Ttl3Z5J781xaW76dOnM3nyZGRaPBH+Uxnr7MWklOqkuHvBzz+DiabcUpS8VD2sguth3XLo0CHMzMyoVKkSAL/++isDBgxg4MCBrFq16oF/Pkp+puxhdc/zOhu4kWe2dcXEzMzMWLBgASNHjmTo0KGEbP6Sb23LcWL4V3z95vs0+flnWLwYXFyKO1SlCN2rR3R7Pazb3V4Pqzg8KfWwbk1+a29vz6+//ooQgsOHD1OpUiVq1aqFk5MTI0eOJD4+nnLlyj3Uz0oxYcKSUl7JnV6pSm671YUQSCmvmuocyp3c3d0JDAxkzJgxWFdyIqicE72GzmPqwdWMbeKG2QdzYPJk0GqLO1TlCaTqYRkUVMBx1apVnD171nh5NDExkXXr1jF69OiHjutpZ8pLgq8DNzDUs9qSu2y+50GKSVhYWLBixQq+m/cx26a0J2XTh0wM3ESXbhO4NvczaN4cDhwo7jCVJ5Cqh1UwvV7PmjVrOH78OGFhYYSFhbFhwwZ1WfARmXJY+2SggZSysZTSLXdxN2H7SiGUtTan+zPNICudv7d8i3f7V1hXpi6yTRt49VWIjS3uEJUnSJ8+fYiLi8PT05PFixcXWT2s5cuX4+7uzsqVK/HzM9wa9/PzY9GiRXh7e6PT6Yz7d+7cmUGDBtG6dWvc3Nzo27dvvtpVhfXOO+8QERFhfH+rHlanTp1wdXW957F79uzB0dERR8f/7lW3b9+e06dPc+3atQeORTEwZT2sXUCn4rxvVVLrYRWlggpD9vJy5OzZswwZPpIjhw5gZmVHm2f7sn7/RippgU8+gdGjQaO5b/tKyaLqYSmlWUmqh3UJ2C2EmCmEmHprMWH7ym1ulReJTEhD8l95kYCgSFxdXTm0fy++vvMwy8nkvKYMnd/4mQ0d+iPHjoVWreDgweL+CIqiKIVmyoR1FcP9KwvAPs+iFJH7FYY0MzPjrbfeJCU5iX9/+JCaFW3pt28ntZu04UpcMrRuDUOHQlRUcYSvKMXixIkTeHp65ltatmxZ3GEphWDKUYKFezJPMZnCzlFoYWFB/aoWLOpdl4az4wg7eZFGtdx5Z9QMpvv7oVm/HmbOhKlTwVrN9K482VQ9rNLLlD0s5TF70DkKnRyrkxAbzfsff0F2dBjvLPucsnbl+K3t8/Duu9CgAfj7g/5BCkYriqI8HiphlWIPM0ehRqNhzqxpRF29RGufF0iJvc6Uym2Zu3g7idVqwCuvGO5vFfMDpYqiKLdTCasU6+XlyKe93XB0sEYAjg7WfNrbrVDTPlWoUIH9Ozdz6WoUw3t35YfQJCqdu8AzTduQHRkJHTtC9+5w8mTRfxBFUZRCeOR7WEKIr7lH/Vwp5aT7HF8D+AmoCuiBJVJKPyFEeeBXDCVKwoD+Usr4R433SdPLy/GR5iV0carCJ05VaFUhkz6LU9l7bD+VnOrxydDXGBuwCuHhAUOGwJw5UIgJTRVFUYqKKXpYR4Cj91juJxt4U0rZEGgFTBBCNAJmAH9JKesBf+W+V4pIj/bNSEtMYOx780hNTmT8T//DMjObjX0HwurVUL++YYqnGzeKO1TlAQQERdL2s79xmbGFtp/9TUBQpEnaLUztqcKaNm0arq6uuLu78/LLL5OQkABAZmYmI0aMwM3NDQ8Pj/vOe3j06FHc3NyoW7cukyZNoqBnTHfv3k3ZsmWNowPnzv2vvmxCQgJ9+/bF1dWVhg0bciB3dpgBAwYY93d2dsbT0/OuMXTt2pXISMPPeNWqVXz88cd3nF8IwaZNm4zrunfvbvxsf/31F02bNsXT05N27dpx4cIF436//fYbjRo1onHjxgwaNOiuMej1eiZNmkSTJk1wc3PD29vbOAOJs7Mzbm5uxs+zf/9+43GJiYk4OjoyceLEAtv98ccfiSrEiOJPPvnkvvs8NCmlSRcMQ9ntHuH4DUAnDLO9V8tdVw04d79jmzVrJpVHF61Llm17DZNmljay7usr5ML1h+Wp/v8npUYjpY2NlNOnSxkTU9xhPpVOnz5d6H1/PxYhXd/dKmtN32xcXN/dKn8/FvHIcdja2j5yG7ds375dZmVlSSmlfPvtt+Xbb78tpZTym2++kcOHD5dSSnnjxg3ZtGlTmZOTc9d2vL295f79+6Ver5ddu3aVf/zxxx377Nq1S7744osFHj906FC5dOlSKaWUGRkZMj4+/o59pk6dKj/44IMCj09NTZXe3t752jty5Mgd53dycpItW7Y0rnvxxRflrl27pJRS1qtXz/j/eNGiRXLYsGFSSinPnz8vPT09ZVxcnJTS8PO4m19++UX26dPH+LMKDw83HlerVi0ZHR1d4HGTJk2SAwcOlBMmTChw+7PPPisPHz581/Pecq/vRkHfX+CILGR+MOVcgk2EEEHASeC0EOKoEKLxA7bhDHgBh4AqUsprALn/LbDIkxDiVSHEESHEkejo6Ef5CEquimVs2fv7j4SG36Bj80Z8/udpGq/5jXL2Dhx+pj188YVhFvj33oN4dZW2pLrfc3qPKjk5GR8fH5o2bYqbmxsbNmwADJV7GzZsyJgxY2jcuDGdO3cmLa3gRzDAMJWSubnh7kSrVq2M0yGdPn0aHx8fwFBY0cHBgbvNZHPt2jUSExNp3bo1QgiGDh1KQEBAoT9LYmIie/bsYdSoUYDhURAHB4d8+0gp+e233+5a02r37t3G+mRSSoKDg2natOkd+3l4eFC2bFl27tx5xzYhBImJiQDodDqqV68OGGpxTZgwwTjTe+V71Ly7du0a1apVw8zM8OvdycnpvjPEHz16lBs3bhhny7/d2rVrOXLkCIMHD8bT0xOdTkeDBg04d87wXRo4cCBLly5lxowZpKWl4enped+K1A/DlIMulgBTpZS1pJQ1gTeBpYU9WAhhB6wDpkgpEwt7nJRyiZSyuZSy+a0aNIpp1K5kx5KhzVk59lkqN2qJLjmJFtu30cq7Lb80bAgffmi4rzV7NsTFFXe4ym0K+5zew7KysuL333/n2LFj7Nq1izfffNN4GS40NJQJEyZw6tQpHBwcjGVA7mfZsmV069YNMPxi37BhA9nZ2Vy+fJmjR48SHh5e4HGRkZE4OTkZLDxN6gAAIABJREFU3zs5ORkvzd3uwIEDeHh40K1bN06dOgXApUuXqFSpEiNGjMDLy4vRo0ffUSH433//pUqVKtSrV6/Adrdu3WosJBkUFISHh0eBs8kDvPvuu3z00Ud3rP/+++954YUXcHJyYuXKlcyYYbgTcv78ec6fP0/btm1p1aoV27ZtK7BdMBTw3LRpE56enrz55psEBQXl296xY8d8D0vr9XrefPNNfH1979pm3759ad68Of7+/gQHB1O2bFm++eYbhg8fzurVq4mPj2fMmDF89tlnWFtbExwcXCQVqU2ZsGyllLtuvZFS7gZsC3OgEEKLIVn5SynX566+IYSolru9GvBg0y0rJtPRrRbXT+xj9e7juHQdRWDwMQYHBjJl3FTo3Bk++siQuGbOhAecFVspOg/6nN6DklIya9Ys3N3def7554mMjORG7j1OFxcX472eZs2aERYWdt/2Pv74Y8zNzY1/mY8cORInJyeaN2/OlClTaNOmjbEnVlAstysoWTRt2pQrV64QEhLC66+/Tq9evQDIzs7m2LFjjBs3jqCgIGxtbfnss8/yHbtq1ap7Vgzet2+fcSb5bdu2GRNvQZ555hnAkATzmj9/Pn/88QcRERGMGDGCqVOnGuMLDQ1l9+7drFq1itGjRxvv9d3OycmJc+fO8emnn2JmZoaPjw9//fWXcfuuXbsIDg7m0KFDAHz77be88MIL1KhR467xFqRTp064ubkxYcIEvv/++wc69mGZdC5BIcRsIYRz7vIucN9aA8LwrfoBOCOl/CrPpo3AsNzXwzDc21KKiRCC/m0bcH7zEhZv+JdKzbux3rIVAzu9yYudX2CWoyPZn31mSFxTpkCeWa6V4vEwz+k9CH9/f6Kjozl69CjBwcFUqVLFWA8rb50rjUZz19pWt6xYsYLNmzfj7+9vTDTm5ubMnz+f4OBgNmzYQEJCwl17N05OTvlmVo+IiDBeTsurTJkyxgEjL7zwAllZWcTExODk5ISTk5Ox19G3b19j2RQwJIz169czYMCAAs9/6dIlatSogYWFBWAoInm3y2u3vPPOO/kGZURHRxMSEmKMYcCAAcZBEU5OTvTs2ROtVouLiwsNGjQgNDT0rm1bWlrSrVs3fH19mTVr1j0vjx44cIBvvvkGZ2dn3nrrLX766Sdjz+5e9Ho9Z86cwdramrjHdIXFlAlrJFAJWA/8nvt6RCGOawsMAZ4TQgTnLi8AnwGdhBChGAZhfHavRpTHw1xjxmtdm3J1/ybm9GnO2Yhotu76m0/PnqW2U02WeHqS9vXXULs2jBwJZ84Ud8hPrUd5Tq8wdDodlStXRqvVsmvXLq5cufJQ7Wzbto3PP/+cjRs3YmNjY1yfmppqvCy3c+dOzM3NadSoUYFtVKtWDXt7ew4ePIiUkp9++omePXvesd/169eNvbHAwED0ej0VKlSgatWq1KhRw3hP5q+//sp3rj///BNXV9d8lx3zyns5UKfTkZ2dTYUKFe75uTt37kx8fDwhISEAlCtXDp1Ox/nz542f+dbM5r169TJWYI6JieH8+fPUrl27wHaPHTtmHM2n1+s5fvw4tWrVumsc/v7+XL16lbCwMObNm8fQoUPv6F0C2Nvb5yvTMn/+fBo2bMiqVasYOXIkWVlZAGi1WuNrkyvs6IzSsKhRgqbz+7EI2ebTv6Tz9M2yzad/3XVkWWpGtvx6x0np2GWMtKhSRwLS3FwrZzVvLqW1tZQgZc+eUv77r5R6/WP+FE+eBxklWFSysrJk+fLlZXR0tGzVqpVs1qyZHDVqlHR1dZWXL1+Wly9flo0bNzbu7+vrK99///27tlenTh3p5OQkPTw8pIeHh3zttdeklFJevnxZ1q9fX7q6ukofHx8ZFhZ2z7gOHz4sGzduLGvXri0nTJgg9bnft8WLF8vFixdLKaX8+uuvZaNGjaS7u7ts2bKl3Ldvn/H4oKAg2axZM+nm5iZ79uxpHFknpZTDhg0ztlGQ7t27y8uXL0sppVyzZs1dP+/toxQ3bNggAeMowfXr18smTZpId3d3+eyzz8qLFy9KKaXU6/XyjTfekA0bNpRNmjSRq1atumssW7dulU2bNpWNGzeWjRs3liNGjJBpaWlSynuPEpRSyuXLl+cbJThq1CjjyMC1a9fK+vXrSw8PDxkcHCxdXV1lYmKilFLKN954Q7733ntSSsNIT1dXVzlo0KA72n/UUYKmrIfVHJiF4UFf44Vm+RiLOD6N9bCKwq2yJXlHmFlrNff86zw1Mxv/g1f4Yok/l9Z/SZOXRjJvyjgsvvsY3fr19EhONkz59Oab8PLLqhbXQyoJ9bBCQkIYM2YMgYGBxRpHSZGRkUHbtm2NIxhHjx7N6NGjadWqVTFHVvI8aj0sUyasc8A04ASGGSsAkFI+3HWCh6ASlmm0/exvIgsYSeboYM2+Gc/d89j0rBzWHAnnu38uEpmQTszyCaTcvIKHkxMzMzPpffMmWmdnmDQJRo2CMmWK6FM8mYo7YX333XcsXLiQBQsW3PcejaLcriQlrL1SynYmaewhqYRlGi4zthQ415YALn/2YqHayM7Rs/n4NXx//ZugdYvQx14lI/4aZWxs6GZjw6qYGIS9PQwfDhMnGmbSUO6ruBPWo5gwYQL79u3Lt27y5MmMGFGYW93/admyJRkZGfnWrVy5Ejc3t0eOsTQ5ceIEQ4YMybfO0tLSOPqvJCpJCcsHGIhhGiXjt0n+N0y9yKmEZRqP0sO6nZSSf85H879/Qvlr507iti6knENZDv+8igqL57Nu7Vpe0esx79rVkLi6dlWXC+/hzJkzuLq63vX5HkUpqaSUnD179pESlilHCY4APIGuwEu5S3cTtq88JtO6NECryf8LUasRDzUcWghBhwaVWfVqW/5e8Aav//A3ZQZ+ScftsXSxrMUIvZ4KlpbM2buXq927Q716hpk0YmJM9XGeKFZWVsTGxhb43JGilFRSSmJjY7GysnqkdkxWcRjwkFI+XX3yJ9ntvw9N8PuxiWNZ5g/wZGY3V34+dJUVuzKw8+gCCRHMvXqauUJQJTKSP6dPp/Hs2dC3L7z6KrRvD6pHAfz3vJGahkwpbaysrO76WEBhmfKS4FJgvpTytEkafAjqkqBpmPKS4L1kZOfwx4lrrNh/hSMnz5H470+knN3HttUb6fTPH3y8dCn1MjLo16ABYswYGDoU1PRbivJEKa57WGeAOhhmt8jAcI9eqmHtpY8pBl08qBMROvwPXSHg6FXS9YJGVazZOb0b2VmZ1La0ZHBGBgM1Ghq+/LLhgeTOndW9LkV5AhRXwirwUWo1rL30eVw9rIIkpmexISgS/0NXOX7qFOkndmKXEknEqcNIKXnO3Jy/srOhenVDj2v4cGhgmqmGFEV5/IolYZUEKmGZxsM8OGxqUkpOROpYfTicjcFRxEdHkbxtAW3atmdJt46EzP+UMUeOMBR4w8uLqqNHw4ABcJ/pcBRFKVlUwlIeWUBQJL7bzxGVkEZ1B2umdWnw2JLV7dIyc9h26hprj0aw/2IsUkL5sL8JXrMAqdcjgNaAmxB80bUrZYYPh5deAmvTzEquKErRUQlLeWJFxKeyITiK9cciuHA9ARkXSaW4EML2/E5cXAzHKlTAKzaWtVZW1O/UCffx48HHB7Ta4g5dUZQCqISlPPFuXTIMCIpi8/EobiQkkxN2hN4vv8yLMprew18iNTubxsDL1ta82KULLSZMwKxjRzVYQ1FKEJWwlKdKjl7y1Y5zLN8fRmqm4b5b1sWD2Fzdj43uJifPn0IvJXWB0MqV0ffuTXr37th06QJ3KQioKMrj8SAJS/1rVUq9TSFRLNlziSz9f398WdRphbZhW3SZOdTNTkbuW0YjO0uSyttzdvlyWn33HfXNzJjQogXdRo2izpAhkKfooKIoJY/qYSmlnucHO0hIu7NgXFkrc74e1JStJ6+x49QNYlMysdCY0cgijkPfTiM7MZ6Y3Aq51sDXzZsz6s03DfMZOjg85k+hKE8n1cNSnioFJSsAXXo27etXon39SnzUS3Lsajw7Tl1n+ykrLEcsxRJwM9dhcWwz+/5aR/nzoTBwIFOE4Bdzc15p25bBU6bg2b07GnXfy+RK0khUpXRQPSyl1HOeseWu28IKmJlDSknozWR2nr7Bn2duEByegJRQ2d6SDuUkZ36Yw7Zj+8nO3d/ezIyqZcuy/8cfqdit2yOPOHw34ASrDoWTIyUaIRjYsgYf9Xq6puEsCc/6KSWD6mEpT5VyNlriU+/sZZWzKTixCCGoX8We+lXsmdCxLjHJGfxzLpq/z95ka2g0SZ1mUaMzNLFKo9zJPzn+1zrOx8dg37MnlC1LEynJsLJi2ptv8lzv3tSpU6fQ5T7eDTjBzwevGt/nSGl8/zQlLd/t5/IlK4C0rBx8t59TCUu5q2LvYQkhlmEoQ3JTStkkd1154FfAGQgD+ksp4+/XluphPZ0CgiKZtjaErJz/vstajcC3r8cD//LLztETFJ7A7nM3+ed8NCcjEwFwsNLQ1iaT1peD+GjZp1zKzOBWirTTavFu1Ii/DxxAWlkhpcTMrODKPXVm/kFOAf/mNEJw8dMXHijW0qw45qtUSqbS1sP6EfgG+CnPuhnAX1LKz4QQM3LfTy+G2JRS4FZSMsX9EHONGd7O5fF2Ls+0Lq7EJmew90IMe87HsPdCNFvKNoc31tHS1gzX6yfRHtzM9uB9EBIC5cpxqVkzGh48SM3q1Rkzfjxtn3kGDw8P7O3tAQpMVvda/6Sq7mBd4HyV1R3U7CTK3RV7DwtACOEMbM7TwzoHdJBSXhNCVAN2SynvO8Op6mEpRUlKycXoFPaGRrP/YiwHL8WSmG6401XHBlomRVBz/2a+PPAHiVLPzTzHDunRg58CAnCespr0mHAsnRoixH+9sKeth6XuYSm3lLYeVkGqSCmvAeQmrcrFHZCiCCGoW9mOupXtGN7WhRy95FSUjgMXYzl0OY6Nl81JfmYsPDMWV4sc+l47heW+jew+f5TOGzdCtWp0t7Rn0dULmGutsXDxRFulLqBn2PBRxf3xHqteXo4cuRKXb/BJn2aOKlkp91RSE1ahCSFeBV4FqFmzZjFHozxNNGYCdycH3J0ceO3ZOmTn6Dl9LZHAy3EEXo5jn7kVCT0M5eAWaHL4NzmKSgc30yX6BmZpyZwJPUjY+QMAtO3aCLKf4dslS9i8eTPjx4+nU6dOWD6hDzMHBEWy7mik8VJojpSsOxpJ81rlVdJS7kpdElSUIqLXSy5GJ3M4LJ4jYXEcvRrPldhUACyEpHFGHLVP7yUl+G8mpSbQUJ9Oa42GQ4mGgR5arZaaNWuSmZnJ/v37cXJyIjExESsrKywsLIrzoz2y4qy5ppQsT8IlwY3AMOCz3P9uKN5wFOXBmZkJ6lWxp14Vewa1NPT+o5MyOHY1nqNX4gm+WoEttpVI9+zJNqCizMD95iV8QnZhHnkGXVwUuyMjCZeSClu2QPv2uPr4cP36dfr370/z5s2xtbWlQoUK9O3b964jE0uiqAKS1b3WKwqUgB6WEGIV0AGoCNwA3gcCgN+AmsBVoJ+UMu5+bakellLaZOXoOXstieCIBIKvJhAcHs+l6BTjkG+njETcIs/SJPwM7tdDWXL9PIfNIFmjITIpCQBLS0vS0gy/6Lt27YpWq+WTTz7B1dWVnJwcrKysCv2c2OOieljKLaWqhyWlHHiXTT6PNRBFKQZajRluTmVxcyrLkFa1AEhKz+JEpI7jETpOROg4Ua0KW2u3MB7jmJbAMxFncQ4/RWb4SSrKNOjTh+gGDfjzzz/R6/Vs2bIFc3NzrKysqFGjBqdPnyYjI4Ply5fTqFEj2rdvX1wfGYCOrpXyPUCdd72i3E2xJyxFUfKzt9LSpk5F2tSpaFynS83iZJSOk5E6TkUlcjKiOn/Wa2XsiS3NTMX1ykVmPTuSspGnyMqII84SdibqaFe7NkRGEhIRwbhx4zAzM8PNzY1GjRoREhJC9+7d+fzzzwE4fvw4NWvWxKGIJ//ddTb6gdYrJUNxz/+oEpailAJlbbS0rVuRtnX/S2KpmdmcvZ7E6ahETkUlcjaiCutuuJGa0wsAIfXUTLhOZvQVvhw4g8rJ13mnsSfXNXquAfv/+YcrUVHG3lZAQAC9e/fGxcWFvn37Ur9+fQICAhg9ejQ9e/YEICYmhgoVKjzyJUZ1D6v0uf3ZuciENGauPwHw2JKWSliKUkrZWJjTtGY5mtYsZ1yn10uuxqVy9noS564ncTaiMufCnfgzpRV6DEnGPCcb5/goXoi5So3YK9S/qOP0iNexNM+gtasr11NSWLBgAZmZmQB4eXnRs2dPli1bxqhRo+jWrRtDhw6levXqrFmzhpEjR+Ll5UVOTg6ZmZlYW99/tgo100XpUxLmf1QJS1GeIGZmAueKtjhXtKVrk6rG9elZOVyMTib0RjLnr+kIvWTP6ZuObMtsa0xkQupxat+SZ2IjcE66jr1MRmoyGGhXHrljBzcvXMDBwYGtW7eydetWY9utW7fGy8uLL774glmzZjF58mT69++PVqtl3bp1vPrqq9SuXZuMjAyys7OxtbVlWpcGBc50Ma3LfZ9eUYpJSegVq4SlKE8BK62GxtXL0rh6WfByBBoBhkQWFpvChZvJXLwaw8VLFlyILs/BTC/ShaEG2DdxYLtVh3N8FQb5TMCRNCxFCjnmWeRYm9HP3R2ysggJCUEIgZ+fH35+fsZz9+7dm9q1azN9+nT8/PyYN28enTp1YlDNJL5d5o95sz7UdHJkbKvKeJbLIicnR9UfK4HKWmsLLpRq/Wjldh5EsQ9rNyU1rF1RTEOvl1xPTOdSdDKXLl3n8qUoLt9I4nKqnghhTU6eeRDtMlKpqbuOc1Yi1cyzsTZLRWqySNNkY13Rganvv4fG3JxmzZpx7NixfOfRaDRcvXqV6tWr06dPH9avX8/333+Pp6cnISEhBAQE4O/vj729PWfPniU8PJznnntOJbRi4DV3x13L+AS91/mh232QYe0qYSmK8kCycvSEx6USdjWaK+eucCUihitx6VzJNCPc3JYss/8u3Gj0OVRLiqVGdhJOmmzKW2RhrskgR5NFiszEqZ4Lr40dC0CNGjWIiIjIdy4HBwdiYmLQaDQ0b96cY8eOsXjxYmrVqsXGjRv5888/OXfuHEIINm3aRGhoKFOnTgXg+vXrmJmZUbmymorUFIqqJEypeg5LUZTSRasxo3YlO2pXsoNmLvm25egl1xNSuXI2jIjQCK5G6rgq9YRn2LLbzIZoqzL527qYhf/EFVQnnX793qGcNhtz80z0ZpmkkYmbe2M0Gg3Z2dlERUUBMDY3wQG4u7sjhCAjI4OxY8ei0+mIiYnB0dGRNWvWcPHiRcLDwwGYNWsW165dY/ny5QBs2rQJvV5vHAEZFxeHra3tEzt/46MqCQNlVA9LUZTHJj09k4gzl4k4f4XI8JuERycRlZxNZI45keZ23LB1QIr8U0w5ZKZSTZ9Gda2eStYCG00GQpON3iwTt6aedO7YjlRdHD179iQ8PJzr16+Tk2MYzPHKK6+wcuVKLl26hIeHB5aWlrRq1Ypq1aqxc+dOypUrR1BQEGlpaXTo0AGtVsvevXsBGDduHBUrVuTDDz8E4JdffqFy5co8//zzAERGRlKmTBljrbMnXVGVhFE9LEVRSiQrKwvqejWgrlfBowGzYmK5fuYiURcjiIqIISouhWvJWVzLMuOamRVBtuWJs/nvWTR2p8Du7djmZFKl7STaayWVrDXYmGeh1WRQp2EDAi/FkpWYSd/+A7h5/RqRkZEcOXKEmzdvMmPGDAACAwMJDAwEoFy5clStWpWEhARjcrp8+TKTJ0+mUaNGlClThsqVK9O+fXs6dOjATz8Zas/6+PjQqVMnY5sffvgh3t7edO3aFYC9e/fi7OyMk5NTkfxsi5opC6U+LJWwFEUpMbQVK1DjmQrUeKbFnRulhPh40i+GceNSONfCb3L9RgLXdWncSM3mRo45181tOGpbjpt2Fcg0Lwf7dbD/oOH4Si9jVyGLym5Z1LcQVLDWECVt+DbgCGYaS9768CvSE2NJTYhFFx/DzRs3mDx5MgD79+8nJiaGPXv20LJlS2NIrVq1AmDLli2cPXuWtLQ0EhISqFixIp988gljx46la9euJCYm0r59e2bOnMnHH39MTk4Otra2zJ07l7fffpvMzEx69+7NmDFj6NmzJxkZGSxatIjnn38ed3d3srKyOHnyJC4uLkU+C8m99PIq3pplKmEpilI6CAHly2NVvjy1vJtSq6B9srLg2jXk1avEh0VyMzKamzfiuZGQSnRKJjczBdFoibZx4KyNA9F25Ui6kp17cH0wA8obljJ1snn793Aqbo3CwaoME3x/xVxkYaZPIztFR2ZyPF7tuxGdlIEuMZFKlSpx5coVvvrqK7KyDKPppkyZAoCfnx9SSr788ktWrFhBhQoVqFq1Kg0bNgRg27ZthISEsHXrVrRaLXq9njfffJPvvvsOd3d3oqKiaNq0KT/88AMjR47k4sWLeHp6smzZMvr160dYWBjjx4/n3XffpU2bNly7do1ly5YxYMAA6tatS3x8PEFBQXh5eVGuXDmysrLIzMzExsamxE2MfC/qHpaiKE8XvR5iYiAqCqKiSAuPIuZaDNExOqLjU4hNySQmUxKjNyfGqgyxNmWJtSlLjK0DCdZlCmxSICkr9JTXgoOVBjtNNhYiA5f6DSjvYEfspZNcPnmEzBQdaUkJJOvi0cXF8u+/ezA3N2f8+PEsXrw4X5vm5uYkJCRga2vLhAkT+P3336lcuTJVq1bF2tqa8PBwli5dipeXFz/99BNz585l4sSJdOzYkQsXLtC3b1927NhBp06d2LVrF8899xx///03HTt2ZMeOHXTp0oV///2Xdu3asWvXLiZMmMCaNWto3LgxgYGBLFq0iI8//hgnJyfOnDnDzp07GTp0qMl7eGpYu6IoyqPS6yEuDm7cMCzXrpF9/QbxN+OIi9ERq0sjLjWTuHQ9sTmCBAtb4qzLEGdTljjrMsTblCHOugyZ5ncvtmkr9DhoBWUswEZkYUEGWpGJWXYqmpxMfF7oRVlrLf9sXM3JI/tJSYwnOVFHoi4BGxsbQkJCAOjWrRvbtm3L13a9evU4ffo05ubm9OvXj+PHj1O1alUqVKiARqMhLS2NpUuXUq1aNb788kvWrl3LpEmTqF+/PkeOHOGjjz5iz549uLi4GKflCgsLo1atAvu2D00lLEVRlMdJStDp4OZNwxIdDTdvIm9GkxYbR3xcEvG6VBJSMohPzyEhSxJvbo3Oyo4EKzsSrMugs7IlwcqeBGt7dFb2ZGnufcfGXiMpozXD3kqDNjMRTXYK5jITs6xUyEjGztaaTj36YW9lzq+LfQk7f5rU5ESSE3UkJyXi6eHBli1bAGjQoAHnz5/P137Xrl2NU3B5eXmh0+lwcHBg0KBBvPXWWyb70amEpSiKUtKlpEBsrGGJiTH05nLfy7g40uIS0OlS0SWnoUvLJjE9G122JFFrg87KDp2VHUmWNiRa2pJoZUeipS1JlrYkWtuRZGF9x+MBtxNI7MwF9lozNGlxaHPSMJeZaPTpiKw0yleoiFebDthamrPhf5+RkhBDZmoKz3TsxMy3JlPe9u49xwehEpaiKMqTSEpITjYkt/j4O5eEBEhIQB8fT0pSKknJ6SSlZZKcnk1ipp5kvSDJ0oZkSxuSLG1JsrAh2dKaZAvD+2QLa1IsbUixtCHZwppkrVWBiW9xu/J0697aJB9JPYelKIryJBIC7O0Nyz3uJZkB9rlLPjk5kJhouHx5a0lM/G9dYiIkhhtexyQik5JIS04lOTWTlPQsUjJzSM7SU8/7nSL8kHenEpaiKMrTQqOBcuUMSyEIwCZ3KQnufZFTURRFUUqIEp2whBBdhRDnhBAXhBAzijseRVEUpfiU2IQlhNAAi4BuGKrNDRRCNCreqBRFUZTiUmITFtACuCClvCSlzARWAz2LOSZFURSlmJTkQReOQHie9xFAy9t3EkK8Crya+zZZCHHOROevCMSYqK3HQcVbdEpTrKDiLUqlKVYoHfEWeuqMkpywCpqR8Y6HxqSUS4AlJj+5EEcK+2xASaDiLTqlKVZQ8Ral0hQrlL5476ckXxKMAGrkee8ERBVTLIqiKEoxK8kJ6zBQTwjhIoSwAP4P2FjMMSmKoijFpMReEpRSZgshJgLbAQ2wTEp56jGGYPLLjEVMxVt0SlOsoOItSqUpVih98d7TEzWXoKIoivLkKsmXBBVFURTFSCUsRVEUpVR4KhPW/aZ8EkJYCiF+zd1+SAjhnGfbzNz154QQXUpyvEKITkKIo0KIE7n/fa6kxppne00hRLIQwnQV4oooXiGEuxDigBDiVO7P2KqkxiuE0AohVuTGeUYIMbMExNpeCHFMCJEthOh727ZhQojQ3GVYUcf6KPEKITzzfA+OCyEGlNRY82wvI4SIFEJ8U9SxmpSU8qlaMAzguAjUBiyAEKDRbfuMB77Lff1/wK+5rxvl7m8JuOS2oynB8XoB1XNfNwEiS2qsebavA9YAb5Xw74I5cBzwyH1foYR/FwYBq3Nf2wBhgHMxx+oMuAM/AX3zrC8PXMr9b7nc1+VKwM/2bvHWB+rlvq4OXAMcSmKsebb7Ab8A3xTlz9XUy9PYwyrMlE89gRW5r9cCPkIIkbt+tZQyQ0p5GbiQ216JjFdKGSSlvPXs2inASghhWRJjBRBC9MLwy+lxjQZ9lHg7A8ellCEAUspYKWVOCY5XArZCCHPAGsgEEoszVillmJTyOKC/7dguwE4pZZyUMh7YCXQtwlgfKV4p5XkpZWju6yjgJlCpJMYKIIRoBlQBdhRhjEXiaUxYBU355Hi3faSU2YAOw1/QhTnW1B4l3rz6AEFSyowiijNfHLkKHasQwhaYDnyNTsXKAAAgAElEQVRQhPHd7lF+tvUBKYTYnnvp5e0SHu9aIAXDX/9XgXlSyrhijrUojn1YJjmnEKIFhl7PRRPFVZCHjlUIYQZ8Cfw/e/ceH1V97/v/9YEESBUJRbxA0GBrATUQMAiKbW1VbtojrbRK2VJQdFOxtj/dWqzudtujlR66j7beOMJR1I2wrRfUVkGLUD3eEy5ycQNu0JpABeTmBZHL5/fHWpkOYSaZZGYys5L38/GYR2bW+q7vfFbWZD5Z3/Vd3+91WYgr6/L2PqwsSmXIp2RlUhouKsPSiTdYaXYy8FuCs4JsSifWm4Hb3f2T8ISrOaQTbwFwJjAQ+AxYaMFU3wszG2JKsaRS5jRgP0GTVWfgZTP7i7uvz2yIDcaR7W2bKu33NLNjgYeBH7n7IWc2GZROrFcCz7r7B834d5YxrfEMK5Uhn2JlwiaUTsC2FLfNtHTixcxKgCeBce6ezf/60o11EPC/zOw94GfALyy4cTxf460G/uruW939M+BZYEAex/tDYL6773X3zcArQDbHmEvnbyVf/86SMrMjgD8DN7n76xmOra50Yj0duCr8O/sdMM7MpmY2vCzK9UW05n4Q/Ge8nqDTRO0Fy5PrlJnMwReuHw2fn8zBnS7Wk/0L7enEWxyWvzDff7d1yvwbzdPpIp3fbWdgCUEHhgLgL8B5eRzvz4EHCP47PwxYDfTNZaxxZWdxaKeLDeHvuHP4/Mu5/t3WE287YCHws2x/ZtONtc668USs00XOA8jJTsNIYC1BO/ON4bJfA/8jfN6BoKfau8CbwAlx294YbrcGGJHP8QI3EVy3WBb3OCofY61Tx7/RDAkrA5+FfyLoILIS+F/5HC9weLh8FUGyui4PYh1IcLbwKfARsCpu20vDfXgXmJAnv9uE8Yafg711/s7K8zHWOnWMJ2IJS0MziYhIJLTGa1giIhJBSlgiIhIJSlgiIhIJSlgiIhIJSlgiIhIJSlgiaTKzYjO7Mu51NzN7LEvvNcrMfpnB+n7XHKP4i2SCurWLpCmcwuNP7n5KM7zXqwT32mzNUH3HAzPcPdvDdomkTWdYIumbCnzFzJaZ2TQzKzWzlQBmNt7M5pnZM2a2wcyuMrNrzGypmb1uZl8Oy33FzOZbMG/Zy2bWu+6bmNnXgD21ycrMvm9mK81suZm9FC5rG8bwVjg30z/HbX99OB/W8trheNz9fYLBh4/J+m9JJE2tcfBbkUybApzi7uUQO+OKdwrB3GQdCEZu+Lm79zez24FxwB3AfcAkd19nZoOAe4C6TXVDCIaDqvVLYJi715hZcbjsMmCnuw8Mp5J5xcyeB3oDo4BB7v5ZbaIMLQnrfrzJvwGRZqCEJZJ9i9z9Y+BjM9sJPBMuXwH0NbPDgTOAP8aNoJ1o3rJjgS1xr18BZpnZo8AT4bKhYZ21s8x2Ak4EzgEe8GCgXvzgqUU2E4ziLpLXlLBEsi9+DrIDca8PEPwNtgF21J6h1WM3QQICwN0nhWdj5wHLzKycYHDbn7j7gvgNzWw4yaeg6BDWLZLXdA1LJH0fAx2burG77wI2mNn3ASzQL0HRd4Cv1r4ws6+4+xvu/ktgK8GUEwuAH5tZYVjma+HkmM8Dl5rZl8Ll8U2CXyMYwFckrylhiaTJ3T8iuFa00symNbGascBlZracYET1CxKUeQnob/9oN5wWdqJYGa5bDswkGI19Sbj8/wAF7j4feBqoNLNlwL8AhIntq0BlE+MWaTbq1i4SIWb2e+AZd/9Lhur7LjDA3f81E/WJZJPOsESi5TcEk0ZmSgHw7xmsTyRrdIYlIiKRoDMsERGJBCUsERGJBCUsERGJBCUsERGJBCUsERGJBCUsERGJBCUsERGJBCUsERGJBCUsERGJBCUsERGJBCUsERGJBCUsERGJBCUsERGJhIJcB5BJRx55pJeWluY6DBERSVFVVdVWd++aStkWlbBKS0uprNTEqSIiUWFm76daVk2CIiISCUpYIiISCUpYIiISCUpYIiISCTlJWGZ2v5ltNrOVSdZ3MrNnzGy5ma0yswnNHaOIiOSXXJ1hzQKG17N+MrDa3fsBZwH/bmbtmiEuERHJUzlJWO7+ErCtviJARzMz4PCw7L7miE1ERPJTvl7DugvoA2wEVgA/dfcDiQqa2RVmVmlmlVu2bGnOGEVEpBnl643Dw4BlwLeBrwAvmNnL7r6rbkF3vw+4D6CiosKbNUrJW/OW1jBtwRo27thNt+IirhvWi1H9u+c6LBFJQ76eYU0AnvDAu8AGoHeOY5KImLe0hhueWEHNjt04ULNjNzc8sYJ5S2tyHZqIpCFfE9bfgLMBzOxooBewPqcRSWRMW7CG3Xv3H7Rs9979TFuwJkcRiUgm5KRJ0MzmEPT+O9LMqoFfAYUA7j4d+J/ALDNbARjwc3ffmotYJXo27tjdqOUiEg05SVjuPqaB9RuBoc0UjrQw3YqLqEmQnLoVF+UgGhHJlHxtEhRpsuuG9aKosO1By4oK23LdsF45ikhEMiFfewmKNFltb0D1EhRpWZSwpEUa1b+7EpRIC6MmQRERiQSdYYmItCJRvqleCUtEpJWovam+9j7F2pvqgUgkLTUJioi0ElG/qV4JS0SklYj6TfVKWCIirUSym+ejclO9EpaISCsR9Zvq1elCRKSViPpN9UpYIiKtSJRvqleToIiIRIISloiIRIISloiIRIISloiIRIISloiIRIISloiIRIISloiIRIISloiIRIISloiIREJOEpaZ3W9mm81sZZL115nZsvCx0sz2m9mXmztOERHJH7kammkWcBfwUKKV7j4NmAZgZt8B/j9339Zs0YlIRkV5llvJHzlJWO7+kpmVplh8DDAne9GISDZFfZZbyR95fQ3LzL4EDAcer6fMFWZWaWaVW7Zsab7gRCQlUZ/lVvJHXics4DvAK/U1B7r7fe5e4e4VXbt2bcbQRCQVUZ/lVvJHviesi1FzoEikRX2WW8kfeZuwzKwT8E3gqVzHIiJNF/VZbiV/5KTThZnNAc4CjjSzauBXQCGAu08Pi30XeN7dP81FjCKSGVGf5Vbyh7l7rmPImIqKCq+srMx1GCIikiIzq3L3ilTK5m2ToIiISDwlLBERiYS0EpaZnWBmz5jZ1nCopafM7IRMBSciIlIr3TOsR4BHgWOAbsAfUTd0ERHJgnQTlrn7w+6+L3z8B9ByenGIiEjeSLdb+yIzmwLMJUhUFwF/rh1ZXQPWtmwa0FREmlO6Ceui8Oc/11l+KUEC0/WsNORzQtCApiLS3NJKWO7eM1OByMHyPSHUN6BpPsQnIi1PWgnLzNoC5wGl8XW5+/9OLyzJ94SgAU1FpLml2yT4DPA5sAI4kH44UivfE0K34iJqEsSiAU1FJFvSTVgl7t43I5HIQfI9IVw3rNdBTZagAU1FJLvS7db+nJkNzUgkcpB8H+F6VP/u3Pa9MroXF2FA9+IibvteWV40V4pIy5TuGdbrwJNm1gbYCxjg7n5E2pG1clEY4XpU/+55FY+ItGzpJqx/B04HVnhLGvY9TyghiIj8Q7pNguuAlUpWIiKSbemeYW0CFpvZc8Ce2oXq1i4iIpmWbsLaED7ahQ9pRfJ5JA4RaXnSHeniZgAzO0xT2bcu+T4Sh4i0POnOh3W6ma0G3glf9zOzezISmeS1+kbiEBHJhnQ7XdwBDAM+AnD35cA30g1K8l++j8QhIi1PugkLd/+gzqL9CQtKi5JsxI18GYlDRFqedDtdfGBmZwBuZu2AqwmbB+tjZvcD5wOb3f2UJGXOIjiDKwS2uvs304xVMijfh2bK9w4h+R6ftFxR/uylm7AmAb8HugPVwPPAlSlsNwu4C3go0UozKwbuAYa7+9/M7Kg04xQy+0HN55E48r1DSL7HJy1X1D976SasXu4+Nn6BmQ0BXqlvI3d/ycxK6ynyQ+AJd/9bWH5zmnG2etn4oObrSBz5PjVLvscnLVfUP3vpXsO6M8VljfU1oLOZLTazKjMbl6ygmV1hZpVmVrlly5YMvHXL1Jp69eV7h5B8j09arqh/9pp0hmVmpwNnAF3N7Jq4VUcAbRNv1ei4TgXOBoqA18zsdXdfW7egu98H3AdQUVGhIaKSiPoHtTHyfWqWfI9PWq6of/aaeobVDjicILF0jHvsAkZnIK5qYL67f+ruW4GXgH4ZqDer5i2tYcjUF+k55c8Mmfoi85bW5DqkmNbUqy/fp2bJ9/ik5Yr6Z69JZ1ju/lfgr2Y2y93fz3BMAE8Bd5lZAUFyHATcnoX3yZhsXCPKZCeJfO/Vl0n53CEE8j8+abmi/tmzXAy0bmZzgLOAI4EPgV8RdF/H3aeHZa4DJgAHgJnufkdD9VZUVHhlZWWWoq7fkKkvJjzV7l5cxCtTvt3o+uomQAgSTDqTJEa5O6uItExmVuXuFamUTbeXYJO4+5gUykwDpjVDOBmR6WtEUe/NIyKSaWmPdCGBTF8jynQCrD1jq9mxG+cfTZb5dJ1NRKQ+6Q5+28HMJpvZPWZ2f+0jU8FFSaYvZmY6Abambu0i0jKle4b1MHAMwQC4fwVKgI/TDSqKRvXvzm3fK6N7cRFGcO0qnetNmU6Aralbu4i0TOlew/qqu3/fzC5w9wfN7BFgQSYCi6JMjvyQ6d48Ub//QkQk3YS1N/y5w8xOAf4OlKZZp4QymQBbU7d2EWmZ0k1Y95lZZ+BfgacJbib+ZdpRScZF/f6Llka3GIg0Xk7uw8qWXN6HJZKqbNxjJxJVzXYflpm1By4kaAaM1eXuv06nXpGWTPfYiTRNuk2CTwE7gSpgT/rhRJuaeSQV6rEp0jTpJqwSdx+ekUgiLuoTo0nzUY9NkaZJ9z6sV82sLCORRJxuzJVURX3EbJFcSfcM60xgvJltIGgSNMDdvW/akUWMmnkkVeqxKdI06SasERmJogVQM480RibvsRNpLdJqEnT39xM9MhVclHyrd9dGLRcRkcbRaO0Zsui/tjRquYiINI4SVoboGpaISHYpYWVIpqcDERGRgylhZYi6KouIZFe6vQQlpK7KIiLZpYSVQeqqLCKSPTlJWGZ2P3A+sNndT0mw/iyCcQo3hIue0IC6ItGlcTYlE3J1hjULuAt4qJ4yL7v7+c0Tjohki8bZlEzJSacLd38J2JaL9xaR5qVxNiVT8rmX4OlmttzMnjOzk3MdjIg0TaIhy+pbLpJMvna6WAIc7+6fmNlIYB5wYqKCZnYFcAXAcccd13wRikhK2pqxP8HM5m3NchCNRFlenmG5+y53/yR8/ixQaGZHJil7n7tXuHtF164at08k3yRKVvUtF0kmLxOWmR1jFvz7ZWanEcT5UW6jEpGm6J5ktJdky0WSyUnCMrM5wGtALzOrNrPLzGySmU0Ki4wGVprZcuAPwMXu+ndMJIo0CoxkSk6uYbn7mAbW30XQ7V1EIk6jwEim5GunCxFpQTQKjGRCXl7DEhERqUsJS0REIkEJS0REIkHXsEQiZO/evVRXV/P555/nOhSRRunQoQMlJSUUFhY2uQ4lLJEIqa6upmPHjpSWlmIaKUIiwt356KOPqK6upmfPnk2uR02CIhHy+eef06VLFyUriRQzo0uXLmm3DChhiUSMkpVEUSY+t0pYIiISCUpYItJohx9+eMbquu666+jduzd9+/blu9/9Ljt27ADgiy++YMKECZSVldGvXz8WL15cbz1VVVWUlZXx1a9+lauvvppEo7ktXryYTp06UV5eTnl5Ob/+9T8mMt+xYwejR4+md+/e9OnTh9deew2Aiy66KFa+tLSU8vLypDEMHz6cmpoaAObMmcOtt956yPubGc8880xs2fnnnx/bt4ULFzJgwADKy8s588wzeffdd2PlHn30UU466SROPvlkfvjDHyaN4cCBA1x99dWccsoplJWVMXDgQDZsCCZvLy0tpaysLLY/r776amy7Xbt20b17d6666qqE9c6aNYuNGzcmfd9av/nNbxos02Tu3mIep556qou0ZKtXr25U+SeXVPsZty300p//yc+4baE/uaQ6I3EcdthhGanH3X3BggW+d+9ed3e//vrr/frrr3d397vuusvHjx/v7u4ffvihDxgwwPfv35+0noEDB/qrr77qBw4c8OHDh/uzzz57SJlFixb5eeedl3D7cePG+YwZM9zdfc+ePb59+/ZDylxzzTV+8803J9z+s88+84EDBx5UX2Vl5SHvX1JS4oMGDYotO++883zRokXu7n7iiSfGjvHdd9/tP/rRj9zdfe3atV5eXu7btm1z9+D3kcwjjzziF154Yex39cEHH8S2O/74433Lli0Jt7v66qt9zJgxPnny5ITrv/nNb/pbb72V9H1r1ffZSPT5BSo9xe94nWHlsXlLaxgy9UV6TvkzQ6a+yLylNbkOSSKkdmr6mh27cf4xNX2mPkeffPIJZ599NgMGDKCsrIynnnoKgPfee48+ffpw+eWXc/LJJzN06FB2704+WePQoUMpKAg6LA8ePJjq6moAVq9ezdlnnw3AUUcdRXFxMZWVlQnr2LRpE7t27eL000/HzBg3bhzz5s1LeV927drFSy+9xGWXXQZAu3btKC4uPqiMu/Poo48yZkzioVAXL17MWWedFSu7bNkyBgwYcEi5fv360alTJ1544YVD1pkZu3btAmDnzp1069YNgBkzZjB58mQ6d+4MBL+PZDZt2sSxxx5LmzbB13tJSUlsu2Sqqqr48MMPGTp0aML1jz32GJWVlYwdO5by8nJ27txJr169WLMmmDV6zJgxzJgxgylTprB7927Ky8sZO3Zsve/ZFEpYeSrbXzbS8mV7avoOHTrw5JNPsmTJEhYtWsS1114ba4Zbt24dkydPZtWqVRQXF/P444+nVOf999/PiBEjgOCL/amnnmLfvn1s2LCBqqoqPvjgg4Tb1dTUUFJSEntdUlISa5qr67XXXqNfv36MGDGCVatWAbB+/Xq6du3KhAkT6N+/PxMnTuTTTz89aLuXX36Zo48+mhNPTDiXLM899xzDhw8HYOnSpfTr1y9pR4ObbrqJW2655ZDlM2fOZOTIkZSUlPDwww8zZcoUANauXcvatWsZMmQIgwcPZv78+QnrBfjBD37AM888Q3l5Oddeey1Lly49aP23vvUtysvLGTRoEBA0IV577bVMmzYtaZ2jR4+moqKC2bNns2zZMjp16sRdd93F+PHjmTt3Ltu3b+fyyy9n6tSpFBUVsWzZMmbPnp20vqZSwspT2f6ykZZvY5Ip6JMtbyx35xe/+AV9+/blnHPOoaamhg8//BCAnj17xq71nHrqqbz33nsN1nfrrbdSUFAQ+8/80ksvpaSkhIqKCn72s59xxhlnxM7EEsVSV6JkMWDAAN5//32WL1/OT37yE0aNGgXAvn37WLJkCT/+8Y9ZunQphx12GFOnTj1o2zlz5iQ9uwJ45ZVXOPPMMwGYP39+LPEm8vWvfx0IkmC822+/nWeffZbq6momTJjANddcE4tv3bp1LF68mDlz5jBx4sTYtb66SkpKWLNmDbfddhtt2rTh7LPPZuHChbH1ixYtYtmyZbzxxhsA3HPPPYwcOZIePXokjTeRc889l7KyMiZPnszMmTMbtW1T6cbhPJXtLxtp+boVF1GT4PPSLUMTJ86ePZstW7ZQVVVFYWEhpaWlsfts2rdvHyvXtm3bepsEAR588EH+9Kc/sXDhwliiKSgo4Pbbb4+VOeOMM5Ke3ZSUlMSaEiG4wbq2OS3eEUccEXs+cuRIrrzySrZu3UpJSQklJSWxs47Ro0cflLD27dvHE088QVVVVcL3X79+PT169KBdu3YAPP/88w2eVd54442xJA2wZcsWli9fHovhoosuip2xlZSUMHjwYAoLC+nZsye9evVi3bp1DBw4MGHd7du3Z8SIEYwYMYKjjz6aefPmxZpX63rttdd4+eWXueeee/jkk0/44osvOPzwww9J2HUdOHCAd955h6KiIrZt23bQGW626AwrTyX7UsnUl420fNmeOHHnzp0cddRRFBYWsmjRIt5///0m1TN//nx++9vf8vTTT/OlL30ptvyzzz6LNcu98MILFBQUcNJJJyWs49hjj6Vjx468/vrruDsPPfQQF1xwwSHl/v73v8fOxt58800OHDhAly5dOOaYY+jRo0fsmszChQsPeq+//OUv9O7dO+mXcnxz4M6dO9m3bx9dunSpd7+HDh3K9u3bWb58OQCdO3dm586drF27NrbPffr0AWDUqFEsWrQIgK1bt7J27VpOOOGEhPUuWbIk1pvvwIEDvP322xx//PFJ45g9ezZ/+9vfeO+99/jd737HuHHjEiarjh078vHHH8de33777fTp04c5c+Zw6aWXsnfvXgAKCwtjzzNNZ1h56rphvbjhiRUHNQtqllZpjGxNnLhv3z7at2/P2LFj+c53vkNFRQXl5eX07t27SfVdddVV7Nmzh3PPPRcIOl5Mnz6dzZs3M2zYMNq0aUP37t15+OGH663n3nvvZfz48ezevTt2dgEwffp0ACZNmsRjjz3GvffeS0FBAUVFRcydOzd2RnfnnXcyduxYvvjiC0444QQeeOCBWN1z586ttzlw/vz53HnnnUCQaM4555yU9v3GG2+MJdaCggJmzJjBhRdeSJs2bejcuTP3338/AMOGDeP555/npJNOom3btkybNi1pQty8eTOXX345e/bsAeC0005L2lW9IRMnTmTSpElUVFQwfvx4Jk2aRFFREQ8++CAzZ87kzTffpGPHjnzjG9/glltu4eabb+aKK66gb9++DBgwIOPXsSxR229UVVRUeLJeRFE0b2mNZmmVg7zzzjux/7pzZfny5Vx++eW8+eabOY0jX+zZs4chQ4bEejBOnDiRiRMnMnjw4BxHln8SfX7NrMrdK1LZXmdYeUyztEq+mT59On/4wx+44447ch1K3mjfvv1B3e2bqwNCa6SEJSIpmzRpEpMmTWrStpMnT+aVV145aNlPf/pTJkyY0Kh6Bg0aFGvuqvXwww9TVlbWpLiiasWKFVxyySUHLWvfvn2s919LpIQlIs3i7rvvzkg9LfkLuTHKyspYtmxZrsNoVjnpJWhm95vZZjNb2UC5gWa238xGN1dsIvmuJV13ltYjE5/bXHVrnwUMr6+AmbUFfgssaI6ARKKgQ4cOfPTRR0paEikeTuDYoUOHtOrJSZOgu79kZqUNFPsJ8DiQ+M44kVao9gbZLVu25DoUkUbp0KFD2jcX5+U1LDPrDnwX+DYNJCwzuwK4AuC4447LfnAiOVQ70oFIa5SvI13cAfzc3fc3VNDd73P3Cnev6Nq1azOEJiIiuZCXZ1hABTA3vAP9SGCkme1z99TnCxARkRYlLxOWu8faPMxsFvAnJSsRkdYtJwnLzOYAZwFHmlk18CugEMDdpze13qqqqq1m1rQRODPrSGBrroPIgJawHy1hH0D7kU9awj5A/uxH8pF562hRYwnmCzOrTHVsrHzWEvajJewDaD/ySUvYB4jmfuRrpwsREZGDKGGJiEgkKGFlx325DiBDWsJ+tIR9AO1HPmkJ+wAR3A9dwxIRkUjQGZaIiESCElYKzGy4ma0xs3fNbEqC9e3N7D/D9W/Ej5NoZjeEy9eY2bBU68yXfTCzc82sysxWhD+/HbfN4rDOZeHjqDzej1Iz2x0X6/S4bU4N9+9dM/uD1c6Znn/7MDYu/mVmdsDMysN1+XgsvmFmS8xsX90ZF8zsR2a2Lnz8KG55sx6LdPbDzMrN7DUzW2Vmb5vZRXHrZpnZhrjjUZ6P+xCu2x8X59Nxy3uGn7914eexXTb3ISXurkc9D6At8N/ACUA7YDlwUp0yVwLTw+cXA/8ZPj8pLN8e6BnW0zaVOvNoH/oD3cLnpwA1cdssBioicixKgZVJ6n0TOB0w4DlgRD7uQ50yZcD6PD8WpUBf4CFgdNzyLwPrw5+dw+edm/tYZGA/vgacGD7vBmwCisPXs+LL5us+hOs+SVLvo8DF4fPpwI+b6/OV7KEzrIadBrzr7uvd/QtgLnBBnTIXAA+Gzx8Dzg7/M7wAmOvue9x9A/BuWF8qdebFPrj7UnffGC5fBXQws/ZZjLU+6RyLhMzsWOAId3/Ng7/Mh4BRmQ89JlP7MAaYk8U4G9Lgfrj7e+7+NnCgzrbDgBfcfZu7bwdeAIbn4FiktR/uvtbd14XPNwKbgVwMaJrOsUgo/Lx9m+DzB8HnMdvHokFKWA3rDnwQ97o6XJawjLvvA3YCXerZNpU6MymdfYh3IbDU3ePnJ38gbEr412Zovkl3P3qa2VIz+6uZfT2ufHUDdWZSpo7FRRyasPLtWDR22+Y+FvXF0ihmdhrB2c1/xy2+NWwqvD3L/+Sluw8dzKzSzF43s9qk1AXYEX7+mlJnVihhNSzRH37drpXJyjR2ebaksw/BSrOTCSbU/Oe49WPdvQz4evi4JM04G5LOfmwCjnP3/sA1wCNmdkSKdWZSJo7FIOAzd4+fsTsfj0Vjt23uY1FfLKlXEJwZPgxMcPfaM5gbgN4E0yN9Gfh5OkE2FEKCZY3Zh+M8GPHih8AdZvaVDNSZFUpYDasGesS9LgE2JitjZgVAJ2BbPdumUmcmpbMPmFkJ8CQwzt1j/0G6e03482PgEYKmiWxq8n6EzbIfhfFWEfwn/LWwfPyscnl9LEIXU+fsKk+PRWO3be5jUV8sKQn/6fkzcJO7v1673N03eWAP8ADZPR5p7UNtk7+7rye4FtqfYIzB4vDz1+g6s0UJq2FvASeGPWbaEXxZPF2nzNNAbU+n0cCLYRv808DFYa+vnsCJBBeVU6kzL/bBzIoJ/iBvcPdXagubWYGZHRk+LwTOB1aSXensR1czaxvGewLBsVjv7puAj81scNiMNg54Kh/3IYy9DfB9gusUhMvy9VgkswAYamadzawzMBRYkINjAWnsR1j+SeAhd/9jnXXHhj+N4NpPNo9HOvvQuba5MkqDKeAAACAASURBVPwMDQFWh5+3RQSfPwg+j9k+Fg3Lda+PKDyAkcBagv/KbwyX/Rr4H+HzDsAfCTpVvAmcELftjeF2a4jr8ZSoznzcB+Am4FNgWdzjKOAwoAp4m6Azxu+Btnm8HxeGcS4HlgDfiauzguAL5b+BuwhvqM+3fQjXnQW8Xqe+fD0WAwn++/8U+AhYFbftpeH+vUvQlJaTY5HOfgD/BOyt87dRHq57EVgR7st/AIfn6T6cEca5PPx5WVydJ4Sfv3fDz2P7bB+Lhh4a6UJERCJBTYIiIhIJSlgiIhIJSlgiIhIJSlgiIhIJSlgiIhIJSlgiIhIJSlgiaTKzYjO7Mu51NzN7rL5t0nivUWb2ywzW9zuLmzJGJJ/pPiyRNFkwX9Wf3P2UZnivVwluBt2aofqOB2a4+9BM1CeSTTrDEknfVOAr4Ujp0yyYLHIlgJmNN7N5ZvaMBRP6XWVm14Sjxr9uZl8Oy33FzOZbMEnmy2bWu+6bmNnXgD21ycrMvm9mK81suZm9FC5rG8bwVjhS+D/HbX+9BZMjLjezqQDu/j7QxcyOyfpvSSRNBQ0XEZEGTAFOcffa2X9L66w/hWBA0Q4Ew9z83N37m9ntBOPl3QHcB0xy93XhaOz3EMxHFG8IwbBStX4JDHP3mnDMR4DLgJ3uPjAcI+4VM3ueYOTwUcAgd/+sNlGGloR1P97k34BIM1DCEsm+RR6Mov6xme0EngmXrwD6mtnhBGO6/TFuGqtE8ycdC2yJe/0KMMvMHgWeCJcNDeusHbS0E8FAv+cAD7j7ZwDuHj/6+2aCGXNF8poSlkj2xU94eSDu9QGCv8E2BJPllTdQz26CBASAu08Kz8bOA5aZWTnBPEY/cfcF8Rua2XCSz2fUIaxbJK/pGpZI+j4GOjZ1Y3ffBWwws+9DMCWFmfVLUPQd4Ku1L8zsK+7+hrv/kmD+oh4EU3f8OJxmBDP7mpkdBjwPXGpmXwqXxzcJfo3sT0cikjYlLJE0eTAx5CthB4hpTaxmLHCZmS0nmCLkggRlXgL62z/aDaeFnShWhuuWAzOB1cCScPn/AQrcfT7BHEmVZrYM+BeIzZ/1VaCyiXGLNBt1axeJEDP7PfCMu/8lQ/V9Fxjg7v+aifpEsklnWCLR8hvgSxmsrwD49wzWJ5I1OsMSEZFI0BmWiIhEghKWiIhEghKWiIhEghKWiIhEghKWiIhEghKWiIhEghKWiIhEghKWiIhEghKWiIhEghKWiIhEghKWiIhEghKWiIhEQouacfjII4/00tLSXIchIiIpqqqq2uruXVMp26ISVmlpKZWVmodORCQqzOz9VMuqSVBERCJBCUtERCJBCUtERCKhRV3DSmTv3r1UV1fz+eef5zoUkUbp0KEDJSUlFBYW5joUaUHmLa1h2oI1bNyxm27FRVw3rBej+nfPdVgpafEJq7q6mo4dO1JaWoqZ5TockZS4Ox999BHV1dX07Nkz1+FICzFvaQ03PLGC3Xv3A1CzYzc3PLECIBJJq8U3CX7++ed06dJFyUoixczo0qWLWgYko6YtWBNLVrV2793PtAVrchRR42QtYZlZDzNbZGbvmNkqM/tpgjJnmdlOM1sWPn4Zt264ma0xs3fNbEqasaSzuUhO6HMrmbZxx+5GLc832WwS3Adc6+5LzKwjUGVmL7j76jrlXnb38+MXmFlb4G7gXKAaeMvMnk6wrYiIpKhbcRE1CZJTt+KiHETTeFk7w3L3Te6+JHz+MfAOkGoj6WnAu+6+3t2/AOYCF2QnUhGR1uG6Yb0oKmx70LKiwrZcN6xXjiJqnGa5hmVmpUB/4I0Eq083s+Vm9pyZnRwu6w58EFemmiTJzsyuMLNKM6vcsmVL2rHOW1rDkKkv0nPKnxky9UXmLa1Ju87DDz887TpqXXfddfTu3Zu+ffvy3e9+lx07dgDwxRdfMGHCBMrKyujXrx+LFy+ut56qqirKysr46le/ytVXX427H1Jm8eLFdOrUifLycsrLy/n1r38dW7djxw5Gjx5N79696dOnD6+99hoAF110Uax8aWkp5eXlSWMYPnw4NTXB73fOnDnceuuth7y/mfHMM8/Elp1//vmxfVu4cCEDBgygvLycM888k3fffTdW7tFHH+Wkk07i5JNP5oc//GHSGA4cOMDVV1/NKaecQllZGQMHDmTDhg1AMHJKWVlZbH9effXV2Ha7du2ie/fuXHXVVQnrnTVrFhs3bkz6vrV+85vfNFhGJFNG9e/Obd8ro3txEQZ0Ly7itu+VRaLDBRD0RsrmAzgcqAK+l2DdEcDh4fORwLrw+feBmXHlLgHubOi9Tj31VK9r9erVhyxL5skl1d77puf8+J//KfbofdNz/uSS6pTrSOSwww5La/t4CxYs8L1797q7+/XXX+/XX3+9u7vfddddPn78eHd3//DDD33AgAG+f//+pPUMHDjQX331VT9w4IAPHz7cn3322UPKLFq0yM8777yE248bN85nzJjh7u579uzx7du3H1Lmmmuu8Ztvvjnh9p999pkPHDjwoPoqKysPef+SkhIfNGhQbNl5553nixYtcnf3E088MXZ87777bv/Rj37k7u5r16718vJy37Ztm7sHv49kHnnkEb/wwgtjv6sPPvggtt3xxx/vW7ZsSbjd1Vdf7WPGjPHJkycnXP/Nb37T33rrraTvW6uhz0ZjPr8iUQRUeor5JKtnWGZWCDwOzHb3JxIky13u/kn4/Fmg0MyOJDij6hFXtARo+N/VNGWzB80nn3zC2WefzYABAygrK+Opp54C4L333qNPnz5cfvnlnHzyyQwdOpTdu5NfAB06dCgFBcGlx8GDB1NdXQ3A6tWrOfvsswE46qijKC4uTjqu4qZNm9i1axenn346Zsa4ceOYN29eyvuya9cuXnrpJS677DIA2rVrR3Fx8UFl3J1HH32UMWPGJKxj8eLFnHXWWbGyy5YtY8CAAYeU69evH506deKFF144ZJ2ZsWvXLgB27txJt27dAJgxYwaTJ0+mc+fOQPD7SGbTpk0ce+yxtGkT/CmUlJTEtkumqqqKDz/8kKFDhyZc/9hjj1FZWcnYsWMpLy9n586d9OrVizVrgs/RmDFjmDFjBlOmTGH37t2Ul5czduzYet9TRLLbS9CA/wu84+7/O0mZY8JymNlpYTwfAW8BJ5pZTzNrB1wMPJ2tWGtlswdNhw4dePLJJ1myZAmLFi3i2muvjTXDrVu3jsmTJ7Nq1SqKi4t5/PHHU6rz/vvvZ8SIEUDwxf7UU0+xb98+NmzYQFVVFR988EHC7WpqaigpKYm9LikpiTXN1fXaa6/Rr18/RowYwapVqwBYv349Xbt2ZcKECfTv35+JEyfy6aefHrTdyy+/zNFHH82JJ56YsN7nnnuO4cOHA7B06VL69euXtFfcTTfdxC233HLI8pkzZzJy5EhKSkp4+OGHmTIl6Ey6du1a1q5dy5AhQxg8eDDz589PWC/AD37wA5555hnKy8u59tprWbp06UHrv/Wtb1FeXs6gQYOAoAnx2muvZdq0aUnrHD16NBUVFcyePZtly5bRqVMn7rrrLsaPH8/cuXPZvn07l19+OVOnTqWoqIhly5Yxe/bspPWJSCCbZ1hDCJryvh3XbX2kmU0ys0lhmdHASjNbDvwBuDg8S9wHXAUsIOis8ai7r8pirEDynjKZ6EHj7vziF7+gb9++nHPOOdTU1PDhhx8C0LNnz9i1nlNPPZX33nuvwfpuvfVWCgoKYv+ZX3rppZSUlFBRUcHPfvYzzjjjjNiZWKJY6kqULAYMGMD777/P8uXL+clPfsKoUaMA2LdvH0uWLOHHP/4xS5cu5bDDDmPq1KkHbTtnzpykZ1cAr7zyCmeeeSYA8+fPjyXeRL7+9a8DQRKMd/vtt/Pss89SXV3NhAkTuOaaa2LxrVu3jsWLFzNnzhwmTpwYu9ZXV0lJCWvWrOG2226jTZs2nH322SxcuDC2ftGiRSxbtow33gguv95zzz2MHDmSHj16JKwvmXPPPZeysjImT57MzJkzG7WtiASy1q3d3f8fUO+NJO5+F3BXknXPAs9mIbSkrhvW66C7wCFzPWhmz57Nli1bqKqqorCwkNLS0thNoe3bt4+Va9u2bb1NggAPPvggf/rTn1i4cGEs0RQUFHD77bfHypxxxhlJz25KSkpiTYkQjAZS25wW74gjjog9HzlyJFdeeSVbt26lpKSEkpKS2FnH6NGjD0pY+/bt44knnqCqqirh+69fv54ePXrQrl07AJ5//vkGzypvvPHGWJIG2LJlC8uXL4/FcNFFF8XO2EpKShg8eDCFhYX07NmTXr16sW7dOgYOHJiw7vbt2zNixAhGjBjB0Ucfzbx582LNq3W99tprvPzyy9xzzz188sknfPHFFxx++OGHJOy6Dhw4wDvvvENRURHbtm076AxXRFLT4ke6aIxs9qDZuXMnRx11FIWFhSxatIj33095CpiDzJ8/n9/+9rc8/fTTfOlLX4ot/+yzz2LNci+88AIFBQWcdNJJCes49thj6dixI6+//jruzkMPPcQFFxx618Df//732NnYm2++yYEDB+jSpQvHHHMMPXr0iF2TWbhw4UHv9Ze//IXevXsn/VKObw7cuXMn+/bto0uXLvXu99ChQ9m+fTvLly8HoHPnzuzcuZO1a9fG9rlPnz4AjBo1ikWLFgGwdetW1q5dywknnJCw3iVLlsR68x04cIC3336b448/Pmkcs2fP5m9/+xvvvfcev/vd7xg3blzCZNWxY0c+/vjj2Ovbb7+dPn36MGfOHC699FL27t0LQGFhYey5iNSvxY8l2Fij+nfPaBfPffv20b59e8aOHct3vvMdKioqKC8vp3fv3k2q76qrrmLPnj2ce+65QNDxYvr06WzevJlhw4bRpk0bunfvzsMPP1xvPffeey/jx49n9+7dsbMLgOnTpwMwadIkHnvsMe69914KCgooKipi7ty5sTO6O++8k7Fjx/LFF19wwgkn8MADD8Tqnjt3br3NgfPnz+fOO+8EgkRzzjnnpLTvN954YyyxFhQUMGPGDC688ELatGlD586duf/++wEYNmwYzz//PCeddBJt27Zl2rRpSRPi5s2bufzyy9mzZw8Ap512WtKu6g2ZOHEikyZNoqKigvHjxzNp0iSKiop48MEHmTlzJm+++SYdO3bkG9/4Brfccgs333wzV1xxBX379mXAgAG6jiXSAEt0PSOqKioqvG7PuHfeeSf2n3cuLF++nMsvv5w333wzZzHkkz179jBkyJBYD8aJEycyceJEBg8enOPI8lOuP78i2WZmVe5ekUpZnWFl0fTp0/nDH/7AHXfcketQ8kb79u0P6m6vDggikiolrCyaNGkSkyZNarhgApMnT+aVV145aNlPf/pTJkyY0Kh6Bg0aFGvuqvXwww9TVlbWpLiiasWKFVxyySUHLWvfvn2s95+I5L9WkbDcPXIjX999990ZqUdfyIGysjKWLVuW6zAapSU114tkQovvJdihQwc++ugj/fFLpHg4gWOHDh1yHYpI3mjxZ1i19xxlYmBckebUoUMH3a8lEqfFJ6zam0dFRCTaWnyToIiItAxKWCIiEglKWCIiEglKWCIiEglKWCIiEgnZnMCxh5ktMrN3zGyVmf00QZmxZvZ2+HjVzPrFrXvPzFaE82glnjpXRERajWx2a98HXOvuS8ysI1BlZi+4++q4MhuAb7r7djMbAdwHDIpb/y1335rFGEVEJCKyOYHjJmBT+PxjM3sH6A6sjivzatwmrwO6S1JERBJqlmtYZlYK9AfqG9juMuC5uNcOPG9mVWZ2RT11X2FmlWZWqdEsRERarqyPdGFmhwOPAz9z911JynyLIGGdGbd4iLtvNLOjgBfM7L/c/aW627r7fQRNiVRUVGjAQBGRFiqrZ1hmVkiQrGa7+xNJyvQFZgIXuPtHtcvdfWP4czPwJHBaNmMVEZH8ls1eggb8X+Add//fScocBzwBXOLua+OWHxZ21MDMDgOGAiuzFauIiOS/bDYJDgEuAVaYWe1ERL8AjgNw9+nAL4EuwD3hfFX7wqmSjwaeDJcVAI+4+/wsxioiInkum70E/x9Q76yJ7j4RmJhg+Xqg36FbiIhIa6WRLkREJBKUsEREJBKUsEREJBKUsEREJBIaTFhmdoKZPWNmW81ss5k9ZWYnNEdwIiIitVI5w3oEeBQ4BugG/BGYk82gRERE6kolYZm7P+zu+8LHfxCM8yciItJsUrkPa5GZTQHmEiSqi4A/m9mXAdx9Wxbjkzw2b2kN0xasYeOO3XQrLuK6Yb0Y1b97rsMSkRYqlYR1Ufjzn+ssv5Qggel6Vis0b2kNNzyxgt179wNQs2M3NzyxAkBJS0SyosGE5e49myMQiZZpC9bEklWt3Xv3M23BGiUsEcmKBhOWmbUFzgNK48snG9BWWoeNO3Y3armISLpSaRJ8BvgcWAEcyG44EhXdiouoSZCcuhUX5SAaEWkNUklYJe7eN+uRSKRcN6zXQdewAIoK23LdsF45jEpEWrJUurU/Z2ZDsx6JRMqo/t257XtldC8uwoDuxUXc9r0yXb8SkaxJ5QzrdYK5qdoAewmmDHF3P6K+jcysB/AQwQ3HB4D73P33dcoY8HtgJPAZMN7dl4TrfgTcFBa9xd0fTHmvpFmM6t9dCUpEmk0qCevfgdOBFe7emBuG9wHXuvuScPbgKjN7wd1Xx5UZAZwYPgYB9wKDwnu8fgVUEHSdrzKzp919eyPeX+rQfVMiEuXvgVSaBNcBKxuZrHD3TbVnS+7+MfAOUPe3cgHwkAdeB4rN7FhgGPCCu28Lk9QLwPDGvL8crPa+qZodu3H+cd/UvKU1uQ5NRJpJ1L8HUklYm4DFZnaDmV1T+2jMm5hZKdAfeKPOqu7AB3Gvq8NlyZYnqvsKM6s0s8otW7Y0JqxWpb77pkSkdYj690AqTYIbwke78NEoZnY48DjwM3ffVXd1gk28nuWHLnS/D7gPoKKiQmMcJtHa7puKcrOHSLZE/XsglZEubgYws8Pc/dPGVG5mhQTJara7P5GgSDXQI+51CbAxXH5WneWLG/PecrDWdN+Uho0SSSzq3wOpzId1upmtJrgGhZn1M7N7UtjOgP8LvFPPqBhPA+MsMBjY6e6bgAXAUDPrbGadgaHhMmmi64b1oqiw7UHLWup9U1Fv9hDJlqh/D6TSJHgHQSeIpwHcfbmZfSOF7YYAlwArzGxZuOwXwHFhPdOBZwm6tL9L0K19Qrhum5n9T+CtcLtft8ZR4TPZrFW7XWtoJot6s4dItkT9eyCVhIW7fxCcMMXsT1Y2bpv/R+JrUfFlHJicZN39wP2pxNcSZaNZq7XcNxX1Zg+RbIry90AqvQQ/MLMzADezdmb2L4TNg5I9atZquqg3e4hIYqmcYU0iGI2iO0FniOeBK7MZlKhZKx1RaPZQL0aRxkslYfVy97HxC8xsCPBKdkISiEazVj5/6eZzs4d6MYo0TSpNgnemuEwyKN+btaJ+x3wuqblXpGmSnmGZ2enAGUDXOiNbHAG0TbyVZEq+N2tpxuGmU3OvSNPU1yTYDjg8LNMxbvkuYHQ2g5JAPjdr6Uu36aLQ3CuSj5ImLHf/K/BXM5vl7u83Y0wSAfrSbTpNfinSNA1ew1KykkTy/RpbPtPklyJNk9KNwyJ15fs1tnyXz829IvlKCUuaTF+6ItKc6usleCdJpvQAcPersxKRiLQ4N81bwZw3PmC/O23NGDOoB7eMKst1WBIx9Z1hVTZbFCLSYt00bwX/8frfYq/3u8deK2lJY9TXS/DB+Ndm1jFY7J9kPSoRaTHmvPFB0uVKWNIYqcyHdYqZLQVWAqvNrMrMTk5hu/vNbLOZrUyy/jozWxY+VprZfjP7crjuPTNbEa7TmZ5IhO33xFcWki0XSSaVoZnuA65x9+Pd/TjgWmBGCtvNAoYnW+nu09y93N3LgRuAv9aZ8+pb4fqKFN5LRPJUW0s8y1Cy5SLJpJKwDnP3RbUv3H0xcFhDG7n7S0Cqky6OAeakWDZvzVtaw5CpL9Jzyp8ZMvVFjasnAowZ1KNRy0WSSSVhrTezfzWz0vBxE7AhUwGY2ZcIzsQej1vswPNh8+MVDWx/hZlVmlnlli1bMhVWo2kwWJHEbhlVxj8NPi52RtXWjH8afJyuX0mjmTfQjmxmnYGbgTMJZhB+Cfg3d9/eYOVmpcCf3P2UespcBPyTu38nblk3d99oZkcBLwA/Cc/Y6lVRUeGVlbm55DVk6osJhyrqXlzEK1O+nYOIRETyn5lVpXrpp8Ebh8PElM17ri6mTnOgu28Mf242syeB0wgSZd7SYLAiItnVYMIyswrgF0BpfHl375vum5tZJ+CbwD/FLTsMaOPuH4fPhwK/Tve9sq34S4Vs/2xvwuUideXz5Jci+SqVoZlmA9cBK4ADqVZsZnOAs4Ajzawa+BVQCODu08Ni3wWed/dP4zY9GnjSgvbuAuARd5+f6vvmSrKWVfXclbpa44zDStCSCakkrC3u/nRjK3b3MSmUmUXQ/T1+2XqgX2PfL9d27j707Kq+5dJ6tbbJL1tjgpbsSKWX4K/MbKaZjTGz79U+sh5ZxCSbB0rzQ0ldre16Z30JWqQxUklYE4Bygq7n3wkf52czqCjS/FCSqtb2z01rS9CSPak0CfZzd90w0QDNDyWpam0zDmt2asmUVBLW62Z2kruvzno0EZfp+aF0obplam3/3LS2BC3Zk8qNw+8AXyEY3WIPwc3Dnolu7ZmWyxuHIbMJpu6Fagj+yDWVukSR/vmSZDJ64zD1DGAr/5DpnlCtrSeZtGyanVoyIZWRLt5vjkCiLtMJRheqRUQOlkovQUlBphNMa+tJJiLSECWsDMl0glE3eRGRgylhZUimE8yo/t257XtldC8uwghGfVeHCxFpzVLpdCEpyEZXZV2oFhH5ByWsDFKCERHJHjUJiohIJChhiYhIJGQtYZnZ/Wa22cxWJll/lpntNLNl4eOXceuGm9kaM3vXzKZkK0YREYmObF7DmgXcBTxUT5mX3f2gkd/NrC1wN3AuUA28ZWZPt8axDDWcjYjIP2TtDMvdXwK2NWHT04B33X29u38BzAUuyGhwEVA71FPNjt04/xjqad7SmlyHJiKSE7m+hnW6mS03s+fM7ORwWXfgg7gy1eGyhMzsCjOrNLPKLVu2ZDPWZqVJ70REDpbLhLUEON7d+wF3AvPC5ZagbNIh5d39PnevcPeKrl27ZiHM3NBYgiIiB8vZfVjuvivu+bNmdo+ZHUlwRtUjrmgJsLG548u1bEx6p2tiIhJlOTvDMrNjzMzC56eFsXwEvAWcaGY9zawdcDHwdK7izJVMD/Wka2IiEnVZO8MysznAWcCRZlYN/AooBHD36cBo4Mdmtg/YDVzswWyS+8zsKmAB0Ba4391XZSvOfJXpoZ40v5aIRF3WEpa7j2lg/V0E3d4TrXsWeDYbcUVJJod60jUxEYm6XPcSlGai+bVEJOqUsFoJza8lIlGn0dpbiWxMfyIi0pyUsFoRTX8iIlGmJkEREYkEJSwREYkEJSwREYkEJSwREYkEJSwREYkEJSwREYkEJSwREYkEJSwREYkEJSwREYmEbE4vcj9wPrDZ3U9JsH4s8PPw5SfAj919ebjuPeBjYD+wz90rshWntEyarFKk5cnm0EyzCKYPeSjJ+g3AN919u5mNAO4DBsWt/5a7b81ifNJC1U5WWTv/V+1klYCSlkiEZa1J0N1fArbVs/5Vd98evnwdKMlWLNK61DdZpYhEV75cw7oMeC7utQPPm1mVmV2Ro5gkojRZpUjLlPPR2s3sWwQJ68y4xUPcfaOZHQW8YGb/FZ6xJdr+CuAKgOOOOy7r8Ur+61ZcRE2C5KTJKkWiLadnWGbWF5gJXODuH9Uud/eN4c/NwJPAacnqcPf73L3C3Su6du2a7ZAlAjRZpUjLlLOEZWbHAU8Al7j72rjlh5lZx9rnwFBgZW6ilCga1b87t32vjO7FRRjQvbiI275Xpg4XIhGXzW7tc4CzgCPNrBr4FVAI4O7TgV8CXYB7zAz+0X39aODJcFkB8Ii7z89WnNIyabJKkZYnawnL3cc0sH4iMDHB8vVAv2zFJSIi0ZQvvQRFRETqpYQlIiKRYO6e6xgyxsy2AO/nOg7gSKAljNLREvajJewDaD/ySUvYB8if/Tje3VPq4t2iEla+MLPKljD+YUvYj5awD6D9yCctYR8gmvuhJkEREYkEJSwREYkEJazsuC/XAWRIS9iPlrAPoP3IJy1hHyCC+6FrWCIiEgk6wxIRkUhQwhIRkUhQwkqBmQ03szVm9q6ZTUmwvr2Z/We4/g0zK41bd0O4fI2ZDUu1znzZBzM7N5yXbEX489tx2ywO61wWPo7K4/0oNbPdcbFOj9vm1HD/3jWzP1g4kGUe7sPYuPiXmdkBMysP1+XjsfiGmS0xs31mNrrOuh+Z2brw8aO45c16LNLZDzMrN7PXzGyVmb1tZhfFrZtlZhvijkd5Pu5DuG5/XJxPxy3vGX7+1oWfx3bZ3IeUuLse9TyAtsB/AycA7YDlwEl1ylwJTA+fXwz8Z/j8pLB8e6BnWE/bVOrMo33oD3QLn58C1MRtsxioiMixKAVWJqn3TeB0wAgmEh2Rj/tQp0wZsD7Pj0Up0Bd4CBgdt/zLwPrwZ+fweefmPhYZ2I+vASeGz7sBm4Di8PWs+LL5ug/huk+S1PsocHH4fDrw4+b6fCV76AyrYacB77r7enf/ApgLXFCnzAXAg+Hzx4Czw/8MLwDmuvsed98AvBvWl0qdebEP7r7Uw/nJgFVABzNrn8VY65POsUjIzI4FjnD31zz4y3wIGJX50GMytQ9jgDlZjLMhDe6Hu7/n7m8DB+psOwx4wd23uft24AVgeA6ORVr74e5r3X1d+HwjsBnIxaR86RyLhMLPqHjUdwAABe5JREFU27cJPn8QfB6zfSwapITVsO7AB3Gvq8NlCcu4+z5gJ8HUKcm2TaXOTEpnH+JdCCx19z1xyx4ImxL+tRmab9Ldj55mttTM/mpmX48rX91AnZmUqWNxEYcmrHw7Fo3dtrmPRX2xNIqZnUZwdvPfcYtvDZsKb8/yP3np7kMHM6s0s9fNrDYpdQF2hJ+/ptSZFUpYDUv0h1/3XoBkZRq7PFvS2YdgpdnJwG+Bf45bP9bdy4Cvh49L0oyzIensxybgOHfvD1wDPGJmR6RYZyZl4lgMAj5z9/iJTfPxWDR22+Y+FvXFknoFwZnhw8AEd689g7kB6A0MJGj6/Hk6QTYUQoJljdmH4zwYoumHwB1m9pUM1JkVSlgNqwZ6xL0uATYmK2NmBUAnYFs926ZSZyalsw+YWQnwJDDO3WP/Qbp7TfjzY+ARgqaJbGryfoTNsh+F8VYR/Cf8tbB8SQN1ZlJaxyJ0MXXOrvL0WDR22+Y+FvXFkpLwn54/Aze5++u1y919kwf2AA+Q3eOR1j7UNvl7MBfhYoLr1luB4vDz1+g6s0UJq2FvASeGPWbaEXxZPF2nzNNAbU+n0cCLYRv808DFYa+vnsCJBBeVU6kzL/bBzIoJ/iBvcPdXagubWYGZHRk+LwTOB1aSXensR1czaxvGewLBsVjv7puAj81scNiMNg54Kh/3IYy9DfB9gusUhMvy9VgkswAYamadzawzMBRYkINjAWnsR1j+SeAhd/9jnXXHhj+N4NpPNo9HOvvQuba5MvwMDQFWh5+3RQSfPwg+j9k+Fg3Lda+PKDyAkcBagv/KbwyX/Rr4H+HzDsAfCTpVvAmcELftjeF2a4jr8ZSoznzcB+Am4FNgWdzjKOAwoAp4m6Azxu+Btnm8HxeGcS4HlgDfiauzguAL5b+BuwhHgMm3fQjXnQW8Xqe+fD0WAwn++/8U+AhYFbftpeH+vUvQlJaTY5HOfvz/7d1NiE1xGMfx748pGiNigxKZabKYvJUUWw1lYSysWMgsvMRGwsYspYawUV6KhZW31FiMSRSNyCQ3EwtKFjbYoEjKY/H/X07TMDX33mlO/T41Tefcc577Mvf2dM4983uA7cDPEZ+NFfm2e8CL/FyuAC2T9DmszY+zkn93F2ouye+/N/n9OK3Rf4uxfhzNZGZmpeBTgmZmVgpuWGZmVgpuWGZmVgpuWGZmVgpuWGZmVgpuWGY1kjRb0t7C8gJJ1/+3Tw331SWpp471TqiQwG82mfmydrMaKY3/uB0RHRNwX49I/1vzqU71FgEXIqKzHvXMGslHWGa1Ow605uDZXqXZW8MAknZIuiWpT2k+0j5JB3II72NJc/J2rZL6lWaOPZS0dOSdSGoHflSblaStkoYlVSQ9yOum5sfwNAev7irsf0hp1lRF0nGAiHgHzJU0r+GvklmNmsbexMzGcAToiIjqMMXFI27vIOWzTSelBhyOiJWSTpHih04D54HdEfE6h9ueJY13KFpHSumo6gE2RMT7HKEF0A18jojVOXJnUNIAKYi1C1gTEd+qjTJ7lmvfGPcrYDYB3LDMGu9+pFDar5I+A315/QtgmaQWUkTOtcJUkNHGUcwHPhaWB4HLkq4CN/O6zlyzmgE3i5SbuB64FBHfACKiGKb7gTSA0GxSc8Mya7zi/LBfheVfpM/gFNLsobHGqH8nNSAAImJ3PhrbBFTHsAvYHxF3ijtK2si/x0NMz7XNJjV/h2VWu6/AzPHuHBFfgLeStkJK+Ja0fJRNXwFt1QVJrRHxJCJ6SOMgFpKS0Pfk1HYktUuaAQwAOyU15/XFU4LtND7d3axmblhmNYo0Z2swXwDRO84y24BuSRVS4vrmUbZ5AKzU3/OGvfkiiuF8WwW4CLwEnuX154CmiOgnjZwYkvQcOAh/xpG0AUPjfNxmE8aXtZuViKQzQF9E3K1TvS3Aqog4Wo96Zo3kIyyzcjkGNNexXhNwso71zBrGR1hmZlYKPsIyM7NScMMyM7NScMMyM7NScMMyM7NScMMyM7NS+A2xK0mEUk22KQAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 53 $$$ 53 $$$ 53 $$$ 53 $$$ 53 $$$ 53 $$$ 53 $$$ 53 $$$ 53 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.5926e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.573 +/- 0.013 uk (0.856787260175 %)\n",
      "mean Na temp = 1.593 +/- 0.008 uk\n",
      "111111    1.72014880952e-06\n",
      "222222       [28 29]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.72014880952e-06 *******\n",
      "init mol temp = 1.90847619048 (3.75201256672 %)\n",
      "mean mol temp = 1.72014880952 (3.53449768769 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 178.837912437E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 105.39929244k\n",
      "TOTAL Na num = 105.39929244k\n",
      "\n",
      "init mol temp/init Na temp = 1.19833994128\n",
      "init mol temp = 1.90847619048e-06 uk\n",
      "init na temp = 1.5926e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 3.02613169833\n",
      "\n",
      "init na num = 140.420165732 at 1.5926 uk\n",
      "init Na density = 1.93528679856e+11 cm^-3 (6.19243694107 %)\n",
      "\n",
      "init overlap density = 1.44749958499e+11 cm^-3 (9.0644007361 %) (34.2222641084 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.747950942498\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 24.6746462208 at 1.90847619048 uk\n",
      "init molecule density = 1.82678003759e+11 cm^-3 (8.84359271535 %)\n",
      "two-body rate coefficient = 2.99254256256e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.105226662726\n",
      "loss rate coefficient = 5.36318846006e-10 (13.8884796212 %) (35.8034895812 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 89.0057602703\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0792061739448\n",
      "\n",
      "loss rate from EXP fit = 77.9820478142\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.99254256256e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.103545982774\n",
      "loss rate coefficient = 5.56416931763e-10 (12.3115255917 %) (35.2217782401 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.99254256256e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.107457861497\n",
      "loss rate coefficient = 5.71491385648e-10 (12.6423050463 %) (35.3387588475 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 54 $$$ 54 $$$ 54 $$$ 54 $$$ 54 $$$ 54 $$$ 54 $$$ 54 $$$ 54 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.60866666667e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.593 +/- 0.016 uk (0.990448247173 %)\n",
      "mean Na temp = 1.609 +/- 0.009 uk\n",
      "111111    1.85302564103e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.85302564103e-06 *******\n",
      "init mol temp = 1.77335 (3.66185984837 %)\n",
      "mean mol temp = 1.85302564103 (3.33583284526 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 166.309945585E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 97.2990826368k\n",
      "TOTAL Na num = 97.2990826368k\n",
      "\n",
      "init mol temp/init Na temp = 1.10237256527\n",
      "init mol temp = 1.77335e-06 uk\n",
      "init na temp = 1.60866666667e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.95164410588\n",
      "\n",
      "init na num = 129.628510715 at 1.60866666667 uk\n",
      "init Na density = 1.75985690757e+11 cm^-3 (6.33057391181 %)\n",
      "\n",
      "init overlap density = 1.36513923659e+11 cm^-3 (8.8778028595 %) (34.1733139103 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.775710360724\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 25.1013775245 at 1.77335 uk\n",
      "init molecule density = 2.07477644363e+11 cm^-3 (8.67685174264 %)\n",
      "two-body rate coefficient = 2.7806610215e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0709252712505\n",
      "loss rate coefficient = 4.25199349638e-10 (11.3630684514 %) (34.9015662203 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 60.3679658405\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0599723409143\n",
      "\n",
      "loss rate from EXP fit = 58.4487521714\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.7806610215e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0707577858353\n",
      "loss rate coefficient = 4.3759827313e-10 (9.45762921082 %) (34.3285122062 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.7806610215e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0742848817273\n",
      "loss rate coefficient = 4.52410247348e-10 (9.72432744505 %) (34.4029438313 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.547\n",
      "\n",
      " $$$ 55 $$$ 55 $$$ 55 $$$ 55 $$$ 55 $$$ 55 $$$ 55 $$$ 55 $$$ 55 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.58058064516e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.506 +/- 0.126 uk (8.38173505119 %)\n",
      "mean Na temp = 1.581 +/- 0.044 uk\n",
      "111111    2.27456666667e-06\n",
      "222222       [29]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.27456666667e-06 *******\n",
      "init mol temp = 2.23783333333 (11.405687403 %)\n",
      "mean mol temp = 2.27456666667 (4.31461535093 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 178.70907562E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 92.7089176137k\n",
      "TOTAL Na num = 92.7089176137k\n",
      "\n",
      "init mol temp/init Na temp = 1.41582989782\n",
      "init mol temp = 2.23783333333e-06 uk\n",
      "init na temp = 1.58058064516e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.13033589192\n",
      "\n",
      "init na num = 128.029199211 at 1.58058064516 uk\n",
      "init Na density = 1.78467836847e+11 cm^-3 (7.70827077705 %)\n",
      "\n",
      "init overlap density = 1.23290049606e+11 cm^-3 (11.6006216738 %) (34.979628689 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.690825034831\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 19.9898189555 at 2.23783333333 uk\n",
      "init molecule density = 1.16555479368e+11 cm^-3 (19.1919212302 %)\n",
      "two-body rate coefficient = 3.50898351855e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.132579913703\n",
      "loss rate coefficient = 4.76743094928e-10 (17.6167181505 %) (37.4078702734 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 62.0272946883\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0979947877588\n",
      "\n",
      "loss rate from EXP fit = 59.0641305825\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.50898351855e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.132579820295\n",
      "loss rate coefficient = 4.76743088127e-10 (16.3764825394 %) (36.8400485934 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.50898351855e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.137988972247\n",
      "loss rate coefficient = 4.99277863582e-10 (16.8173915184 %) (37.0381513778 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 56 $$$ 56 $$$ 56 $$$ 56 $$$ 56 $$$ 56 $$$ 56 $$$ 56 $$$ 56 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.54792592593e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.413 +/- 0.108 uk (7.67125037006 %)\n",
      "mean Na temp = 1.548 +/- 0.055 uk\n",
      "111111    2.21927333333e-06\n",
      "222222       [21 22]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.21927333333e-06 *******\n",
      "init mol temp = 1.9459 (4.79202506639 %)\n",
      "mean mol temp = 2.21927333333 (5.47913023937 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 201.588954469E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 110.672078659k\n",
      "TOTAL Na num = 110.672078659k\n",
      "\n",
      "init mol temp/init Na temp = 1.25710149782\n",
      "init mol temp = 1.9459e-06 uk\n",
      "init na temp = 1.54792592593e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.3352958749\n",
      "\n",
      "init na num = 152.835972745 at 1.54792592593 uk\n",
      "init Na density = 2.19824575929e+11 cm^-3 (8.8541610098 %)\n",
      "\n",
      "init overlap density = 1.60858910058e+11 cm^-3 (10.5987595235 %) (34.6602611565 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.731760356538\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 26.3586397246 at 1.9459 uk\n",
      "init molecule density = 1.89542960163e+11 cm^-3 (9.70067040414 %)\n",
      "two-body rate coefficient = 3.05122411353e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.105220411393\n",
      "loss rate coefficient = 4.91928417022e-10 (14.9347598968 %) (36.222190066 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 77.7161207591\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0874785358499\n",
      "\n",
      "loss rate from EXP fit = 79.5442044981\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.05122411353e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.105268385048\n",
      "loss rate coefficient = 4.93399472882e-10 (13.1757948168 %) (35.5331052549 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.05122411353e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.111078765887\n",
      "loss rate coefficient = 5.18947029772e-10 (13.644492019 %) (35.7095528179 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 57 $$$ 57 $$$ 57 $$$ 57 $$$ 57 $$$ 57 $$$ 57 $$$ 57 $$$ 57 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.50553658537e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.414 +/- 0.07 uk (4.92863766558 %)\n",
      "mean Na temp = 1.506 +/- 0.032 uk\n",
      "111111    2.12026960784e-06\n",
      "222222       [18 29 32 33 34 39 40]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.12026960784e-06 *******\n",
      "init mol temp = 1.78672222222 (9.44728438738 %)\n",
      "mean mol temp = 2.12026960784 (3.54455929269 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 173.81557912E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 105.551537744k\n",
      "TOTAL Na num = 105.551537744k\n",
      "\n",
      "init mol temp/init Na temp = 1.18676772095\n",
      "init mol temp = 1.78672222222e-06 uk\n",
      "init na temp = 1.50553658537e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.23014636616\n",
      "\n",
      "init na num = 145.764606046 at 1.50553658537 uk\n",
      "init Na density = 2.18570241823e+11 cm^-3 (7.26070743589 %)\n",
      "\n",
      "init overlap density = 1.6419212347e+11 cm^-3 (10.2921885069 %) (34.5677471679 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.751209872397\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 16.6242045449 at 1.78672222222 uk\n",
      "init molecule density = 1.35869118346e+11 cm^-3 (16.9087784932 %)\n",
      "two-body rate coefficient = 2.80162902957e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0783835322123\n",
      "loss rate coefficient = 6.93256847331e-10 (12.9371142641 %) (35.4452948285 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 121.902445205\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0585389128748\n",
      "\n",
      "loss rate from EXP fit = 114.055932229\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.80162902957e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0779088771806\n",
      "loss rate coefficient = 7.53868653492e-10 (11.1495834402 %) (34.8326457636 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.80162902957e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0805522772016\n",
      "loss rate coefficient = 7.25395253597e-10 (11.3358710772 %) (34.8927209183 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 58 $$$ 58 $$$ 58 $$$ 58 $$$ 58 $$$ 58 $$$ 58 $$$ 58 $$$ 58 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.6425e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.577 +/- 0.105 uk (6.63668458983 %)\n",
      "mean Na temp = 1.642 +/- 0.039 uk\n",
      "111111    1.93073076923e-06\n",
      "222222       [25 26]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.93073076923e-06 *******\n",
      "init mol temp = 2.00583333333 (6.16992174895 %)\n",
      "mean mol temp = 1.93073076923 (2.48269660099 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 183.245873202E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 100.712616262k\n",
      "TOTAL Na num = 100.712616262k\n",
      "\n",
      "init mol temp/init Na temp = 1.22120750888\n",
      "init mol temp = 2.00583333333e-06 uk\n",
      "init na temp = 1.6425e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.41343875039\n",
      "\n",
      "init na num = 139.082150266 at 1.6425 uk\n",
      "init Na density = 1.83016079995e+11 cm^-3 (7.60621040329 %)\n",
      "\n",
      "init overlap density = 1.35721049252e+11 cm^-3 (10.0703623752 %) (34.5023506209 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.741579916124\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 17.9302909097 at 2.00583333333 uk\n",
      "init molecule density = 1.23199944264e+11 cm^-3 (11.1899372221 %)\n",
      "two-body rate coefficient = 3.14520120993e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0823542045003\n",
      "loss rate coefficient = 8.13317619243e-10 (13.0090102758 %) (35.4715991796 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 114.769526366\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0632127714728\n",
      "\n",
      "loss rate from EXP fit = 110.622636643\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.14520120993e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0823456750738\n",
      "loss rate coefficient = 8.16293110616e-10 (11.1514897126 %) (34.8332559892 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.14520120993e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.085337461969\n",
      "loss rate coefficient = 8.55836516038e-10 (11.3742008479 %) (34.9051922345 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 59 $$$ 59 $$$ 59 $$$ 59 $$$ 59 $$$ 59 $$$ 59 $$$ 59 $$$ 59 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.46533333333e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.672 +/- 0.159 uk (9.52364868577 %)\n",
      "mean Na temp = 1.465 +/- 0.056 uk\n",
      "111111    2.65511111111e-06\n",
      "222222       [ 1  3  8 14 18 28]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.65511111111e-06 *******\n",
      "init mol temp = 3.11814444444 (6.95523504765 %)\n",
      "mean mol temp = 2.65511111111 (4.36673747022 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 198.517133099E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 117.430232588k\n",
      "TOTAL Na num = 117.430232588k\n",
      "\n",
      "init mol temp/init Na temp = 2.12794206855\n",
      "init mol temp = 3.11814444444e-06 uk\n",
      "init na temp = 1.46533333333e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.39303719341\n",
      "\n",
      "init na num = 162.168850941 at 1.46533333333 uk\n",
      "init Na density = 2.53243738334e+11 cm^-3 (8.88159160689 %)\n",
      "\n",
      "init overlap density = 1.384308903e+11 cm^-3 (12.7583028168 %) (35.3804224221 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.546631048851\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 25.6393240355 at 3.11814444444 uk\n",
      "init molecule density = 90892420437.4 cm^-3 (13.4334443032 %)\n",
      "two-body rate coefficient = 4.88933527847e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.104005741052\n",
      "loss rate coefficient = 7.21791151646e-10 (16.4604444801 %) (36.8774488337 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 109.449200248\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0771326121401\n",
      "\n",
      "loss rate from EXP fit = 100.195864932\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 4.88933527847e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.102610497514\n",
      "loss rate coefficient = 7.71646183403e-10 (14.8897313652 %) (36.203647608 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 4.88933527847e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.107369260293\n",
      "loss rate coefficient = 7.66341006627e-10 (15.2215813464 %) (36.3413887831 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.66\n",
      "\n",
      " $$$ 60 $$$ 60 $$$ 60 $$$ 60 $$$ 60 $$$ 60 $$$ 60 $$$ 60 $$$ 60 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.23007142857e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.203 +/- 0.032 uk (2.67347702982 %)\n",
      "mean Na temp = 1.23 +/- 0.017 uk\n",
      "111111    1.68240277778e-06\n",
      "222222       [12 13]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.68240277778e-06 *******\n",
      "init mol temp = 1.5225 (8.55900857308 %)\n",
      "mean mol temp = 1.68240277778 (5.31489517635 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 348.197118442E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 235.266585636k\n",
      "TOTAL Na num = 235.266585636k\n",
      "\n",
      "init mol temp/init Na temp = 1.23773300041\n",
      "init mol temp = 1.5225e-06 uk\n",
      "init na temp = 1.23007142857e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.4507413976\n",
      "\n",
      "init na num = 269.271976994 at 1.23007142857 uk\n",
      "init Na density = 5.46728334807e+11 cm^-3 (6.79428815463 %)\n",
      "\n",
      "init overlap density = 4.02956228462e+11 cm^-3 (10.1280560625 %) (34.519234053 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.737031909282\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 16.0432509322 at 1.5225 uk\n",
      "init molecule density = 1.66694728578e+11 cm^-3 (15.3486974692 %)\n",
      "two-body rate coefficient = 2.38732140031e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.141023343057\n",
      "loss rate coefficient = 4.71337792331e-11 (17.3624120581 %) (37.2887831992 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 19.0224713212\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.106353169295\n",
      "\n",
      "loss rate from EXP fit = 19.2736605601\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.38732140031e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.141139014627\n",
      "loss rate coefficient = 4.80541013033e-11 (16.1213286474 %) (36.7273363771 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.38732140031e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.143207278672\n",
      "loss rate coefficient = 4.79873625528e-11 (16.3027074287 %) (36.8073127178 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 61 $$$ 61 $$$ 61 $$$ 61 $$$ 61 $$$ 61 $$$ 61 $$$ 61 $$$ 61 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.37180769231e-06\n",
      "222222       [6]\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.072 +/- 0.102 uk (9.51689906897 %)\n",
      "mean Na temp = 1.372 +/- 0.072 uk\n",
      "111111    1.66893209877e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.66893209877e-06 *******\n",
      "init mol temp = 1.613125 (2.59996320477 %)\n",
      "mean mol temp = 1.66893209877 (2.41735475566 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 207.048269927E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 142.323619327k\n",
      "TOTAL Na num = 142.323619327k\n",
      "\n",
      "init mol temp/init Na temp = 1.17591190737\n",
      "init mol temp = 1.613125e-06 uk\n",
      "init na temp = 1.37180769231e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.27104818107\n",
      "\n",
      "init na num = 162.895050505 at 1.37180769231 uk\n",
      "init Na density = 2.80830296101e+11 cm^-3 (10.6254981024 %)\n",
      "\n",
      "init overlap density = 2.1182709709e+11 cm^-3 (11.1090542896 %) (34.8196939563 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.754288622099\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 26.6492095535 at 1.613125 uk\n",
      "init molecule density = 2.53891254164e+11 cm^-3 (8.29804406071 %)\n",
      "two-body rate coefficient = 2.52942386461e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0827141410666\n",
      "loss rate coefficient = 4.02767815315e-11 (13.8501761192 %) (35.7886487386 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 9.54210147791\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.058785262548\n",
      "\n",
      "loss rate from EXP fit = 8.93499407069\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.52942386461e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0822345594543\n",
      "loss rate coefficient = 4.15216750191e-11 (11.8157368222 %) (35.0515568363 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.52942386461e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0856723531533\n",
      "loss rate coefficient = 4.28101228791e-11 (12.057525862 %) (35.133800391 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 62 $$$ 62 $$$ 62 $$$ 62 $$$ 62 $$$ 62 $$$ 62 $$$ 62 $$$ 62 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.40503979865e-06\n",
      "222222       [5]\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.451 +/- 0.038 uk (2.63074927877 %)\n",
      "mean Na temp = 1.405 +/- 0.045 uk\n",
      "111111    2.40032539683e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.40032539683e-06 *******\n",
      "init mol temp = 2.69861111111 (3.99806888857 %)\n",
      "mean mol temp = 2.40032539683 (4.84617613447 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 133.564864014E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 102.111121152k\n",
      "TOTAL Na num = 102.111121152k\n",
      "\n",
      "init mol temp/init Na temp = 1.92066524643\n",
      "init mol temp = 2.69861111111e-06 uk\n",
      "init na temp = 1.40503979865e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.79917520061\n",
      "\n",
      "init na num = 116.870244839 at 1.40503979865 uk\n",
      "init Na density = 1.94377921857e+11 cm^-3 (9.35518270166 %)\n",
      "\n",
      "init overlap density = 1.13327371111e+11 cm^-3 (12.4379524968 %) (35.2661688068 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.583025942599\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 13.9032559966 at 2.69861111111 uk\n",
      "init molecule density = 61216924199.1 cm^-3 (8.6529542968 %)\n",
      "two-body rate coefficient = 4.23149560372e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.140779253099\n",
      "loss rate coefficient = 5.62674233553e-10 (18.7853837688 %) (37.9722351639 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 68.7310127678\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0981354427092\n",
      "\n",
      "loss rate from EXP fit = 63.9322798511\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 4.23149560372e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.140756161159\n",
      "loss rate coefficient = 6.33055712988e-10 (16.9738680921 %) (37.1094623783 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 4.23149560372e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.145087938231\n",
      "loss rate coefficient = 5.86467668299e-10 (17.3347721984 %) (37.2759215469 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 63 $$$ 63 $$$ 63 $$$ 63 $$$ 63 $$$ 63 $$$ 63 $$$ 63 $$$ 63 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.38789473684e-06\n",
      "222222       [11]\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.357 +/- 0.157 uk (11.5466088573 %)\n",
      "mean Na temp = 1.388 +/- 0.062 uk\n",
      "111111    1.76175e-06\n",
      "222222       []\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.76175e-06 *******\n",
      "init mol temp = 1.59258333333 (6.20255066283 %)\n",
      "mean mol temp = 1.76175 (6.33951177527 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 161.576656228E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 109.615051078k\n",
      "TOTAL Na num = 109.615051078k\n",
      "\n",
      "init mol temp/init Na temp = 1.14748135508\n",
      "init mol temp = 1.59258333333e-06 uk\n",
      "init na temp = 1.38789473684e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.11281607507\n",
      "\n",
      "init na num = 125.458791491 at 1.38789473684 uk\n",
      "init Na density = 2.12540758657e+11 cm^-3 (10.2026130861 %)\n",
      "\n",
      "init overlap density = 1.62052144316e+11 cm^-3 (11.316801297 %) (34.8865302315 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.762452083735\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 18.9205176956 at 1.59258333333 uk\n",
      "init molecule density = 1.83757556581e+11 cm^-3 (12.5471224965 %)\n",
      "two-body rate coefficient = 2.4972139727e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0994580912527\n",
      "loss rate coefficient = 3.84828098393e-10 (15.0661577966 %) (36.2765642082 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 65.5703317978\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0779796668956\n",
      "\n",
      "loss rate from EXP fit = 62.6590242633\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4972139727e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0990403999252\n",
      "loss rate coefficient = 3.92860463689e-10 (12.908194517 %) (35.4347496914 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4972139727e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.102812984597\n",
      "loss rate coefficient = 4.0687955884e-10 (13.1998702847 %) (35.5420395523 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 64 $$$ 64 $$$ 64 $$$ 64 $$$ 64 $$$ 64 $$$ 64 $$$ 64 $$$ 64 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.2215625e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.241 +/- 0.066 uk (5.32818544853 %)\n",
      "mean Na temp = 1.222 +/- 0.049 uk\n",
      "111111    1.80766666667e-06\n",
      "222222       [13]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.80766666667e-06 *******\n",
      "init mol temp = 1.57244444444 (0.603262354257 %)\n",
      "mean mol temp = 1.80766666667 (5.42803798146 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 153.045941027E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 119.151914618k\n",
      "TOTAL Na num = 119.151914618k\n",
      "\n",
      "init mol temp/init Na temp = 1.28724027174\n",
      "init mol temp = 1.57244444444e-06 uk\n",
      "init na temp = 1.2215625e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.78699972177\n",
      "\n",
      "init na num = 136.374111628 at 1.2215625 uk\n",
      "init Na density = 2.7979137094e+11 cm^-3 (9.6632255222 %)\n",
      "\n",
      "init overlap density = 2.02479821742e+11 cm^-3 (10.9321208512 %) (34.7636486334 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.723681438287\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 21.7737222745 at 1.57244444444 uk\n",
      "init molecule density = 2.15543611508e+11 cm^-3 (6.74606980128 %)\n",
      "two-body rate coefficient = 2.4656356473e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.119593071685\n",
      "loss rate coefficient = 1.66129883791e-10 (16.2029717723 %) (36.7632465141 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 39.0493037205\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0859756673531\n",
      "\n",
      "loss rate from EXP fit = 33.9498625338\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4656356473e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.10803697762\n",
      "loss rate coefficient = 1.89826034206e-10 (13.4009339926 %) (35.6172013481 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4656356473e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.119810269111\n",
      "loss rate coefficient = 1.77727711013e-10 (14.3669813248 %) (35.9918067397 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 65 $$$ 65 $$$ 65 $$$ 65 $$$ 65 $$$ 65 $$$ 65 $$$ 65 $$$ 65 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.50382352941e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.381 +/- 0.065 uk (4.70840520436 %)\n",
      "mean Na temp = 1.504 +/- 0.066 uk\n",
      "111111    1.74604166667e-06\n",
      "222222       [15]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.74604166667e-06 *******\n",
      "init mol temp = 1.605875 (3.51702854422 %)\n",
      "mean mol temp = 1.74604166667 (5.17453891937 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 182.180721832E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 133.264828228k\n",
      "TOTAL Na num = 133.264828228k\n",
      "\n",
      "init mol temp/init Na temp = 1.06786133385\n",
      "init mol temp = 1.605875e-06 uk\n",
      "init na temp = 1.50382352941e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.24007375591\n",
      "\n",
      "init na num = 152.526903316 at 1.50382352941 uk\n",
      "init Na density = 2.29101039364e+11 cm^-3 (9.77224193063 %)\n",
      "\n",
      "init overlap density = 1.80099871286e+11 cm^-3 (10.5699171688 %) (34.6514523354 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.786115470214\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 13.2722445583 at 1.605875 uk\n",
      "init molecule density = 1.27304047467e+11 cm^-3 (10.4710147434 %)\n",
      "two-body rate coefficient = 2.51805566747e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.139875750253\n",
      "loss rate coefficient = 1.45547232743e-10 (17.5321249152 %) (37.3681067763 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 25.3571710665\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.114728687636\n",
      "\n",
      "loss rate from EXP fit = 26.4444104169\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.51805566747e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.141787039391\n",
      "loss rate coefficient = 1.58577146905e-10 (16.1605976087 %) (36.7445902831 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.51805566747e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.143456715628\n",
      "loss rate coefficient = 1.49351916713e-10 (16.3072855579 %) (36.8093406932 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.635\n",
      "\n",
      " $$$ 66 $$$ 66 $$$ 66 $$$ 66 $$$ 66 $$$ 66 $$$ 66 $$$ 66 $$$ 66 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.2304e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.203 +/- 0.027 uk (2.27930621573 %)\n",
      "mean Na temp = 1.23 +/- 0.014 uk\n",
      "111111    1.36428888889e-06\n",
      "222222       [10 14 16 18 19]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 1.36428888889e-06 *******\n",
      "init mol temp = 1.40045833333 (2.63793628062 %)\n",
      "mean mol temp = 1.36428888889 (3.10152127404 %)\n",
      "\n",
      " --- lattice factor: 1241.03409039 for Na num 611.71588711E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 401.249486104k\n",
      "TOTAL Na num = 401.249486104k\n",
      "\n",
      "init mol temp/init Na temp = 1.13821385999\n",
      "init mol temp = 1.40045833333e-06 uk\n",
      "init na temp = 1.2304e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.69762356735\n",
      "\n",
      "init na num = 509.163252959 at 1.2304 uk\n",
      "init Na density = 1.03338817752e+12 cm^-3 (6.51740189951 %)\n",
      "\n",
      "init overlap density = 7.90691792961e+11 cm^-3 (8.98038373152 %) (34.2001066075 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.765144996007\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 21.769675203 at 1.40045833333 uk\n",
      "init molecule density = 2.56396506341e+11 cm^-3 (8.06940635963 %)\n",
      "two-body rate coefficient = 2.19595674838e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0785255302594\n",
      "loss rate coefficient = 8.17830363134e-12 (11.9293705195 %) (35.0900253775 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 6.8755663238\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0600406576292\n",
      "\n",
      "loss rate from EXP fit = 6.80478200461\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.19595674838e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0785036508602\n",
      "loss rate coefficient = 8.37141638987e-12 (10.1399593212 %) (34.5227283834 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.19595674838e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.079412848951\n",
      "loss rate coefficient = 8.31559766193e-12 (10.2105116834 %) (34.543516741 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 67 $$$ 67 $$$ 67 $$$ 67 $$$ 67 $$$ 67 $$$ 67 $$$ 67 $$$ 67 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.39526086957e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.226 +/- 0.06 uk (4.88396756531 %)\n",
      "mean Na temp = 1.395 +/- 0.049 uk\n",
      "111111    2.80509090909e-06\n",
      "222222       [14]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.80509090909e-06 *******\n",
      "init mol temp = 2.73953333333 (4.13082222637 %)\n",
      "mean mol temp = 2.80509090909 (4.35051755813 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 130.821339612E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 78.1580076887k\n",
      "TOTAL Na num = 78.1580076887k\n",
      "\n",
      "init mol temp/init Na temp = 1.96345600532\n",
      "init mol temp = 2.73953333333e-06 uk\n",
      "init na temp = 1.39526086957e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.72213205457\n",
      "\n",
      "init na num = 92.9768010474 at 1.39526086957 uk\n",
      "init Na density = 1.56267044357e+11 cm^-3 (8.94679914017 %)\n",
      "\n",
      "init overlap density = 89882852578.0 cm^-3 (12.1104936135 %) (35.152013535 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.575187512812\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 14.604775721 at 2.73953333333 uk\n",
      "init molecule density = 62870288076.9 cm^-3 (10.2915965521 %)\n",
      "two-body rate coefficient = 4.29566276093e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.12036841266\n",
      "loss rate coefficient = 5.73043942852e-10 (17.074823666 %) (37.1557479164 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 57.955821735\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0925150375537\n",
      "\n",
      "loss rate from EXP fit = 51.6690847461\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 4.29566276093e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.120369386522\n",
      "loss rate coefficient = 5.73044612662e-10 (15.455995692 %) (36.4401948792 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 4.29566276093e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.12309491002\n",
      "loss rate coefficient = 6.10773123447e-10 (15.6691888572 %) (36.5311302788 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 68 $$$ 68 $$$ 68 $$$ 68 $$$ 68 $$$ 68 $$$ 68 $$$ 68 $$$ 68 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.56704545455e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.338 +/- 0.075 uk (5.59304295007 %)\n",
      "mean Na temp = 1.567 +/- 0.11 uk\n",
      "111111    2.52452631579e-06\n",
      "222222       [18 20 21]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.52452631579e-06 *******\n",
      "init mol temp = 2.6245 (2.38256888268 %)\n",
      "mean mol temp = 2.52452631579 (5.30094650225 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 128.726052513E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 71.5131430037k\n",
      "TOTAL Na num = 71.5131430037k\n",
      "\n",
      "init mol temp/init Na temp = 1.67480783176\n",
      "init mol temp = 2.6245e-06 uk\n",
      "init na temp = 1.56704545455e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.32082414661\n",
      "\n",
      "init na num = 85.0720670339 at 1.56704545455 uk\n",
      "init Na density = 1.20126967564e+11 cm^-3 (13.7145465336 %)\n",
      "\n",
      "init overlap density = 75887739510.5 cm^-3 (13.6694306655 %) (35.7190892202 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.631729419709\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 13.5169842207 at 2.6245 uk\n",
      "init molecule density = 62054800398.1 cm^-3 (8.77126003313 %)\n",
      "two-body rate coefficient = 4.11528736624e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0864028286797\n",
      "loss rate coefficient = 8.66019619276e-10 (16.1712035037 %) (36.7492560844 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 69.9594281023\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0703615785509\n",
      "\n",
      "loss rate from EXP fit = 65.8723285831\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 4.11528736624e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0864005463766\n",
      "loss rate coefficient = 8.66020641937e-10 (13.5683218668 %) (35.6805179094 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 4.11528736624e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0903258289082\n",
      "loss rate coefficient = 9.25410832942e-10 (13.82159064 %) (35.7775958921 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 69 $$$ 69 $$$ 69 $$$ 69 $$$ 69 $$$ 69 $$$ 69 $$$ 69 $$$ 69 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.32894117647e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.349 +/- 0.125 uk (9.24134732379 %)\n",
      "mean Na temp = 1.329 +/- 0.056 uk\n",
      "111111    2.73264583333e-06\n",
      "222222       [16]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.73264583333e-06 *******\n",
      "init mol temp = 2.71633333333 (3.3457425329 %)\n",
      "mean mol temp = 2.73264583333 (5.38232988813 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 104.147867881E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 74.5716204604k\n",
      "TOTAL Na num = 74.5716204604k\n",
      "\n",
      "init mol temp/init Na temp = 2.04398312087\n",
      "init mol temp = 2.71633333333e-06 uk\n",
      "init na temp = 1.32894117647e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.73157788682\n",
      "\n",
      "init na num = 88.7104331899 at 1.32894117647 uk\n",
      "init Na density = 1.60395427323e+11 cm^-3 (9.4325756911 %)\n",
      "\n",
      "init overlap density = 89966481910.3 cm^-3 (12.1967835497 %) (35.181835213 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.560904281449\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 16.8568188613 at 2.71633333333 uk\n",
      "init molecule density = 73496467739.9 cm^-3 (8.90044217957 %)\n",
      "two-body rate coefficient = 4.25928453007e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.083377770893\n",
      "loss rate coefficient = 6.79446257605e-10 (14.7743039006 %) (36.156328018 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 67.2965973481\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0661434376962\n",
      "\n",
      "loss rate from EXP fit = 61.3110322734\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 4.25928453007e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0809830632314\n",
      "loss rate coefficient = 7.40235803431e-10 (12.8491699683 %) (35.4132908507 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 4.25928453007e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0861687957068\n",
      "loss rate coefficient = 7.37629752875e-10 (13.1821552527 %) (35.5354642169 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " $$$ 70 $$$ 70 $$$ 70 $$$ 70 $$$ 70 $$$ 70 $$$ 70 $$$ 70 $$$ 70 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "111111    1.51452e-06\n",
      "222222       []\n",
      "~~~~~~~ Na temperature < 3.0uK and < 0.75uk ~~~~~~~\n",
      "initial Na temp = 1.383 +/- 0.074 uk (5.32000298985 %)\n",
      "mean Na temp = 1.515 +/- 0.06 uk\n",
      "111111    2.39693055556e-06\n",
      "222222       [24]\n",
      "****** molecule temperature > 4.0uK and < 1.0uk REPLACED as 2.39693055556e-06 *******\n",
      "init mol temp = 2.280125 (5.37277002449 %)\n",
      "mean mol temp = 2.39693055556 (5.21560613428 %)\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 160.409769603E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 106.096363977k\n",
      "TOTAL Na num = 106.096363977k\n",
      "\n",
      "init mol temp/init Na temp = 1.50550999657\n",
      "init mol temp = 2.280125e-06 uk\n",
      "init na temp = 1.51452e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.32696843093\n",
      "\n",
      "init na num = 126.212282235 at 1.51452 uk\n",
      "init Na density = 1.87570709292e+11 cm^-3 (9.31198178453 %)\n",
      "\n",
      "init overlap density = 1.25551181668e+11 cm^-3 (11.4088789952 %) (34.9165078427 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.669353878021\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 11.9620564591 at 2.280125 uk\n",
      "init molecule density = 67816177245.0 cm^-3 (12.3944519456 %)\n",
      "two-body rate coefficient = 3.57529800189e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.111916862673\n",
      "loss rate coefficient = 4.91409127356e-10 (15.9817508876 %) (36.6662837145 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 64.9548583066\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0862921032796\n",
      "\n",
      "loss rate from EXP fit = 61.8486533608\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.57529800189e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.110927731695\n",
      "loss rate coefficient = 5.0993420881e-10 (14.2217810651 %) (35.9340932356 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.57529800189e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.114014477182\n",
      "loss rate coefficient = 5.09551900996e-10 (14.4638324847 %) (36.0305766002 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "molecule's TOF offset list: \n",
      "[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, -1.13e-06, 0.0, 0.0, 0.0, 0.0, -1.13e-06, -1.13e-06, -1.13e-06, -1.13e-06]\n",
      "\n",
      " List of reading fails:\n",
      "[]\n",
      "\n",
      "\n",
      "[['Apr_1_0.5', 0, 13], ['Apr_28_0.558', 14, 27], ['Apr_5_0.73', 28, 34], ['Feb_15_0.89', 35, 36], ['Feb_1_0.798', 37, 38], ['Jan_28_0.595', 39, 50], ['Jan_29_0.567', 51, 54], ['Mar_31_0.547', 55, 59], ['May_6_0.66', 60, 65], ['May_7_0.635', 66, 70]]\n"
     ]
    }
   ],
   "source": [
    "working_dir = os.getcwd()\n",
    "\n",
    "working_dir = join(os.getcwd(), join('980G', 'rawdata_combined'))\n",
    "date_list = os.listdir(working_dir)\n",
    "print(date_list)\n",
    "\n",
    "B_list = []\n",
    "coeff_fm_list = []\n",
    "coeff_pa_list = []\n",
    "coeff_exp_list = []\n",
    "coeff_expoffset_list = []\n",
    "\n",
    "coeff_fm_sig_list = []\n",
    "coeff_pa_sig_list = []\n",
    "coeff_exp_sig_list = []\n",
    "coeff_expoffset_sig_list = []\n",
    "\n",
    "init_na_temp_list = []\n",
    "init_na_temp_sig_list = []\n",
    "init_mol_temp_list = []\n",
    "init_mol_temp_sig_list = []\n",
    "mean_na_temp_list = []\n",
    "mean_na_temp_sig_list = []\n",
    "mean_mol_temp_list = []\n",
    "mean_mol_temp_sig_list = []\n",
    "\n",
    "init_na_num_pancakes =[]\n",
    "mean_na_num_pancakes=[]\n",
    "init_mol_num_pancakes =[]\n",
    "mean_mol_num_pancakes =[]\n",
    "\n",
    "failed_list = []\n",
    "TOFoffset_list =[]\n",
    "mean_na_num_temp_list = []\n",
    "num_pancakes_temp_list = []\n",
    "\n",
    "c = 0\n",
    "date_mark_list= []\n",
    "for i, date in enumerate(date_list):\n",
    "    date_mark = [date, c]\n",
    "\n",
    "    polar_correct = float(date[date.index('.')-1:])\n",
    "    print(polar_correct)\n",
    "    sub_dir = join(working_dir, date)\n",
    "\n",
    "    file_list = os.listdir(sub_dir)\n",
    "    for f in file_list:       \n",
    "        N = float(f[f.index('N')+1:f.index('_')])\n",
    "        SF = f[f.index('F')+1:f.index('x')-2]\n",
    "        if SF[-1].isdigit() is False:\n",
    "            SF = float(SF[:-1])\n",
    "        else:\n",
    "            SF = float(SF)\n",
    "\n",
    "        if date[:date.index('.')-2] == 'May_6' or date[:date.index('.')-2] == 'May_7':\n",
    "            if N == 86 and (SF == 5.93 or SF == 5.25 or SF == 4.5 or SF == 6.5):\n",
    "                TOFoffset = -1.13e-6 ## for TOF 0.17 + 0.5ms\n",
    "            else:\n",
    "                TOFoffset = 0.\n",
    "        else:\n",
    "            TOFoffset = 0.\n",
    "                \n",
    "        TOFoffset_list.append(TOFoffset)\n",
    "            \n",
    "        if int(N) == 86:\n",
    "            calibration = 0.005\n",
    "        else:\n",
    "            calibration = 0.016\n",
    "            \n",
    "#         B = calibration * 547.24 * N + (SF - 6.57) * 1.92 + 745.24\n",
    "        B = calibration * 547.24 * N + (SF - 6.75) * 1.92 + 745.24\n",
    "\n",
    "        callThis = join(sub_dir, f)\n",
    "        try:\n",
    "            data = np.loadtxt(callThis, delimiter='\\t', unpack=True, usecols=(1,9,10,13,14))\n",
    "        except:\n",
    "            print(\"!!!!!!!!!!!!!!!!!!!!!!!!!!!!\")\n",
    "            print(\"   txt loading failed at   \")\n",
    "            print(N, SF)\n",
    "            failed_list.append(date + \"_\" + str(N) + \"_\" + str(SF))\n",
    "            continue\n",
    "        \n",
    "        print(\"\")\n",
    "        print(\" $$$ {} $$$ {} $$$ {} $$$ {} $$$ {} $$$ {} $$$ {} $$$ {} $$$ {} $$$\".format(c,c,c,c,c,c,c,c,c))\n",
    "        print(\"\")\n",
    "\n",
    "        fileName = date + str(\" // \") + f\n",
    "        out, temp_packed, mean_na_num, num_pancakes_temp, num_pancakes_packed = fitAndPlot(data, polar_correct, fileName, flg_draw=True)\n",
    "        \n",
    "        mean_na_num_temp_list.append(mean_na_num)\n",
    "        num_pancakes_temp_list.append(num_pancakes_temp)\n",
    "        \n",
    "        init_na_temp, init_na_temp_sig, mean_na_temp, mean_na_temp_sig, init_mol_temp, init_mol_temp_sig, mean_mol_temp, mean_mol_temp_sig = temp_packed\n",
    "        init_na_temp_list.append(init_na_temp)\n",
    "        init_na_temp_sig_list.append(init_na_temp_sig)\n",
    "        init_mol_temp_list.append(init_mol_temp)\n",
    "        init_mol_temp_sig_list.append(init_mol_temp_sig)\n",
    "        mean_na_temp_list.append(mean_na_temp)\n",
    "        mean_na_temp_sig_list.append(mean_na_temp_sig)\n",
    "        mean_mol_temp_list.append(mean_mol_temp)\n",
    "        mean_mol_temp_sig_list.append(mean_mol_temp_sig)\n",
    "        \n",
    "        init_na_num_pancakes.append(num_pancakes_packed[0])\n",
    "        mean_na_num_pancakes.append(num_pancakes_packed[1])\n",
    "        init_mol_num_pancakes.append(num_pancakes_packed[2])\n",
    "        mean_mol_num_pancakes.append(num_pancakes_packed[3])\n",
    "        \n",
    "        B_list.append(B)\n",
    "        coeff_fm_list.append(out[0][0])\n",
    "        coeff_pa_list.append(out[1][0])\n",
    "        coeff_exp_list.append(out[2][0])\n",
    "        coeff_expoffset_list.append(out[3][0])\n",
    "        \n",
    "        coeff_fm_sig_list.append(out[0][1])\n",
    "        coeff_pa_sig_list.append(out[1][1])\n",
    "        coeff_exp_sig_list.append(out[2][1])\n",
    "        coeff_expoffset_sig_list.append(out[3][1])\n",
    "        \n",
    "        c += 1\n",
    "    \n",
    "    date_mark.append(c-1)\n",
    "    date_mark_list.append(date_mark)\n",
    "\n",
    "B_list = np.array(B_list)\n",
    "\n",
    "\n",
    "print(\"molecule's TOF offset list: \")\n",
    "print(TOFoffset_list)\n",
    "TOFoffset_list = np.array(TOFoffset_list)\n",
    "init_mol_temp_list = np.array(init_mol_temp_list) + TOFoffset_list\n",
    "mean_mol_temp_list = np.array(mean_mol_temp_list) + TOFoffset_list\n",
    "\n",
    "print(\"\")\n",
    "print(\" List of reading fails:\")\n",
    "print(failed_list)\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(date_mark_list)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean of mean Na temp = 1.47501923686e-06 +/- 1.43685377159e-07 uk\n",
      "mean of mean mol temp = 1.805793842e-06 +/- 2.84180643605e-07 uk\n",
      "\n",
      "\n",
      "mean of mean Na temp PEAK = 1.54527335533e-06 +/- 9.71579093227e-08 uk\n",
      "mean of mean mol temp PEAK = 1.96958618965e-06 +/- 3.51583973729e-07 uk\n",
      "\n",
      "\n",
      "mean of mean Na temp OUTSIDE PEAK = 1.42927236902e-06 +/- 1.50451401537e-07 uk\n",
      "mean of mean mol temp OUTSIDE PEAK = 1.69913835981e-06 +/- 1.54951094821e-07 uk\n",
      "\n",
      "\n",
      "mean init Na temp = 1.44079273837e-06 uk\n",
      "mean mean Na temp = 1.47501923686e-06 uk\n",
      "\n",
      "mean init mol temp = 1.75951366846e-06 uk\n",
      "mean mean mol temp = 1.805793842e-06 uk\n",
      "\n",
      " --- date order ----\n",
      "Apr_1_0.5\n",
      "Apr_28_0.558\n",
      "Apr_5_0.73\n",
      "Feb_15_0.89\n",
      "Feb_1_0.798\n",
      "Jan_28_0.595\n",
      "Jan_29_0.567\n",
      "Mar_31_0.547\n",
      "May_6_0.66\n",
      "May_7_0.635\n",
      "\n",
      "[['Apr_28_0.558', 1.5996549603174604], ['Jan_29_0.567', 1.7755537698412698], ['May_6_0.66', 1.579189814814815], ['May_7_0.635', 1.4481899999999999]]\n",
      "INIT molecule reference temperature = 1.60064713624\n",
      "\n",
      "[['Apr_28_0.558', 1.6279910531685247], ['Jan_29_0.567', 1.769236559260456], ['May_6_0.66', 1.6561864344503234], ['May_7_0.635', 1.4606965005316321]]\n",
      "MEAN molecule reference temperature = 1.62852763685\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x1512 with 9 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "##\n",
    "Tna = np.mean(mean_na_temp_list)\n",
    "# sigma_Tna = np.sqrt(np.sum(np.array(mean_na_temp_sig_list)**2))/len(mean_na_temp_sig_list)\n",
    "sigma_Tna = np.std(mean_na_temp_list)\n",
    "Tmol = np.mean(mean_mol_temp_list)\n",
    "# sigma_Tmol = np.sqrt(np.sum(np.array(mean_mol_temp_sig_list)**2))/len(mean_mol_temp_sig_list)\n",
    "sigma_Tmol = np.std(mean_mol_temp_list)\n",
    "print(\"mean of mean Na temp = {} +/- {} uk\".format(Tna, sigma_Tna))\n",
    "print(\"mean of mean mol temp = {} +/- {} uk\".format(Tmol, sigma_Tmol))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "\n",
    "##################################\n",
    "B_lo_cut = 975\n",
    "B_up_cut = 981\n",
    "\n",
    "idx_near_peak = np.where((B_list < B_up_cut) & (B_list > B_lo_cut))[0]\n",
    "\n",
    "idx_out_peak = np.where((B_list > B_up_cut) | (B_list < B_lo_cut))[0]\n",
    "\n",
    "mean_na_temp_near_peak = []\n",
    "mean_mol_temp_near_peak = []\n",
    "for i in idx_near_peak:\n",
    "    mean_na_temp_near_peak.append(mean_na_temp_list[i])\n",
    "    mean_mol_temp_near_peak.append(mean_mol_temp_list[i])\n",
    "\n",
    "mean_na_temp_out_peak = []\n",
    "mean_mol_temp_out_peak = []\n",
    "for i in idx_out_peak:\n",
    "    mean_na_temp_out_peak.append(mean_na_temp_list[i])\n",
    "    mean_mol_temp_out_peak.append(mean_mol_temp_list[i])\n",
    "    \n",
    "    \n",
    "Tna_peak = np.mean(mean_na_temp_near_peak)\n",
    "# sigma_Tna_peak = np.std(mean_na_temp_near_peak)/np.sqrt(len(mean_na_temp_near_peak))\n",
    "sigma_Tna_peak = np.std(mean_na_temp_near_peak)\n",
    "Tmol_peak = np.mean(mean_mol_temp_near_peak)\n",
    "# sigma_Tmol_peak = np.std(mean_mol_temp_near_peak)/np.sqrt(len(mdateean_mol_temp_near_peak))\n",
    "sigma_Tmol_peak = np.std(mean_mol_temp_near_peak)\n",
    "print(\"mean of mean Na temp PEAK = {} +/- {} uk\".format(Tna_peak, sigma_Tna_peak))\n",
    "print(\"mean of mean mol temp PEAK = {} +/- {} uk\".format(Tmol_peak, sigma_Tmol_peak))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "\n",
    "\n",
    "Tna_out = np.mean(mean_na_temp_out_peak)\n",
    "# sigma_Tna_out = np.std(mean_na_temp_out_peak)/np.sqrt(len(mean_na_temp_out_peak))\n",
    "sigma_Tna_out = np.std(mean_na_temp_out_peak)\n",
    "Tmol_out = np.mean(mean_mol_temp_out_peak)\n",
    "# sigma_Tmol_out = np.std(mean_mol_temp_out_peak)/np.sqrt(len(mean_mol_temp_out_peak))\n",
    "sigma_Tmol_out = np.std(mean_mol_temp_out_peak)\n",
    "print(\"mean of mean Na temp OUTSIDE PEAK = {} +/- {} uk\".format(Tna_out, sigma_Tna_out))\n",
    "print(\"mean of mean mol temp OUTSIDE PEAK = {} +/- {} uk\".format(Tmol_out, sigma_Tmol_out))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "\n",
    "init_na_list = np.array(init_na_temp_list) * 1e6\n",
    "init_na_sig_list = np.array(init_na_temp_sig_list) * 1e6\n",
    "\n",
    "init_mol_list = np.array(init_mol_temp_list) * 1e6\n",
    "init_mol_sig_list = np.array(init_mol_temp_sig_list) * 1e6\n",
    "\n",
    "mean_na_list  = np.array(mean_na_temp_list) * 1e6\n",
    "mean_na_sig_list = np.array(mean_na_temp_sig_list) * 1e6\n",
    "\n",
    "mean_mol_list  = np.array(mean_mol_temp_list) * 1e6\n",
    "mean_mol_sig_list = np.array(mean_mol_temp_sig_list) * 1e6\n",
    "\n",
    "fig, axs = plt.subplots(9, 1, figsize = (12, 21))\n",
    "llll = np.arange(0, len(B_list), 1)\n",
    "axs[6].scatter(llll, init_na_list, label = 'init Na T')\n",
    "axs[7].scatter(llll, init_mol_list, label = 'init mol T')\n",
    "axs[6].scatter(llll, mean_na_list, label = 'mean Na T')\n",
    "axs[7].scatter(llll, mean_mol_list, label = 'mean mol T')\n",
    "\n",
    "for jj in [6, 7]:\n",
    "    for pp in date_mark_list:\n",
    "        axs[jj].axvline(pp[1])\n",
    "        axs[jj].axvline(pp[2])\n",
    "\n",
    "axs[0].scatter(B_list, init_na_list, label = 'init Na T')\n",
    "axs[1].scatter(B_list, init_mol_list, label = 'init mol T')\n",
    "axs[0].scatter(B_list, mean_na_list, label = 'mean Na T')\n",
    "axs[1].scatter(B_list, mean_mol_list, label = 'mean mol T')\n",
    "\n",
    "axs[2].scatter(B_list, init_na_list, label = 'init Na T')\n",
    "axs[3].scatter(B_list, init_mol_list, label = 'init mol T')\n",
    "axs[2].scatter(B_list, mean_na_list, label = 'mean Na T')\n",
    "axs[3].scatter(B_list, mean_mol_list, label = 'mean mol T')\n",
    "\n",
    "axs[2].set_xlim([B_lo_cut-5, B_up_cut+5])\n",
    "axs[3].set_xlim([B_lo_cut-5, B_up_cut+5])\n",
    "axs[-1].set_xlim([B_lo_cut-5, B_up_cut+5])\n",
    "\n",
    "mean_na_num_list = np.array(mean_na_num_temp_list)\n",
    "axs[4].scatter(B_list, mean_na_num_list, label = 'mean TOTAL Na number')\n",
    "axs[4].axhline(440e3, linestyle ='dotted', c='k', label = 'cut number for lattice correction')\n",
    "\n",
    "width_base = axial_gaussian_width_base()\n",
    "num_pancakes_list = np.array(num_pancakes_temp_list)/(1e-6 * np.sqrt(8/np.pi)/(0.5 * 1596e-9))\n",
    "axs[5].scatter(B_list, num_pancakes_list, label = 'Gaussian Axial width (um)')\n",
    "axs[5].axhline(width_base, linestyle ='dotted', c='k', label = 'base width (um)')\n",
    "\n",
    "\n",
    "for j in [2, 3, 4, 5, -1]:\n",
    "    axs[j].axvline(B_lo_cut)\n",
    "    axs[j].axvline(B_up_cut)\n",
    "\n",
    "for a in axs:\n",
    "    a.legend()\n",
    "\n",
    "print(\"mean init Na temp = {} uk\".format(np.mean(init_na_temp_list)))\n",
    "print(\"mean mean Na temp = {} uk\".format(np.mean(mean_na_temp_list)))\n",
    "print(\"\")\n",
    "print(\"mean init mol temp = {} uk\".format(np.mean(init_mol_temp_list)))\n",
    "print(\"mean mean mol temp = {} uk\".format(np.mean(mean_mol_temp_list)))\n",
    "plt.tight_layout()\n",
    "\n",
    "print(\"\")\n",
    "print(\" --- date order ----\")\n",
    "for pp in date_mark_list:\n",
    "    print(pp[0])\n",
    "    \n",
    "## get the mean for the data from the date where a compensation was applied for dissociation\n",
    "# select_list = [1, 4, 5, 6, 8, 9]\n",
    "select_list = [1, 6, 8, 9]\n",
    "init_mol_select_list = []\n",
    "mean_mol_select_list = []\n",
    "init_mol_ref_temp = 0\n",
    "mean_mol_ref_temp = 0\n",
    "for v, s in enumerate(select_list):\n",
    "    ii = date_mark_list[s][1]\n",
    "    jj = date_mark_list[s][2]\n",
    "    \n",
    "    init = np.mean(init_mol_list[ii:jj+1])\n",
    "    init_mol_ref_temp += init\n",
    "    \n",
    "    mean = np.mean(mean_mol_list[ii:jj+1])\n",
    "    mean_mol_ref_temp += mean\n",
    "    \n",
    "    init_mol_select_list.append([date_mark_list[s][0], init])\n",
    "    mean_mol_select_list.append([date_mark_list[s][0], mean])\n",
    "\n",
    "print(\"\")\n",
    "print(init_mol_select_list)\n",
    "init_mol_ref = init_mol_ref_temp/(v+1)\n",
    "print(\"INIT molecule reference temperature = {}\".format(init_mol_ref))\n",
    "print(\"\")\n",
    "print(mean_mol_select_list)\n",
    "mean_mol_ref = mean_mol_ref_temp/(v+1)    \n",
    "print(\"MEAN molecule reference temperature = {}\".format(mean_mol_ref))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "\n",
    "\n",
    "nearpeak_list = ['Apr_5_0.73', 'Mar_31_0.547', 'Feb_15_0.89', 'Feb_1_0.798', 'Jan_28_0.595']\n",
    "list_to_exclude = ['Apr_5_0.73', 'Mar_31_0.547']\n",
    "list_to_exclude = ['Apr_5_0.73']\n",
    "# list_to_exclude = []\n",
    "peak_mol_mean_temp_chunk = []\n",
    "peak_mol_mean_temp_chunk_sig = []\n",
    "peak_mol_init_temp_chunk = []\n",
    "peak_mol_init_temp_chunk_sig = []\n",
    "for i, w in enumerate(date_mark_list):\n",
    "\n",
    "    \n",
    "    if w[0] == 'Mar_31_0.547':\n",
    "        init_chunk = init_mol_list[w[1]:w[2]]      \n",
    "        mean_chunk = mean_mol_list[w[1]:w[2]]\n",
    "    else:\n",
    "        init_chunk = init_mol_list[w[1]:w[2]+1]\n",
    "        mean_chunk = mean_mol_list[w[1]:w[2]+1]\n",
    "        init_chunk_sig = init_mol_sig_list[w[1]:w[2]+1]\n",
    "        mean_chunk_sig = mean_mol_sig_list[w[1]:w[2]+1]\n",
    "        \n",
    "\n",
    "    if w[0] == 'Mar_31_0.547': ## correct one WEIRD point manually\n",
    "        init_mol_list[w[2]] = np.mean(init_mol_list[w[1]:w[2]])\n",
    "        mean_mol_list[w[2]] = np.mean(mean_mol_list[w[1]:w[2]])\n",
    "        \n",
    "        init_chunk = init_mol_list[w[1]:w[2]+1]\n",
    "        mean_chunk = mean_mol_list[w[1]:w[2]+1]\n",
    "        init_chunk_sig = init_mol_sig_list[w[1]:w[2]+1]\n",
    "        mean_chunk_sig = mean_mol_sig_list[w[1]:w[2]+1]\n",
    "\n",
    "\n",
    "init_mol_list = np.array(init_mol_list) \n",
    "mean_mol_list = np.array(mean_mol_list) \n",
    "init_na_list = np.array(init_na_list) \n",
    "mean_na_list = np.array(mean_na_list)\n",
    "###############################################################\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ReDataRun with CORRECTED molecule's temperature \n",
    "## (this was due to the unsafe compensation for dissociation field)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean of mean Na temp PEAK = 1.59531313084e-06 +/- 9.71579093227e-08 uk\n",
      "mean of INIT Na temp PEAK = 1.57680090425e-06 +/- 1.27487901843e-07 uk\n",
      "\n",
      "mean of mean mol temp PEAK = 1.94173872025e-06 +/- 3.51583973729e-07 uk\n",
      "mean of INIT MOL temp PEAK = 1.76007360189e-06 +/- 4.0253940953e-07 uk\n",
      "\n",
      "\n",
      "mean of mean Na temp OUTSIDE PEAK = 1.45114849162e-06 +/- 1.50451401537e-07 uk\n",
      "mean of INIT Na temp OUTSIDE PEAK = 1.49242055275e-06 +/- 1.47538957696e-07 uk\n",
      "\n",
      "mean of mean mol temp OUTSIDE PEAK = 1.64141844512e-06 +/- 1.54951094821e-07 uk\n",
      "mean of INIT mol temp OUTSIDE PEAK = 1.58729458402e-06 +/- 1.59385836733e-07 uk\n",
      "\n",
      "   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^   \n",
      " mean of ENTIRE mean Na temp = 1.52292136605e-06 +/- 1.43685377159e-07 uk\n",
      " mean of ENTIRE init Na temp = 1.52561495325e-06 +/- 1.46495312057e-07 uk\n",
      "   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^   \n",
      "\n",
      " ---- mean temperature between Na and mol ---- \n",
      "Mean out temp = 1.54628346837e-06 (% 7.01079786753)\n",
      "Mean peak temp = 1.76852592555e-06 (% 9.55172346568)\n",
      "difference -14.372685327 %\n",
      "\n",
      "INIT out temp = 1.53985756839e-06 (% 7.04555611007)\n",
      "INIT peak temp = 1.66843725307e-06 (% 12.1288421858)\n",
      "difference -8.35010245888 %\n",
      "\n",
      "\n",
      "\n",
      "a_bar * krel = 0.0322602617213\n",
      "krel = 10850226.4423 +/- 510937.980566 1/m (4.70900753346 %)\n",
      "\n",
      "vrel = 5.37012464432 cm/s\n",
      "<1/krel> = 117.346817737 nm (4.70900753346 %)\n",
      "thermally-averaged relative Kinetic energy_from <vrel^2> = 2.62280975077 uk\n",
      "thermally-averaged relative Kinetic energy_k = 2.226310062 +/- 0.209674217076 uk\n",
      "thermally-averaged relative Kinetic energy_k2 = 2.62280975077 +/- 0.247016617504 uk\n",
      "\n",
      "2/3 * relative kinetic energy_k = 1.484206708 +/- 0.139782811384 uk\n",
      "2/3 * relative kinetic energy_k2 = 1.74853983385 +/- 0.164677745003 uk\n",
      "\n",
      "TT_k2/TT_k uk = 1.1780972451\n",
      "\n",
      "mean temperature of Tna and Tmol = 1.76852592555 uk\n",
      "\n",
      "\n",
      " -----  for small resonance ----- \n",
      "\n",
      "mean of mean Na temp for SMALL RES = 1.45114849162e-06 +/- 1.50451401537e-07 uk\n",
      "mean of mean mol temp for SMALL RES = 1.64141844512e-06 +/- 1.54951094821e-07 uk\n",
      "\n",
      "\n",
      "max mean mol temp SIG at PEAK = 1.23598687241e-07 uk\n",
      "\n",
      "\n",
      "\n",
      "the temperature I use:\n",
      "Tna = 1.52323081123 uk\n",
      "Tmol = 1.79157858269 uk\n",
      "relative temp = 1.64192309476 uk\n"
     ]
    }
   ],
   "source": [
    "#########################################################################################################################\n",
    "## molecule temperature input order: [init_mol_list, init_mol_sig_list, mean_mol_list, mean_mol_sig_list]\n",
    "\n",
    "\n",
    "molTemp_input = []\n",
    "for i in range(len(B_list)):\n",
    "    molTemp_input.append([init_mol_list[i]*1e-6, init_mol_temp_sig_list[i], mean_mol_list[i]*1e-6, mean_mol_temp_sig_list[i]])\n",
    "\n",
    "naTemp_input = []\n",
    "for i in range(len(B_list)):\n",
    "    naTemp_input.append([init_na_list[i]*1e-6, init_na_temp_sig_list[i], mean_na_list[i]*1e-6, mean_na_temp_sig_list[i]])\n",
    "\n",
    "    \n",
    "#########################################################################################################################\n",
    "    \n",
    "\n",
    "idx_small = np.where(B_list > 1000.)[0]\n",
    "\n",
    "\n",
    "#################################################################################################\n",
    "\n",
    "\n",
    "idx_near_peak = np.where((B_list <= B_up_cut) & (B_list >= B_lo_cut))[0]\n",
    "\n",
    "idx_out_peak = np.where((B_list < B_lo_cut) | (B_list > B_up_cut))[0]\n",
    "\n",
    "mean_na_temp_near_peak = []\n",
    "mean_na_temp_near_peak_sig = []\n",
    "\n",
    "mean_mol_temp_near_peak = []\n",
    "mean_mol_temp_near_peak_sig = []\n",
    "\n",
    "init_na_temp_near_peak = []\n",
    "init_na_temp_near_peak_sig = []\n",
    "\n",
    "init_mol_temp_near_peak = []\n",
    "init_mol_temp_near_peak_sig = []\n",
    "for i in idx_near_peak:\n",
    "    mean_na_temp_near_peak.append(mean_na_temp_list[i])\n",
    "    mean_na_temp_near_peak_sig.append(mean_na_temp_sig_list[i])\n",
    "    \n",
    "    mean_mol_temp_near_peak.append(mean_mol_temp_list[i])\n",
    "    mean_mol_temp_near_peak_sig.append(mean_mol_temp_sig_list[i])\n",
    "    \n",
    "    init_na_temp_near_peak.append(init_na_temp_list[i])\n",
    "    init_na_temp_near_peak_sig.append(init_na_temp_sig_list[i])\n",
    "    \n",
    "    init_mol_temp_near_peak.append(init_mol_temp_list[i])\n",
    "    init_mol_temp_near_peak_sig.append(init_mol_temp_sig_list[i])\n",
    "\n",
    "mean_na_temp_out_peak = []\n",
    "mean_na_temp_out_peak_sig = []\n",
    "\n",
    "mean_mol_temp_out_peak = []\n",
    "mean_mol_temp_out_peak_sig = []\n",
    "\n",
    "init_na_temp_out_peak = []\n",
    "init_na_temp_out_peak_sig = []\n",
    "\n",
    "init_mol_temp_out_peak = []\n",
    "init_mol_temp_out_peak_sig = []\n",
    "for i in idx_out_peak:\n",
    "    mean_na_temp_out_peak.append(mean_na_temp_list[i])\n",
    "    mean_na_temp_out_peak_sig.append(mean_na_temp_sig_list[i])\n",
    "    \n",
    "    mean_mol_temp_out_peak.append(mean_mol_temp_list[i])\n",
    "    mean_mol_temp_out_peak_sig.append(mean_mol_temp_sig_list[i])\n",
    "    \n",
    "    init_na_temp_out_peak.append(init_na_temp_list[i])\n",
    "    init_na_temp_out_peak_sig.append(init_na_temp_sig_list[i])\n",
    "    \n",
    "    init_mol_temp_out_peak.append(init_mol_temp_list[i]) \n",
    "    init_mol_temp_out_peak_sig.append(init_mol_temp_sig_list[i])\n",
    "    \n",
    "Tna_peak = np.mean(mean_na_temp_near_peak)\n",
    "# sigma_Tna_peak = np.std(mean_na_temp_near_peak)/np.sqrt(len(mean_na_temp_near_peak))\n",
    "sigma_Tna_peak = np.std(mean_na_temp_near_peak)\n",
    "\n",
    "Tna_peak_init = np.mean(init_na_temp_near_peak)\n",
    "sigma_Tna_peak_init = np.std(init_na_temp_near_peak)\n",
    "\n",
    "Tmol_peak = np.mean(mean_mol_temp_near_peak)\n",
    "# sigma_Tmol_peak = np.std(mean_mol_temp_near_peak)/np.sqrt(len(mean_mol_temp_near_peak))\n",
    "sigma_Tmol_peak = np.std(mean_mol_temp_near_peak)\n",
    "\n",
    "Tmol_peak_init = np.mean(init_mol_temp_near_peak)\n",
    "sigma_Tmol_peak_init = np.std(init_mol_temp_near_peak)\n",
    "\n",
    "####################################################\n",
    "####################################################\n",
    "####################################################\n",
    "####################################################\n",
    "Tna_peak, Tna_peak_ste, sigma_Tna_peak = weighted_mean_std(mean_na_temp_near_peak, mean_na_temp_near_peak_sig)\n",
    "Tna_peak_init, Tna_peak_ste_init, sigma_Tna_peak_init = weighted_mean_std(init_na_temp_near_peak, init_na_temp_near_peak_sig)\n",
    "\n",
    "Tmol_peak, Tmol_peak_ste, sigma_Tmol_peak = weighted_mean_std(mean_mol_temp_near_peak, mean_mol_temp_near_peak_sig)\n",
    "Tmol_peak_init, Tmol_peak_ste_init, sigma_Tmol_peak_init = weighted_mean_std(init_mol_temp_near_peak, init_mol_temp_near_peak_sig)\n",
    "\n",
    "print(\"mean of mean Na temp PEAK = {} +/- {} uk\".format(Tna_peak, sigma_Tna_peak))\n",
    "print(\"mean of INIT Na temp PEAK = {} +/- {} uk\".format(Tna_peak_init, sigma_Tna_peak_init))\n",
    "print(\"\")\n",
    "print(\"mean of mean mol temp PEAK = {} +/- {} uk\".format(Tmol_peak, sigma_Tmol_peak))\n",
    "print(\"mean of INIT MOL temp PEAK = {} +/- {} uk\".format(Tmol_peak_init, sigma_Tmol_peak_init))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "\n",
    "\n",
    "Tna_out = np.mean(mean_na_temp_out_peak)\n",
    "# sigma_Tna_out = np.std(mean_na_temp_out_peak)/np.sqrt(len(mean_na_temp_out_peak))\n",
    "sigma_Tna_out = np.std(mean_na_temp_out_peak)\n",
    "\n",
    "Tna_out_init = np.mean(init_na_temp_out_peak)\n",
    "sigma_Tna_out_init = np.std(init_na_temp_out_peak)\n",
    "\n",
    "Tmol_out = np.mean(mean_mol_temp_out_peak)\n",
    "# sigma_Tmol_out = np.std(mean_mol_temp_out_peak)/np.sqrt(len(mean_mol_temp_out_peak))\n",
    "sigma_Tmol_out = np.std(mean_mol_temp_out_peak)\n",
    "\n",
    "Tmol_out_init = np.mean(init_mol_temp_out_peak)\n",
    "sigma_Tmol_out_init = np.std(init_mol_temp_out_peak)\n",
    "\n",
    "####################################################\n",
    "####################################################\n",
    "####################################################\n",
    "####################################################\n",
    "Tna_out, Tna_out_ste, sigma_Tna_out = weighted_mean_std(mean_na_temp_out_peak, mean_na_temp_out_peak_sig)\n",
    "Tna_out_init, Tna_out_ste_init, sigma_Tna_out_init = weighted_mean_std(init_na_temp_out_peak, init_na_temp_out_peak_sig)\n",
    "\n",
    "Tmol_out, Tmol_out_ste, sigma_Tmol_out = weighted_mean_std(mean_mol_temp_out_peak, mean_mol_temp_out_peak_sig)\n",
    "Tmol_out_init, Tmol_out_ste_init, sigma_Tmol_out_init = weighted_mean_std(init_mol_temp_out_peak, init_mol_temp_out_peak_sig)\n",
    "\n",
    "print(\"mean of mean Na temp OUTSIDE PEAK = {} +/- {} uk\".format(Tna_out, sigma_Tna_out))\n",
    "print(\"mean of INIT Na temp OUTSIDE PEAK = {} +/- {} uk\".format(Tna_out_init, sigma_Tna_out_init))\n",
    "print(\"\")\n",
    "print(\"mean of mean mol temp OUTSIDE PEAK = {} +/- {} uk\".format(Tmol_out, sigma_Tmol_out))\n",
    "print(\"mean of INIT mol temp OUTSIDE PEAK = {} +/- {} uk\".format(Tmol_out_init, sigma_Tmol_out_init))\n",
    "print(\"\")\n",
    "print(\"   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^   \")\n",
    "Tna_mean_entire, Tna_mean_entire_ste, Tna_mean_entire_sig = weighted_mean_std(mean_na_temp_list, mean_na_temp_sig_list)\n",
    "Tna_init_entire, Tna_init_entire_ste, Tna_init_entire_sig = weighted_mean_std(init_na_temp_list, init_na_temp_sig_list)\n",
    "print(\" mean of ENTIRE mean Na temp = {} +/- {} uk\".format(Tna_mean_entire, Tna_mean_entire_sig))\n",
    "print(\" mean of ENTIRE init Na temp = {} +/- {} uk\".format(Tna_init_entire, Tna_init_entire_sig))\n",
    "print(\"   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^   \")\n",
    "print(\"\")\n",
    "\n",
    "Tmean_out = (Tna_out + Tmol_out)/2\n",
    "Tmean_out_sig = Tmean_out* 0.5 * np.sqrt((sigma_Tna_out/Tna_out)**2 + (sigma_Tmol_out/Tmol_out)**2)\n",
    "\n",
    "Tmean_peak = (Tna_peak + Tmol_peak)/2\n",
    "Tmean_peak_sig = Tmean_peak* 0.5 * np.sqrt((sigma_Tna_peak/Tna_peak)**2 + (sigma_Tmol_peak/Tmol_peak)**2)\n",
    "print(\" ---- mean temperature between Na and mol ---- \")\n",
    "print(\"Mean out temp = {} (% {})\".format(Tmean_out, Tmean_out_sig/Tmean_out*100))\n",
    "print(\"Mean peak temp = {} (% {})\".format(Tmean_peak, Tmean_peak_sig/Tmean_peak*100))\n",
    "print(\"difference {} %\".format((Tmean_out - Tmean_peak)/Tmean_out * 100))\n",
    "print(\"\")\n",
    "\n",
    "Tmean_out_init = (Tna_out_init + Tmol_out_init)/2\n",
    "Tmean_out_init_sig = Tmean_out_init * 0.5 * np.sqrt((sigma_Tna_out_init/Tna_out_init)**2 + (sigma_Tmol_out_init/Tmol_out_init)**2)\n",
    "\n",
    "Tmean_peak_init = (Tna_peak_init + Tmol_peak_init)/2\n",
    "Tmean_peak_init_sig = Tmean_peak_init * 0.5 * np.sqrt((sigma_Tna_peak_init/Tna_peak_init)**2 + (sigma_Tmol_peak_init/Tmol_peak_init)**2)\n",
    "print(\"INIT out temp = {} (% {})\".format(Tmean_out_init, Tmean_out_init_sig/Tmean_out_init*100))\n",
    "print(\"INIT peak temp = {} (% {})\".format(Tmean_peak_init, Tmean_peak_init_sig/Tmean_peak_init*100))\n",
    "print(\"difference {} %\".format((Tmean_out_init - Tmean_peak_init)/Tmean_out_init * 100))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "############################\n",
    "Tna = Tna_peak\n",
    "sigma_Tna = sigma_Tna_peak\n",
    "\n",
    "Tmol = Tmol_peak\n",
    "sigma_Tmol = sigma_Tmol_peak\n",
    "############################\n",
    "\n",
    "vrel_sq = 3*kb * (Tna/m_na + Tmol/m_mol)\n",
    "Erel_from_vrel_sq = 0.5 * mu * vrel_sq\n",
    "\n",
    "vrel = np.sqrt(8.*kb/np.pi * (Tna/m_na + Tmol/m_mol))\n",
    "vrel_sig = 1./vrel * 4*kb/np.pi * np.sqrt((sigma_Tna/m_na)**2 + (sigma_Tmol/m_mol)**2)\n",
    "\n",
    "krel = mu * vrel/h_bar\n",
    "krel_sig = mu/h_bar * vrel_sig\n",
    "\n",
    "## <1/k^2> = pi <1/k>^2\n",
    "# ffactor = 2. ## for free space\n",
    "ffactor = 4/np.pi\n",
    "oneOverkrel = 1/krel * ffactor\n",
    "oneOverkrel_sig = ffactor/krel**2 * krel_sig\n",
    "\n",
    "print(\"a_bar * krel = {}\".format(krel*a_bar))\n",
    "print(\"krel = {} +/- {} 1/m ({} %)\".format(krel, krel_sig, krel_sig/krel * 100))\n",
    "print(\"\")\n",
    "print(\"vrel = {} cm/s\".format(vrel*100))\n",
    "print(\"<1/krel> = {} nm ({} %)\".format(1e9 * oneOverkrel, oneOverkrel_sig/oneOverkrel*100))\n",
    "\n",
    "## <k_rel^2> = 3pi/8 * <k_rel>^2\n",
    "E_rel = h_bar**2 * krel**2/(2 * mu)\n",
    "E_rel_sig = 2 * E_rel/krel * krel_sig\n",
    "TT = 2/3. * E_rel/kb\n",
    "TT_sig = 2/3. * E_rel_sig/kb\n",
    "\n",
    "E_rel_k2 = h_bar**2 * (3*np.pi)/8 * krel**2/(2 * mu)\n",
    "E_rel_sig_k2 = 2 * E_rel_k2/krel * krel_sig\n",
    "TT_k2 = 2/3. * E_rel_k2/kb\n",
    "TT_sig_k2 = 2/3. * E_rel_sig_k2/kb\n",
    "\n",
    "print(\"thermally-averaged relative Kinetic energy_from <vrel^2> = {} uk\".format(Erel_from_vrel_sq/kb * 1e6))\n",
    "print(\"thermally-averaged relative Kinetic energy_k = {} +/- {} uk\".format(E_rel/kb * 1e6, E_rel_sig/kb * 1e6))\n",
    "print(\"thermally-averaged relative Kinetic energy_k2 = {} +/- {} uk\".format(E_rel_k2/kb * 1e6, E_rel_sig_k2/kb * 1e6))\n",
    "print(\"\")\n",
    "print(\"2/3 * relative kinetic energy_k = {} +/- {} uk\".format(TT * 1e6, TT_sig * 1e6))\n",
    "print(\"2/3 * relative kinetic energy_k2 = {} +/- {} uk\".format(TT_k2 * 1e6, TT_sig_k2 * 1e6))\n",
    "print(\"\")\n",
    "print(\"TT_k2/TT_k uk = {}\".format(TT_k2/TT))\n",
    "print(\"\")\n",
    "print(\"mean temperature of Tna and Tmol = {} uk\".format((Tna + Tmol)/2. * 1e6))\n",
    "\n",
    "\n",
    "################## for the small resoannce #####################\n",
    "mean_na_temp_near_out = []\n",
    "mean_mol_temp_near_out = []\n",
    "mean_na_temp_near_out_sig = []\n",
    "mean_mol_temp_near_out_sig = []\n",
    "for i in idx_small:\n",
    "    mean_na_temp_near_out.append(mean_na_temp_list[i])\n",
    "    mean_mol_temp_near_out.append(mean_mol_list[i]) #### use the corrected molecule temperature\n",
    "    mean_na_temp_near_out_sig.append(mean_na_temp_sig_list[i])\n",
    "    mean_mol_temp_near_out_sig.append(mean_mol_temp_sig_list[i])\n",
    "    \n",
    "\n",
    "mean_mol_temp_near_out = np.array(mean_mol_temp_near_out) * 1e-6\n",
    "Tna_small = np.mean(mean_na_temp_near_out)\n",
    "# sigma_Tna_peak = np.std(mean_na_temp_near_peak)/np.sqrt(len(mean_na_temp_near_peak))\n",
    "sigma_Tna_small = np.std(mean_na_temp_near_out)\n",
    "sigma_Tna_small = np.max([np.std(mean_na_temp_near_out), max(mean_na_temp_near_out_sig)])\n",
    "\n",
    "Tmol_small = np.mean(mean_mol_temp_near_out) \n",
    "# sigma_Tmol_peak = np.std(mean_mol_temp_near_peak)/np.sqrt(len(mean_mol_temp_near_peak))\n",
    "sigma_Tmol_small = np.std(mean_mol_temp_near_out)\n",
    "sigma_Tmol_small = np.max([np.std(mean_mol_temp_near_out), max(mean_mol_temp_near_out_sig)])\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\" -----  for small resonance ----- \")\n",
    "print(\"\")\n",
    "print(\"mean of mean Na temp for SMALL RES = {} +/- {} uk\".format(Tna_out, sigma_Tna_out))\n",
    "print(\"mean of mean mol temp for SMALL RES = {} +/- {} uk\".format(Tmol_out, sigma_Tmol_out))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\"max mean mol temp SIG at PEAK = {} uk\".format(max(mean_mol_temp_near_out_sig)))\n",
    "############################\n",
    "Tna = Tna_out\n",
    "Tmol = Tmol_out\n",
    "\n",
    "Tna = Tna_peak\n",
    "Tmol = Tmol_peak\n",
    "\n",
    "Tna = (Tna_out + Tna_peak)/2\n",
    "Tmol = (Tmol_out + Tmol_peak)/2\n",
    "############################    \n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\"the temperature I use:\")\n",
    "print(\"Tna = {} uk\".format(Tna * 1e6))\n",
    "print(\"Tmol = {} uk\".format(Tmol * 1e6))\n",
    "print(\"relative temp = {} uk\".format(mu * (Tna/m_na+Tmol/m_mol) *1e6))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# DATARUN2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['Apr_1_0.5', 'Apr_28_0.558', 'Apr_5_0.73', 'Feb_15_0.89', 'Feb_1_0.798', 'Jan_28_0.595', 'Jan_29_0.567', 'Mar_31_0.547', 'May_6_0.66', 'May_7_0.635']\n",
      "0.5\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 19.0, sf = 6.59 --> Field = 911.29376 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 0 $$$ 0 $$$ 0 $$$ 0 $$$ 0 $$$ 0 $$$ 0 $$$ 0 $$$ 0 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 428.674658105E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 227.631007048k\n",
      "TOTAL Na num = 227.631007048k\n",
      "\n",
      "init mol temp/init Na temp = 1.09897078235\n",
      "init mol temp = 1.46691666667e-06 uk\n",
      "init na temp = 1.33480952381e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.83520785074\n",
      "\n",
      "init na num = 343.903234231 at 1.33480952381 uk\n",
      "init Na density = 6.17708012953e+11 cm^-3 (7.12865087902 %)\n",
      "\n",
      "init overlap density = 4.79789733506e+11 cm^-3 (9.25399359363 %) (34.2729689031 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.776725772444\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 39.9811431734 at 1.46691666667 uk\n",
      "init molecule density = 4.39250723134e+11 cm^-3 (7.0410572668 %)\n",
      "two-body rate coefficient = 2.3001652222e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.106050109144\n",
      "loss rate coefficient = 6.61042145267e-12 (14.0748944553 %) (35.8762129262 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 4.10323680834\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0724714245664\n",
      "\n",
      "loss rate from EXP fit = 3.73893030331\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.3001652222e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.104540039428\n",
      "loss rate coefficient = 6.97899779554e-12 (12.1877121039 %) (35.1786913675 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.3001652222e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.108206714441\n",
      "loss rate coefficient = 6.92230726112e-12 (12.5036418052 %) (35.2893901675 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 20.0, sf = 0.0 --> Field = 907.3968 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 1 $$$ 1 $$$ 1 $$$ 1 $$$ 1 $$$ 1 $$$ 1 $$$ 1 $$$ 1 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 314.785986223E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 171.412080549k\n",
      "TOTAL Na num = 171.412080549k\n",
      "\n",
      "init mol temp/init Na temp = 1.01533141743\n",
      "init mol temp = 1.54908333333e-06 uk\n",
      "init na temp = 1.52569230769e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.03012946056\n",
      "\n",
      "init na num = 258.968097763 at 1.52569230769 uk\n",
      "init Na density = 3.8064642189e+11 cm^-3 (7.17579719645 %)\n",
      "\n",
      "init overlap density = 3.0543305449e+11 cm^-3 (8.96801068964 %) (34.1968597349 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.8024062146\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 45.5703340276 at 1.54908333333 uk\n",
      "init molecule density = 4.61355265641e+11 cm^-3 (7.39656026648 %)\n",
      "two-body rate coefficient = 2.42900478984e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.101780455851\n",
      "loss rate coefficient = 6.30337972079e-12 (13.5653170867 %) (35.6793753822 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 2.89573653756\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0558917004186\n",
      "\n",
      "loss rate from EXP fit = 2.62167556926\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.42900478984e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0998233537004\n",
      "loss rate coefficient = 6.81325417369e-12 (11.7384368092 %) (35.0255749235 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.42900478984e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.104689618352\n",
      "loss rate coefficient = 6.65457283093e-12 (12.1549595306 %) (35.1673576089 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 22.0, sf = 6.59 --> Field = 937.56128 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 2 $$$ 2 $$$ 2 $$$ 2 $$$ 2 $$$ 2 $$$ 2 $$$ 2 $$$ 2 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 331.853710704E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 188.568969143k\n",
      "TOTAL Na num = 188.568969143k\n",
      "\n",
      "init mol temp/init Na temp = 1.02460690024\n",
      "init mol temp = 1.55633333333e-06 uk\n",
      "init na temp = 1.51895652174e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.41745010059\n",
      "\n",
      "init na num = 284.888597582 at 1.51895652174 uk\n",
      "init Na density = 4.21534352623e+11 cm^-3 (7.34896970434 %)\n",
      "\n",
      "init overlap density = 3.37012068462e+11 cm^-3 (9.15142841555 %) (34.2454178255 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.799488977268\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 46.7407260211 at 1.55633333333 uk\n",
      "init molecule density = 4.69901646797e+11 cm^-3 (7.01377628029 %)\n",
      "two-body rate coefficient = 2.44037298698e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0876458683591\n",
      "loss rate coefficient = 7.80406127773e-12 (12.6714886438 %) (35.3492096722 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 3.50404093325\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0586424406757\n",
      "\n",
      "loss rate from EXP fit = 3.32227640473\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.44037298698e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0855322870997\n",
      "loss rate coefficient = 8.71387025194e-12 (10.5074104099 %) (34.6324367251 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.44037298698e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0906155620213\n",
      "loss rate coefficient = 8.27874354107e-12 (10.925188921 %) (34.7614693729 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 23.0, sf = 6.59 --> Field = 946.31712 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 3 $$$ 3 $$$ 3 $$$ 3 $$$ 3 $$$ 3 $$$ 3 $$$ 3 $$$ 3 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 325.019259082E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 173.916528035k\n",
      "TOTAL Na num = 173.916528035k\n",
      "\n",
      "init mol temp/init Na temp = 1.06759735855\n",
      "init mol temp = 1.62158333333e-06 uk\n",
      "init na temp = 1.51890909091e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.29432644339\n",
      "\n",
      "init na num = 262.751798417 at 1.51890909091 uk\n",
      "init Na density = 3.88797930889e+11 cm^-3 (6.96063512797 %)\n",
      "\n",
      "init overlap density = 3.05671360092e+11 cm^-3 (9.00352153744 %) (34.2061894995 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.786195953752\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 43.8684240662 at 1.62158333333 uk\n",
      "init molecule density = 4.14675681321e+11 cm^-3 (9.42121242305 %)\n",
      "two-body rate coefficient = 2.54268676128e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.108687409872\n",
      "loss rate coefficient = 9.16564677851e-12 (14.1135725712 %) (35.8914046914 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 3.56127556602\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0704272762686\n",
      "\n",
      "loss rate from EXP fit = 3.48427360515\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.54268676128e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.108464913218\n",
      "loss rate coefficient = 9.71826776114e-12 (12.5237569495 %) (35.2965223234 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.54268676128e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.113317908274\n",
      "loss rate coefficient = 9.66417053301e-12 (12.9463352919 %) (35.4486614344 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 24.0, sf = 6.59 --> Field = 955.07296 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 4 $$$ 4 $$$ 4 $$$ 4 $$$ 4 $$$ 4 $$$ 4 $$$ 4 $$$ 4 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 336.002389556E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 183.391372314k\n",
      "TOTAL Na num = 183.391372314k\n",
      "\n",
      "init mol temp/init Na temp = 1.04191235643\n",
      "init mol temp = 1.58243333333e-06 uk\n",
      "init na temp = 1.51877777778e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.29668320956\n",
      "\n",
      "init na num = 277.06632276 at 1.51877777778 uk\n",
      "init Na density = 4.10032526851e+11 cm^-3 (6.85230891677 %)\n",
      "\n",
      "init overlap density = 3.25604063649e+11 cm^-3 (8.87601915909 %) (34.1728505705 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.794093254381\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 45.9725277874 at 1.58243333333 uk\n",
      "init molecule density = 4.50791472436e+11 cm^-3 (8.39404472166 %)\n",
      "two-body rate coefficient = 2.4812984967e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0776261477213\n",
      "loss rate coefficient = 1.50952423189e-11 (11.7916031231 %) (35.0434288307 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 6.10910396966\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0567647000701\n",
      "\n",
      "loss rate from EXP fit = 5.51977239424\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4812984967e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0758864269073\n",
      "loss rate coefficient = 1.61733517232e-11 (9.76256444589 %) (34.4137714376 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4812984967e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0795764604218\n",
      "loss rate coefficient = 1.62463596663e-11 (10.0520792479 %) (34.4970186713 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 25.0, sf = 6.59 --> Field = 963.8288 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 5 $$$ 5 $$$ 5 $$$ 5 $$$ 5 $$$ 5 $$$ 5 $$$ 5 $$$ 5 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 359.25016473E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 190.714101793k\n",
      "TOTAL Na num = 190.714101793k\n",
      "\n",
      "init mol temp/init Na temp = 1.02520405912\n",
      "init mol temp = 1.54908333333e-06 uk\n",
      "init na temp = 1.511e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.21957737689\n",
      "\n",
      "init na num = 288.129448052 at 1.511 uk\n",
      "init Na density = 4.29701500967e+11 cm^-3 (6.91909496584 %)\n",
      "\n",
      "init overlap density = 3.43461170411e+11 cm^-3 (8.86405930656 %) (34.1697460832 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.79930177027\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 42.4796027537 at 1.54908333333 uk\n",
      "init molecule density = 4.30064620569e+11 cm^-3 (7.94391338324 %)\n",
      "two-body rate coefficient = 2.42900478984e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0833712277082\n",
      "loss rate coefficient = 3.33607132044e-11 (12.1687782249 %) (35.1721361803 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 12.7706326806\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0609891178267\n",
      "\n",
      "loss rate from EXP fit = 12.1354848776\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.42900478984e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0819465275237\n",
      "loss rate coefficient = 3.53363895922e-11 (10.2186352543 %) (34.5459188105 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.42900478984e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0855597526009\n",
      "loss rate coefficient = 3.51419752999e-11 (10.5106082307 %) (34.6334070715 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 26.0, sf = 6.59 --> Field = 972.58464 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 6 $$$ 6 $$$ 6 $$$ 6 $$$ 6 $$$ 6 $$$ 6 $$$ 6 $$$ 6 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 300.172998733E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 163.794688098k\n",
      "TOTAL Na num = 163.794688098k\n",
      "\n",
      "init mol temp/init Na temp = 1.05924414859\n",
      "init mol temp = 1.6443e-06 uk\n",
      "init na temp = 1.55233333333e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.47527135372\n",
      "\n",
      "init na num = 247.459797842 at 1.55233333333 uk\n",
      "init Na density = 3.54407659141e+11 cm^-3 (7.34415797328 %)\n",
      "\n",
      "init overlap density = 2.79538998016e+11 cm^-3 (9.43114589256 %) (34.3212253984 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.788749878299\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 34.9929914284 at 1.6443 uk\n",
      "init molecule density = 3.23947719565e+11 cm^-3 (10.3914780301 %)\n",
      "two-body rate coefficient = 2.57830711233e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.070460203341\n",
      "loss rate coefficient = 1.36462661831e-10 (11.772549231 %) (35.037022068 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 41.6150167881\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0577040430764\n",
      "\n",
      "loss rate from EXP fit = 38.6381494589\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.57830711233e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0671610807982\n",
      "loss rate coefficient = 1.45580372991e-10 (9.48764861867 %) (34.336794788 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.57830711233e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0709054449253\n",
      "loss rate coefficient = 1.45003741005e-10 (9.75628975442 %) (34.4119919472 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 28.0, sf = 6.59 --> Field = 990.09632 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 7 $$$ 7 $$$ 7 $$$ 7 $$$ 7 $$$ 7 $$$ 7 $$$ 7 $$$ 7 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 304.75699935E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 164.18982019k\n",
      "TOTAL Na num = 164.18982019k\n",
      "\n",
      "init mol temp/init Na temp = 1.06095308607\n",
      "init mol temp = 1.58654166667e-06 uk\n",
      "init na temp = 1.49539285714e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.39587334293\n",
      "\n",
      "init na num = 248.056760471 at 1.49539285714 uk\n",
      "init Na density = 3.75745713429e+11 cm^-3 (7.23864023643 %)\n",
      "\n",
      "init overlap density = 2.96172638709e+11 cm^-3 (9.08099530998 %) (34.2266632294 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.788226260803\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 36.5715197602 at 1.58654166667 uk\n",
      "init molecule density = 3.5721626615e+11 cm^-3 (9.21389620504 %)\n",
      "two-body rate coefficient = 2.48774047508e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0839078869106\n",
      "loss rate coefficient = 2.22417934061e-11 (12.3640531654 %) (35.2401732498 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 7.66652861032\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0614575645824\n",
      "\n",
      "loss rate from EXP fit = 7.13303301164\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.48774047508e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0839144476755\n",
      "loss rate coefficient = 2.38198169468e-11 (10.5099343725 %) (34.6332025738 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.48774047508e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0872331188845\n",
      "loss rate coefficient = 2.34704702218e-11 (10.7767595098 %) (34.7151054374 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 29.0, sf = 6.59 --> Field = 998.85216 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 8 $$$ 8 $$$ 8 $$$ 8 $$$ 8 $$$ 8 $$$ 8 $$$ 8 $$$ 8 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 344.044942931E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 190.20956563k\n",
      "TOTAL Na num = 190.20956563k\n",
      "\n",
      "init mol temp/init Na temp = 1.14193937487\n",
      "init mol temp = 1.62538095238e-06 uk\n",
      "init na temp = 1.42335135135e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.8744306251\n",
      "\n",
      "init na num = 287.367198564 at 1.42335135135 uk\n",
      "init Na density = 4.68753946483e+11 cm^-3 (7.16431619369 %)\n",
      "\n",
      "init overlap density = 3.58156397243e+11 cm^-3 (9.47685939794 %) (34.3338151688 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.764060548033\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 35.816693014 at 1.62538095238 uk\n",
      "init molecule density = 3.37379101615e+11 cm^-3 (9.09413784804 %)\n",
      "two-body rate coefficient = 2.54864153121e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0738884096571\n",
      "loss rate coefficient = 6.63805671913e-12 (12.0168978886 %) (35.1198780588 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 3.26835821056\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0510040325545\n",
      "\n",
      "loss rate from EXP fit = 2.88656753556\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.54864153121e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0692122955545\n",
      "loss rate coefficient = 7.42673746819e-12 (9.63495912731 %) (34.3777898851 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.54864153121e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0744111249815\n",
      "loss rate coefficient = 6.95107923774e-12 (10.0149475304 %) (34.4862171604 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 30.0, sf = 6.59 --> Field = 1007.608 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 9 $$$ 9 $$$ 9 $$$ 9 $$$ 9 $$$ 9 $$$ 9 $$$ 9 $$$ 9 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 300.181700616E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 160.22599986k\n",
      "TOTAL Na num = 160.22599986k\n",
      "\n",
      "init mol temp/init Na temp = 1.20822977078\n",
      "init mol temp = 1.69166666667e-06 uk\n",
      "init na temp = 1.40012e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.78682653013\n",
      "\n",
      "init na num = 242.068250167 at 1.40012 uk\n",
      "init Na density = 4.04730433111e+11 cm^-3 (6.91427478612 %)\n",
      "\n",
      "init overlap density = 3.01598817498e+11 cm^-3 (9.33603453727 %) (34.295211632 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.74518443098\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 38.5033367215 at 1.69166666667 uk\n",
      "init molecule density = 3.41579360742e+11 cm^-3 (6.83206763364 %)\n",
      "two-body rate coefficient = 2.65257933367e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.110117445706\n",
      "loss rate coefficient = 5.07925214861e-12 (14.4367606951 %) (36.019717647 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 2.31731748328\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.055809546649\n",
      "\n",
      "loss rate from EXP fit = 2.11437551113\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.65257933367e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.110666898906\n",
      "loss rate coefficient = 5.40486024825e-12 (12.943148405 %) (35.4474976639 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.65257933367e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.114408661185\n",
      "loss rate coefficient = 5.2959375858e-12 (13.2644970896 %) (35.5660917594 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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CGqBExIY3OD1vjHkVwBhTYozxGGNagafZW41XAPQPOjwP6JGWQp1uQ/V1WUkOLEHzLn3+yUpWrXyfd9//sE/MB9UvLQGLCBaLBVu0t83JIoIjOirkfFB+l19+OR988AG7du0KpN1xxx1MnjyZDRs28K9//SvkfVCdE85efIK3mm6jMeZ3QenZQbudB2zwrb8BzBQRu4gMAo4BPgtX/vx0ug2lvB0BclNiAiUpZ30dmemp5KYn94n5oBIdNnJTYrBZvMEw2mohNyWGKMv+g6PNZmPu3Lk88sgjgbTg+7B48eIu57Wvzv0USqcClIikiMhIETnRv3TisHHA5cD39ulS/oCIfCUiXwKTgbkAxpivgX8A3wBLgRtMD/TgW7hsU5tx+ACa3B4WLmvfsBkuWoJTkWbC5LP63HxQKbHRDEiLI9Fh49jsxE73XrzqqqvalLJ+9atfcdtttzFu3Dg8nq7/hHV0L/qiA84HJSL3AHOArextEzLGmF6fLKk75oMadOt/2jd04W0Q237fDw/p3J3hL8HtO1jtveeP0OGX+rCeng9q327W4K3iyk2J6fZu5jof1JGtp+eD+jFwlDGme57aizD+6TYSLBXUtyZhfLekp6bb2F8JTgOU6imhupm3GkNJjbNbA5TOB6W6ojMBagOQDJSGOS+9wj/dxrE5v2O3w81Al5DuiiFTsnh28X/ITh1JfL+hJGcfTU5aIkkxtkNqtN2XTpioIkGzp7VL6QdL54NSXdGZAHUvsE5ENgAuf6IxZlrYctWD/KWUV98dzeDmbdQ56vg00UmzZSewk+iKZRxd3MzQVW6ymqNJbE4i1uTgicnHnTAAS2o+MZmDSc3IISclhuykGOLsnR+gQydMVJEg2moJGYxCdT/vbTofVN/RmV/SZ4H7ga+A7v1zKkJ4p9t4JrDtafWws2YHXxet4suCz/m2ahPvukqopRloAraS697EMc3NDN3lZsiWZjKaBVdzGh+bDEqs/aiLycUdnwcpA7Gn55OelkF2soOcpBj6JTlw2LzDruiEiZHhtXWFfXpOsKwkR8g2qKwkRy/mSvV1nQlQ5caYRWHPSQSxWqwMTjmKwSlH8f+GXQJ4n8coayrj28pv+a7qOzaVf82mio180FBEq6+bhd0I+S0VDHHt5ljXhxxT18wxlW7Svmul2sRTYNLZaDL4r8mgytYPZ3wurUkDGN8/nVVFbmqdLaTHR3P9pKP4wYjs/WWx2/XlH+h9O6r4HzUA+sw98LczldQ4afa0Em21kJXk6JFx+FTkqGpsjqjvQGcC1BoRuRfvc0rBVXxrw5arCCQiZMZmkhmbycS8iYF0Z4uTrTVb+a7yO76r+o7N1Zv5qGoz/3LufV4j2WJnEDHkuz0c1VjGCQ0bGepqJKmuFXyPO9SYWAqjMyh0pVOwNJ2FS9OptWfTEp+LJbk/8WnZZCd7qxBzkh1kJ8WQmWAnqhuqYPr6D7R2VPFKiY3WgNSH9faAwaF0JkCN9r0GPwhhgF7vZh4JHFEOhqUNY1ha2xGNy5vK2Vq9lS3VW9hctZkt1Vt4u3oLDdZWSEgFUkmLTuRoexqDLTEMdLcyoL6OY2vKOaP+W6JbGsAD1HgX5w4bRSaNIpPGVpPOh6Sxx6TTFNsPT0IetpT+pKUkk53kDV7ZyQ6ykxxkJjiwHuBhw77+A60dVTr2z3/+k/PPP5+NGzdy7LHHdss5H3vsMR555BG2bt1KWVnZfp+ZMsZw00038eabbxIbG8vixYs58cT2j2FOmjSJPXv2EBPjbbt9++23yczMbLef2+1m7NixrFmzBoBrr72WWbNmMW7cuMA+CxYs4IEHHmDHjh2Bc8THx1NfX4/T6WTixIm4XC5aWlqYMWMGv/3tbwHYvn07M2fOpLKykhNPPJHnnnuO6OjQP+ybNm3i2muvpbq6GpfLxYQJE3jqqadYsWIF5557bmBop/T0dN555x0A/vGPf7BgwQJEhBNOOIEXXnih0/dh586dXHnllZSVlZGamsrf/vY38vLy2hxbUuPkqUUPcvXPfhlIC9WTc8eOHXz88cdccsklIa+tOx0wQBljJoc9F0eg9Jh00mPSOTX71ECaMYbihmK2VG9hW802tlRvYWv1Vl6t3IqrtdH72HQKxKTnc2xKPoPt6QyyxjKo1cIgZxPZteVkVxdwcs1Gop1lCAbcQKV3qTIJFJlU9phUvjZpvGPSKJY0nDHZmIQcolPyyEhJpF+Sg5xkb1tYTlLoThrQd36gj4SOKuGqon3xxRcZP348f//731mwYEGXju1oiotx48bxox/9iEmTJh3wHG+99RabN29m8+bNrFq1iuuvv55Vq1aF3Pf5559nzJj9P2qzcuVKTj/99MD2qlWrePzxx9vtl56ezkMPPcT999/fJt1ut7N8+XLi4+Nxu92MHz+ec845h7FjxzJ//nzmzp3LzJkzue666/jzn//M9ddfHzIfP//5z5k7dy7nnnsuAF999VXgvQkTJvDvf/+7zf6bN2/m3nvv5aOPPiIlJYXS0o47VYe6D7fccguzZs1i9uzZLF++nNtuu63dc2jNnlb+9NjDbQKUPz3Yjh07eOGFFyIjQInInaHSjTF3d392jmwiQnZ8Ntnx2UzImwD4qtc+/RKnqcJiL8ESXUprTBmVjgZ21n/BK0FVhdGWaAbmDiT/uNHkxw9gUHQi+UQz0O0hsbGc5JpC4qt2c1TVbqz1n2NrrvEeGBTEKkwiewJBLJV3TCrnW1IpJpVi410a8TaMp8RGs3ZXFTlJMWQk2A9YEjtcHe4dVcJVRVtfX89HH33Ee++9x7Rp0wIBasWKFdx5552kpaWxadMmJk6cyOOPP47FYiE+Pp5f/OIXLFu2jIceeojx48e3O+/o0aPbpXXk9ddfZ9asWYgIY8eOpbq6mj179pCdfXBttEuXLuWcc84BvA+UDhkyJGQQvfLKK1m8eDHz589vM0CtiBAfHw94S2NutxsRwRjD8uXLA6Wa2bNns2DBgg4D1J49e9qUYEaMGLHffD/99NPccMMNpKSkAIQsHe7PN998w8MPPwzA5MmTmT59ert9fn/fb3E5m/jxlAkcNeRYLr3qehbM+xkvv/keDQ0NnHLKKbz00kvceuutbNy4kVGjRjF79mzmzp3bpbx0RWeq+BqC1h3Aj/DO7aS6gbd6rRVIwtOShKdhCO4qqGqM4aNbv0e1s5rttdvZVr2NHbU72F6znU2Vm1i+azmeoJGgUh2p5CfmM3DwcQxMnMrAxIEMjMmkv7HgaCiHmkKoLSK1poDEqt0cXVOEtX41tubqdnmqNTGUmFSK3SlsezqVj00KpaTidGRhEvoRlZxDXGo2/ZLj6eevUkxydFubWE/z/4gfrp1EwlVF+9prrzF16lSGDBlCamoqa9euDVSvffbZZ3zzzTcMHDiQqVOn8uqrrzJjxgwaGhoYPnw4d9/dPX+/FhYW0r//3jGk8/LyKCwsDBmgrrjiCqxWKxdccAG33357yOcV33vvPe666y7AWzqbOnVq4D1/B4GSWicJ8fFcfPlsHn300UAVnp/H4+Gkk05iy5Yt3HDDDZx66qmUl5eTnJxMVFRUm3x2ZO7cuXzve9/j9NNP5+yzz+aKK64gOTkZgA8//JBRo0YBcOGFF/Kb3/yG7777DiAwfNKCBQva5P1A9+GEE07glVde4aabbuKf//wndXV1VFRUkJaWFjjugQfu5/lnnuYfyz4MpE06+wc8/ci9mJZmLrvsMoYPH859993Hgw8+2K6UFw6dqeJ7KHhbRB7E22FCdYMDtX8kO5IZ7RjN6My2f3W6PW521+9mR80OdtbuZEftDnbU7OCDgg+ocFa02TcrNouBiQMZkDiAAYNHMSBxGgMSBpCXkIet1UDdHlau/ZJ3P1uHvbGEoxy1nJru4iRTiaXuO6KdZViMxztHcpV38WwTykmi2KRSalLYaJIpI4UmewaeuH5YkvphT8khKa0fWcnxZCc56JfoICvRQXRU5AUx76MGh0dA2le42tBefPFFbr75ZgBmzpzJiy++GAhQp5xyCoMHDwbg4osvZuXKlcyYMSPww9hdQg3FFirwPP/88+Tm5lJXV8cFF1zAc889x6xZs9rsU1RURGpqKrGxsQAsW7YsMPXHvh0EPK2G6ZdcycxzzuCXv2xb5WW1Wlm/fj3V1dWcd955bNiwgaysrE7l0++KK65gypQpLF26lNdff50nn3ySL774AghdxdfS0sLmzZtZsWIFBQUFTJgwgQ0bNgSC2oHuw4MPPsiNN97I4sWLmThxIrm5uYFg6pcSG41F9j4TF221cM9v7+LsM8bhcDhYtKjnO3MfzJTvscDg7s5IX3Ww7R82q43BSYMZnNT+n6K+uZ6ddTvZWbOTnXU72VW7i121u3hn5ztUu9qWmDJjMslLyKN/Qn/6/6g//RPGkpeQR0JCf2Lsyd7/ZK0eaCiDuj1QuwfqirDUFZNSVURcdSFH1e4hqmkbjuYqb8eOWt+yG1qMhXKSKDXJbDLJfGiSqbel0xKbSWt8FtFJ/XCk5pCUnktmShI5yd4g5n9OTB1YONrQKioqWL58ORs2bEBE8Hg8iAgPPPAA0P7H17/tcDj2O7V6V+Xl5bWZj6mgoCDkVOj+0cMTEhK45JJL+Oyzz9oFqLfeeospU6YA0NjYSHV1deBcoYZ6ik9M4pxzLwjZRgWQnJzMpEmTWLp0Kb/85S+prq6mpaWFqKioDvMZLCcnhyuvvJIrr7yS4cOHs2HDhg73zcvLY+zYsdhsNgYNGsTQoUPZvHkzJ598cqfuQ05ODq+++irgrbp95ZVXSEpKCvlZx2YnBtaLi4upr6/H7XbjdDo7PX1Jd+lMG9RX7B0k1gpkANr+1E3mTRnKvCVf4Pbs/c9hs8ohtX/ER8eH7FkIUOOqYXfd7sCyq3YXu+t280nRJ7ze9HqbfeNsceTF55GXkEdefB65CbnkxueS1+975MTn4Ihy0KaPUksz1BdDXYnvtRhPdRExlYXk1eyhf30J0c6dxLirsDQYb+Vx0KzgVSaeMpPEGpNMTVQKTdHpeGIzkPhMbEnZxKb2Iyk9j7TMHLJT4ro0YseRLBxtaEuWLGHWrFk8+eSTgbQzzjiDlStXAt4qvu3btzNw4EBeeuklrrnmmoO/gP2YNm0ajz32GDNnzmTVqlUkJSW1q95raWmhurqa9PR03G43//73vznrrLPanWvp0qXcc889gLeqb/Lkvf2/OhrS6ZKrf8qcc88KjFZeVlaGzWYjOTmZpqYm3nnnHebPn4+IMHnyZJYsWcLMmTN59tlnAx0gQlm6dClnnnkmNpuN4uJiKioqyM3N5dtvvw25//Tp03nxxReZM2cO5eXlfPfdd4ESbGfuQ3l5OampqVgsFu69916uvPLKkJ9js9lwu93YbDYArrnmGu655x62b9/O/Pnzeeyxx3p0OpDO/A//UdB6C1BijOl4Bi/VdfvWYux/gPlDkmRPIsmexPD09hPFNbU0UVBXQGF9YSCAFdYXsqNmBysLV+LyuNrsnx6TTm58bmDJic/xLok5ZOeMxG61Ywfs+36Qx+0tkdWXQF0Jruoi6iuLaK4qJrZ2D4May7A7txPfvBq7y+mtVgya1NRjhEoSKJRk6qypNNnT8MSkI/EZ2BL7EZuaTUJ6DmmZuSSmZSNRR/azPeFoQ3vxxRe59dZb26RdcMEFvPDCC1x00UWcdtpp3HrrrXz11VdMnDiR8847r9PnXrRoEQ888ADFxcWMHDmSH/zgB/zpT38Kue8PfvAD3nzzTY4++mhiY2MDVXIAo0aNYv369bhcLqZMmYLb7cbj8XDWWWfxk5/8pM15PB4PmzdvDnSVf+utt5gxY0bg/Y6GesrKyOC8884LdDDYs2cPs2fPxuPx0Nrayo9//OPA7ML3338/M2fO5Pbbb2f06NFcddVVHd6Dt99+m5tuugmHw9shaeHChfTr16/DADVlyhTefvttjj/+eKxWKwsXLgy0H3XmPqxYsYLbbrsNEWHixIltxi30Hw/egDRy5EhOPPFEpkyZQlRUFJdccgkej4fTTz+d5cuXM2HCBKKiojjhhBOYM2dOWDtJHHC6DQARsQJZBAU0Y8yujo/oGd0x3UbT8QMXAAAgAElEQVRvG3ff8pDVM7nJ3k4SkcIYQ3lTeSB4FdUXUVhfGFiKG4rbdNoAbwDLicshOz67zWu/uH5kx2eTGJ3YwacFcdVBfSmummJqywpoqCjCVV2Mp64ES2MZ0c4K4tyVJLVW4SD0gPu1xFNnTcYZnYrbkYaJyyAqMQtHUiYJadkkpGVjjc+EuHRwJIOl99vIenq6ja5YsWJFjzWSd5eVK1fyt7/9jSeeeAKAE088kVWrVgVKCj053ciRrken2xCRnwF34a2M8f+JYYCRXf0w1d7h8pCoiJARm0FGbAajMke1e7+ltYWyxjIK6wvZ07CHwvpCiuqLKGooYmPFRpbvWo671d3mmHhbPP3i+nkDVlx2m9d+sf3IjMvEbk8AewL2tKPIGOytXw7JGNxNtVSWFlJVWkhD5R6aqkvw1BZDQzk2VwUxrgoSGr8jtfJzUqU+5Gk8WGiKSsZlT6U1Jg1LfDrRCZk4kjOxJWR4g1hsGsT6X9PAqlWNkW78+PFturyvXdt2IBwd6ikydeZ/1k3AUGNMxQH3DCIi/YG/Av3wBranjDGPishC4P8BzXgnQbzCGFMtIvl4u6/7p7L91BhzXVc+83B0JDwkChBliQo84xVKq2mloqmCPQ17KGooYk/9HoobitnT4H39uvxrqlxV7Y5LdaSSFZtFVlwW/WL7kRWXRVZsFv3i+gWGnoqJigERbLFJZOUnkZV/fIf5bG01VDY2s6GqnsqyYmoqimiqKqa5ppTW+jIsTeVEuypJdNWSVldFauku0qQWmzR0eE63LRETm4YlLh1rQjriD1z+JSY1aDs1YkppB2vSpEmdesj2vPPOC0zV7nf//fcHOioEi4QpNMIx1NP//u//8vLLL7dJ83cdVwfWmRl13wO+39V2JxHJBrKNMWtFJAFYA0wH8oDlxpgWEbkfwBgz3xeg/m2Mad840oEjoYpPZ9Tdq6mlieKGYkoaSyhuKA4sJY0lgbS65vaNs4nRiWTGZpIVmxUIWv7tjNgMMmMzSXWkYpHOB4U6p5viGid7apwU1zopq6qnurIEZ00J7tpyb6msuZJU6kiROtKklhTqSLfUk26pI8nUYcMd8txGLIgjeW/Aikn1vaYEtjdGj+S4oUPAEgUWq/e1C/lXqrf09Iy624AVIvIf2g4W+7v9HWSM2QPs8a3XichGINcY83bQbp8CM0Id31cc7g+Jdpf2Q/WczHUh7kGjuzEQsEobSylpKGmzvalqExVNFZh9eppESRRpMWlkxmaSHpNOZmwmGTHeKkv/dnpMOin2FKwWKwkOGwkOG8dkJQSdpe1/OleLh9JaF8W13kC20RfQSmqdFNc0UVNTjbuunCRTQ4rUk0wdqVJHqqWBHFcDWa2NpDU2kMwWElprcbTUEOVxek8+5SVMubTtzi0WEGtQ0PKv+7bbvBfl27b6jjsyRwFRkaUzfRq6ojMBapdvifYtXeYrHY0G9h1E60rgpaDtQSKyDu9TNLcbYz7cZ39E5BrgGoABAwYcTHYizuH8kGh36MpQPbG2WAYlDWJQ0qAOz9fS2kJ5UzlljWWUNpZS2lRKWWMZJY0llDeVU1BfwNrStdS4atoda4wFS2s82fGZHJWaTUZsBmmOtMDYiukx6aTFeLdjo2Lpn+pdOtLaaqhoaKakdm9prKTGySe1ToqDtutc3goKO82kUMfNVXZMWiJJCbHYLQabtBIlrVhpxYoHS6sHi8cNxoO0eth/109pH7SCg1xwYAt+X6yHdVWk6lnGGCoqKgI9E7tDp3rxHdIHiMQD7wP/a4x5NSj9N8AY4HxjjBEROxBvjKkQkZOA14Bhxpjajs59JFTxqd7rydjsaaa8qZwl67/miZXrcUsNElWLRNURZasnL70FNzVUOivb9VAEcFgdpMWkeRdH+9dURyppMd7XxOjE/Y4sUO9qoThQ+nJSXtfIQLuTuKhWWo3B0+oNdvv+bxUBqwhRFogSgzV4wWChFcEgphU6WvZLvEFKLIBl77q/VCZB2/73kbb7qD7D4XCQl5cX6B3pF84qvoMmIjbgFeD5fYLTbLzPV51pfBHSGOPCV4VojFkjIluBIYBGoCNcb/VkjLZGkxOfw0srv6Wxum3HChdQX+sNkJ5WD9WuaiqcFZQ3lntfm8opb/KuVzRVUFBfwBdlX1DlrGpXvQjeTiSp9lRSY1JJdXiXFEdKYN2/PSAzlRMGpBBny20X0Fo8rZTXN1PsC2L+YFbiK4n5S2MNze2DaVKMjaxEO1mJ3iGn+iV5R+zolxBFjqOZrOgmkqURq6sanDXQVA3O6n1ea3xL0PqBApwtDhyJ4EjyLnb/euI+60n7pPteo+O1FNeHhS1Aifd/15+BjcHtVSIyFZgPnGGMaQxKzwAqjTEeERkMHIO3/Usd4Xq7J2NH0434060Wa6CkNCRlyH7P5Wn1UOWqoqKpgkpnZSCAVTmrAttVzip21u6k0llJU0voz462RJPsSPYGLntKYD3Znuzdjk/muLQUTnekkOLII8mehM3i/au1zun2BS9v+1hJcHVirZPvSuooq3PRuk8cjbIIGQl2shL70S8xPxDEstLt3nEUfdvx/hE8jPE+p+aq3RvU/Otttv0Brdb7gHblVu+6swZaQ3ck2UvAnhAUtEKst9n2pwW/JoAtRktzh6FwlqDGAZcDX4nIel/ar4FFeAcX+K/vL0R/d/KJwN0i0oJ3RLfrjDGV7U+rjjThGO6pK6wieEJUdVsP4gfNarEG2qo6o9HdSJWrKhDAKp2VVDn3ble7qqlyVlFQX0C1s5o6d8dDzMTb4kmyJ5FiTyHJkUSyPZlkezJJqUkcn53M6fZkkuxJJNtziI9KoMUdS02jhdI6F6W+ElhxjYuSWidbyur5aEt5oG2szefYo9qUxjITHfRLjCUrMdUbxLK8I9vbDjSyvTHQ4vQGq+DA5qoNSqttGwRdddBYDpXbvGmuOu85DkSs+wSt+KCAlgDRCW3To4Pej473pkf73o9yaLDrIZ15UNcBXAUMAwKtX8aY0IM57X1/JRDqX/HNDvZ/BW91oOqLenC4p32FCk77S+9OsbZYYm2x5MZ3rpOM2+P2Bi1fUKt2VVPtrPa++pYqVxXVzmp21OygxlVDvTv0Q8ng7d2YaE/0BjJ7EklpSQzMSWSkPYnE6ERirAkYTwzNbgfNLgf1TTZq6m1U11spqW1m1fZKSuucbf64AO/vd1pctLcEFljsgRHt/dupcQ4kIQYS2o8G3mktzXuDmKsWXPV7g1tzne+9fZdaaKyEqp3e7eZ679IZlqi9ASw6HqLjfAEsfp+AFucNasHv+/ePjvPtGwe2WA14HehMCeo54FtgCt5BYi9F54NS3Wjhsk2496lvcreaHptyPreDKsbcCHxY2ma1BUb06Cx3q5saVw01rhqqXdWB9cB2897t4sZiNlVtotpV3WH1o198cjyJmYlkRycSGxWPTeKwmFiMx4Hb7cDliqbJZWd7QxTrSqzUNERhWmMwnhgwUYAQbbX4qhXt9EtykJngaxtLspOV4C2dZSXaSXDYOs5IVDREpUFcWsf7dEarxxukXPV7X121+6TV7X31p/nfry/1pdVBcwN4Qg+91Z7sDVqBJb6D9Thvu96++wfSYveuR9kP+8DXmQB1tDHmQhE51xjzrIi8ACwLd8ZU39Hbwz0d7jPqHojNYutStaOf2+OmprmG2uZaal211DbXUuPau13TXBNIr2uuo7K5kFpXLXXuur3BTYB47xI8UYNVooi2xBFFLLQ62ONxsKvBjrMyGrc72hfIHJhWB3gcRFtiSYtNIiM2kayEFPISU+iXFN+mVJaRYD+0aVos1r2dObpDS/PeANbc0D6g+dObG0KvN1ZC9S5obtx7XGsXxksQS4jAFbu31BYd522b86fbgt6LTYVjf9g99+EQdCZA+Vsxq0VkOFAM5IctR6rP6e1OEvqwdGg268EFNvB24a9trqW+ud4b0EKs1zXXeRe397U+aDtU6a3at2xuBsrBlNowrXbwBTLT6iBKYoixxhFniyMxOp7kmATSYhLJiEsiKz6J3MRkcpNSSLInEBft3S/aEr3fRwAOWlQ0RPlGCekuLc3gbggKZkGLu8EXzDpYd/u2XXXeKXH2TQ+uV08ecNgEqKdEJAW4A+9MuvHAnWHNlepTIqEE09cflu5u0dbogw5u4K2WbGhuCApe9dS562hwNwS2yxtrKG+spbKphlqXN+A1tlThai2i0jRR7m6CFgMHmLpIsBItMTii4oiNiiUhOp4kexzJMYnE2+K87YRRscTZ4gJLrM277U+PjYoNtCf6e1OGRVS0d4lJ6d7z+jus+ANWV0pqYdSZKd/9E7W8j86kq8JASzBqXzaLjWRHMsmO5APv3AFjDA3NjRTUVLOrupLC2kr21NVQWl9DeWMN1U311LjqqGuup87TSL24wOpCLE2IpRqxbMMa5QKLCyMuOttzx2axBYJaIHD5XmOiYgLb+677twPr/nSbdzusgU/EV90XAxxiW1436sxgsXbgArzVesHzQfX6rLo6koRSqju4Pa1U+B6CLql1UlrrpKTW2+W+tM5FcW0TJXW11DgbwOJCLC7E0gwWF1FRzSTGtBIX6yHW7sFhbyHa5sYa5UYsLpBmPDhpbm2iqaWJRncjjS2NB+yEsq8oS1T74OVbHFGODrcdVkcgbd90/7YjyhG+qk7CO5LE60AN3tHIXQfYVymlDjs2q4V+Sd4RNvanuaWVsnoXxTVOyuq8Qay41klprYvSOiellS621jqpaWr/ALLNKmTE28lMdDA00U5GYjRpCUJSvCEhppWEmFZi7R6sVjfOoGDW1NLU4eJscVLbXEtJY0lg2/9eqBFN9kcQbxCzOshLyOOFH77QpePDoTMBKs8YMzXsOVFKqQgXHWUhNznmgI8gON0eyur2lsBKfCWy0jpvMNtW1sCn2yoPEMhSyEzoR1ai98Hn3EQHmcl2X1d8Oymx0VgsoUs8xhiaW5tpcvsCmccZCF7OFidNHm+6q8WF07M33dnixOlxEmvreADkntSZAPWxiIwwxnwV9twopdQRwGGzHnCke9h/ICurc7G9vIFV20MHMv/QVJm+AOZdvMErM9G7npnoIDMuCWsHgSzSdSZAjQfmiMh2vFV8AhhjjE75rpRSh6CrgcxfAiupdVJS5wpULe6qaGT1jkqqGtsHMqtFSI+P9gashODgZW+Tlh7fieGpelhnAtQ5Yc+FUkqpDnU2kLla/IFsb/AKvNa5KKpx8kVBNRUNzezbP84/PFVGgoOjMuJ47JITw3hFndOZbuY7eyIjSimlDo09ykpeSix5KfsPZG5PK+X1/iC2t4qxzBfQemAYyk4J63xQSimlIo/NaiE7KYbspLadPV5bVxh4HnHcfct7/XlEDVBKKaV4bV1hmxFdCqubuO1Vb9+43gpSkdUippRSqlcsXLapzXBjAE1uDwuXbeqlHGmAUkopRe/PKhBK2AKUiPQXkfdEZKOIfC0iN/nSU0XkvyKy2fea4ksXEVkkIltE5EsR6f0uJEqpPuO1dYWMu285g279D+PuW85r6wp7O0s9qqPZA3pqVoFQwlmCagF+aYw5DhgL3CAixwO3Au8aY44B3vVtg7c7+zG+5Rrgj2HMm1JKBfjbXwqrmzDsbX/pS0Fq3pShxOwzn1Zvz4sWtgBljNljjFnrW6/DOwtvLnAu8Kxvt2eB6b71c4G/Gq9PgWQRyQ5X/pRSyi8S21962vTRudx7/ghyk2MQvDNK33v+iCO/F5+I5AOjgVVAljFmD3iDmIhk+nbLBXYHHVbgS9uzz7muwVvCYsCAAWHNt1Kqb4jE9pfeEGnzooW9k4SIxAOvADcbY2r3t2uItHaPixljnjLGjDHGjMnIyOiubCql+rBIbH9RYQ5QImLDG5yeN8a86ksu8Vfd+V5LfekFQP+gw/OAonDmTymlIDLbX1R4e/EJ8GdgozHmd0FvvQHM9q3PxjvflD99lq8331igxl8VqMKvr/dgUn1bJLa/qE7MqHvQJxYZD3wIfAW0+pJ/jbcd6h/AAGAXcKExptIX0B4DpgKNwBXGmP1Ol6sz6naPfZ8gB+9fj/ofVCnVHcI5o+5BMcasJHS7EsCZIfY3wA3hyo/q2P56MGmAUqrvCB6LLyc5RsfiU71PezApiLwfJ9WzdCw+FZG0B5PSB1VVJD4LpgFKaQ8mFZE/TqpnRWJNigYopT2YVET+OKmeFYk1KdoGpYDIe4Jc9ayc5BgKQwQjrebtO+ZNGRqyN+8RORafUurwodW8KhJrUrQEpZQK/AhpL76+LdJqUjRAKaWAyPtxUkqr+JRSSkUkDVBKKaUikgYopZRSEUkDlFJKqYikAUoppVRE0l58EUAH6VRKqfY0QPWySBxBWCmlIoFW8fUyHaRTKaVCC+eU738RkVIR2RCU9pKIrPctO0RkvS89X0Sagt57Ilz5ijQ6SKdSSoUWziq+xXincP+rP8EYc5F/XUQeAmqC9t9qjBkVxvxEJB2kUymlQgtbCcoY8wFQGeo9ERHgx8CL4fr8w4UO0qmUUqH1VhvUBKDEGLM5KG2QiKwTkfdFZEJHB4rINSKyWkRWl5WVhT+nYRaJIwgrpVQkEGNM+E4ukg/82xgzfJ/0PwJbjDEP+bbtQLwxpkJETgJeA4YZY2r3d/4xY8aY1atXhyXvSimluoeIrDHGjOnqcT3ezVxEooDzgZP8acYYF+Dyra8Rka3AEECjj1JK9ZBIeyazN56DOgv41hhT4E8QkQyg0hjjEZHBwDHAtl7Im1JK9UmR+ExmOLuZvwh8AgwVkQIRucr31kzad46YCHwpIl8AS4DrjDEhO1gopZTqfpH4TGbYSlDGmIs7SJ8TIu0V4JVw5UUppdT+ReIzmTqShFJKqQ6fvezNZzI1QCmllIrIZzJ1sFillFKBjhB9vRefUkqpCDR9dG5EDRKgVXxKKaUikgYopZRSESmsQx2Fm4iUATu78ZTpQHk3nu9w1NfvQV+/ftB70NevH7r/Hgw0xmR09aDDOkB1NxFZfTDjRR1J+vo96OvXD3oP+vr1Q+TcA63iU0opFZE0QCmllIpIGqDaeqq3MxAB+vo96OvXD3oP+vr1Q4TcA22DUkopFZG0BKWUUioi9ckAJSJTRWSTiGwRkVtDvG8XkZd876/yzQx8xOjE9U8UkbUi0iIiM3ojj+HWiXvwCxH5RkS+FJF3RWRgb+QznDpxD64Tka9EZL2IrBSR43sjn+FyoOsP2m+GiBgR6fVebd2tE9+BOSJS5vsOrBeRq3s0g8aYPrUAVmArMBiIBr4Ajt9nn58CT/jWZwIv9Xa+e/j684GRwF+BGb2d5166B5OBWN/69UfSd6AL9yAxaH0asLS3892T1+/bLwH4APgUGNPb+e6F78Ac4LHeymNfLEGdAmwxxmwzxjQDfwfO3Wefc4FnfetLgDNFRHowj+F0wOs3xuwwxnwJtPZGBntAZ+7Be8aYRt/mp0BeD+cx3DpzD2qDNuOAI6nBujO/AwD3AA8Azp7MXA/p7D3oNX0xQOUCu4O2C3xpIfcxxrQANUBaj+Qu/Dpz/Ue6rt6Dq4C3wpqjntepeyAiN4jIVrw/0j/vobz1hANev4iMBvobY/7dkxnrQZ39f3CBr6p7iYj075msefXFABWqJLTvX4ad2edwdSRfW2d1+h6IyGXAGGBhWHPU8zp1D4wxfzDGHAXMB24Pe656zn6vX0QswMPAL3ssRz2vM9+BfwH5xpiRwDvsrVnqEX0xQBUAwX8F5AFFHe0jIlFAElDZI7kLv85c/5GuU/dARM4CfgNMM8a4eihvPaWr34O/A9PDmqOedaDrTwCGAytEZAcwFnjjCOsoccDvgDGmIui7/zRwUg/lDeibAepz4BgRGSQi0Xg7Qbyxzz5vALN96zOA5cbXYngE6Mz1H+kOeA981TtP4g1Opb2Qx3DrzD04Jmjzh8DmHsxfuO33+o0xNcaYdGNMvjEmH2875DRjzOreyW5YdOY7kB20OQ3Y2IP563sTFhpjWkTkRmAZ3l4sfzHGfC0idwOrjTFvAH8GnhORLXhLTjN7L8fdqzPXLyInA/8EUoD/JyK/NcYM68Vsd6tOfgcWAvHAy77+MbuMMdN6LdPdrJP34EZfKdINVLH3j7bDXiev/4jWyXvwcxGZBrTg/S2c05N51JEklFJKRaS+WMWnlFLqMKABSimlVETSAKWUUioiaYBSSikVkTRAKaWUikgaoJRSSkUkDVBKdZKIJIvIT4O2c0RkSZg+a7qI3NmN53tQRL7XXedTqifoc1BKdZJvXrB/G2OG98BnfYx35ILybjrfQOBpY8zZ3XE+pXqClqCU6rz7gKN8E7ctFJF8EdkAgYndXhORf4nIdhG50Tfp4ToR+VREUn37HSUiS0VkjYh8KCLH7vshIjIEcPmDk4hcKCIbROQLEfnAl2b15eFz30jT1wYd/yvfRINfiMh9AMaYnUCaiPQL+11Sqpv0uaGOlDoEtwLDjTGjIFCiCjYcGA04gC3AfGPMaBF5GJgFPAI8BVxnjNksIqcCjwP7Vr2NA9YGbd8JTDHGFIpIsi/tKqDGGHOyiNiBj0TkbeBYvIO6nmqMafQHRp+1vnO/ctB3QKkepAFKqe7znjGmDqgTkRq8UxUAfAWMFJF44HT2ju8HYA9xnmygLGj7I2CxiPwDeNWXdrbvnDN820nAMcBZwDP+yRaNMcGj8JcCOYdwfUr1KA1QSnWf4Ck5WoO2W/H+X7MA1f4S2H404Q04ABhjrvOVtn4IrBeRUXjn8vmZMWZZ8IEiMpWO5/dy+M6t1GFB26CU6rw6vPMEHRTfFOrbReRCAPE6IcSuG4Gj/RsicpQxZpUx5k6gHO8cPsuA60XE5ttniIjEAW8DV4pIrC89uIpvCLDhYPOvVE/TAKVUJxljKvC29WwQkYOdYfdS4CoR+QL4Gjg3xD4fAKNlbz3gQl+nhw2+974A/gR8A6z1pT8JRBljluKd02e1iKwHbgHwBbKjgSNpPiN1hNNu5kpFIBF5FPiXMeadbjrfecCJxpg7uuN8SvUELUEpFZn+D4jtxvNFAQ914/mUCjstQSmllIpIWoJSSikVkTRAKaWUikgaoJRSSkUkDVBKKaUikgYopZRSEUkDlFJKqYikAUoppVRE0gCllFIqImmAUkopFZE0QCmllIpIGqCUUkpFJA1QSimlItJhPaNuenq6yc/P7+1sKKWU2o81a9aUG2MyunrcYR2g8vPzWb1a519TSqlIJiI7D+Y4reJTSikVkTRAKaWUikgaoJRSSkWkXmuDEhErsBooNMb8SEQGAX8HUoG1wOXGmObeyp9SvcntdlNQUIDT6eztrCjVaQ6Hg7y8PGw2W7ecrzc7SdwEbAQSfdv3Aw8bY/4uIk8AVwF/7ImMvLaukIXLNlFU3UROcgzzpgxl+ujcnvhopUIqKCggISGB/Px8RKS3s6PUARljqKiooKCggEGDBnXLOXulik9E8oAfAn/ybQvwPWCJb5dngek9kZfX1hVy26tfUVjdhAEKq5u47dWveG1dYU98vFIhOZ1O0tLSNDipw4aIkJaW1q2l/t5qg3oE+BXQ6ttOA6qNMS2+7QIgZBFGRK4RkdUisrqsrOyQM7Jw2Saa3J42aU1uDwuXbTrkcyt1KDQ4qcNNd39nezxAiciPgFJjzJrg5BC7mlDHG2OeMsaMMcaMycjo8nNf7RRWN3UpXSmlVM/ojRLUOGCaiOzA2ynie3hLVMki4m8TywOKeiIz1g4ifkfpSvUVixYt4rjjjuPSSy/d737x8fEA7Nixg+HDh4c9X/7PO9R9VOTr8U4SxpjbgNsARGQScIsx5lIReRmYgTdozQZe74n8eEzIglqH6eGgnTRUJHr88cd56623uq3BW6muiqTnoOYDvxCRLXjbpP7cEx+amxzTpfTupp00VCS67rrr2LZtG9OmTePhhx9mwYIFPPjgg4H3hw8fzo4dOzp1rhUrVnDGGWfw4x//mCFDhnDrrbfy/PPPc8oppzBixAi2bt0KwM6dOznzzDMZOXIkZ555Jrt27QJg+/btnHbaaZx88snccccdbc69cOFCTj75ZEaOHMldd93VPRevIkavjsVnjFkBrPCtbwNO6ek8zJsylNte/apNR4kYm5V5U4b2yOfvr5OGlqIUADffDOvXd+85R42CRx7p8O0nnniCpUuX8t5775Gens6CBQsO6eO++OILNm7cSGpqKoMHD+bqq6/ms88+49FHH+X3v/89jzzyCDfeeCOzZs1i9uzZ/OUvf+HnP/85r732GjfddBPXX389s2bN4g9/+EPgnG+//TabN2/ms88+wxjDtGnT+OCDD5g4ceIh5VVFjkgqQfWK6aNz+b/zhpNibaVx8ypo9XD60WlMHprZI59f1EFnjI7SlTocnXzyyWRnZ2O32znqqKM4++yzARgxYkSgJPbJJ59wySWXAHD55ZezcuVKAD766CMuvvjiQLrf22+/zdtvv83o0aM58cQT+fbbb9m8eXMPXpUKt8N6NPPuct6JecT/5FzOXruWfvnH8V/X7UzYXsl1k47iitMHERNtDdtn5yTHhOwxmNNDVYzqMLCfkk5PiYqKorW1NbDd1Wdd7HZ7YN1isQS2LRYLLS0tIY8J7rIcqvuyMYbbbruNa6+9tkt5UYePPl+CAsAYTrzqKqba7ZTt2EjV43MwK5/hf194l4kL3+O5T3bQ3NJ6wNMcjHlThhJjaxsAe7KKUanOyM/PZ+3atQCsXbuW7du3d/tnnH766fz9738H4Pnnn2f8+PEAjBs3rk2635QpU/jLX/5CfX09AIWFhZSWlnZ7vlTv0QAFIELaT3/KW1VVbJg7l4kYNrz7EiV/up5cq5M7Xv+aM3+3giVrCvC0dm/vvumjc7n3/BHkJscgeDtn3Hv+CG1/UhHlghCek+QAACAASURBVAsuoLKyklGjRvHHP/6RIUOGdPtnLFq0iGeeeYaRI0fy3HPP8eijjwLw6KOP8oc//IGTTz6ZmpqawP5nn302l1xyCaeddhojRoxgxowZ1NXVdXu+VO8R04PdqbvbmDFjTFgmLCwr4/nLLuPd//6XPzscrLjpt9z4XQH1R53J0VmJzP3+EH4wPBuLRZ+VUuGxceNGjjvuuN7OhlJdFuq7KyJrjDFjunoubYMi9HNIly5bxqXbtsHtt7Ppvl/xDXBM7us0XXo3N77QwLH9tvCL7w/h+8dn6ZA0SikVBn2+im+/zyENHgwvvMBlH37IZdnZ7CncyWcPzCbrP3dStOFTrnluDdMe+4jl35ZwOJdElVIqEvX5ANWZwWLjx4/nuaIitrz8MtdmZvL5hrVs/PN8/ie7jqrGZq5cvJrpj3/Mik2lGqiUUqqb9PkA1ZXnkLJmzOAPxcWsXriQB7KyuOzmi3nzxVvIePt/KCzYzZxnPuf8P37M+9+VaaBSSqlD1OcDVEfPG3X4HJIIJ95yC3MLC+HZZ/nT7p2sXvcpux6cxdllyymubGD2Xz7j/D9qiUoppQ5Fnw9QB/0cktUKs2bxi+Ji/nbllf+fvfuOjqrcGjj82+kJhIQOCR2khiQgVYoBVLAhKIiAehEL6sV6RfFTBPWqeKNysV3FAoqIWAFBwEJTegu9idTQE1IgCSnzfn9MMiaQhAyZzEwy+1lrFpkzZ87sc1bInrec/dJI4KNP3+Kvl26i/orJHD+Txoip6xjw3gp+26ljVEopZS+PT1Clvg/J15fhn3zCmuRkfrj3XjKys1n/xy8sWvw6EyMDSUzL5N7P1nPTO3+wcNsxLA6+j0opdzdt2jRGjx59yX2OHv17hZ377ruPHTt2lHVoys3pNHOsSaq0N8ZKYCADPv6YhLfeYtfLL1Pls8/oPrwPD/r4cPPt93K4+hAe/GIjzWtX5p+9mnFj27r4eHv89wOlAGuCioiIICwsDICPP/7YxREpd6B/IR3Mp0oVImJjYf9+1v/jH6RlZ/PFlx+S+cpA7syJw2Kx8NhXcfR5axlfrT1UZiWUlHKEAQMGcOWVV9KmTRumTJkCWBcDfO6554iKiqJLly6cOHECgB9//JHOnTvTrl07rrnmGtv2PKmpqTRu3JisrCwAUlJSaNSoEd988w3r169n+PDhREdHk56eTkxMDHk34S9cuJD27dsTFRVFnz59nHj2ytW0kkQZO5+YyNT77+fV2bM5bLFQ2dubKe9+yZdZddkan0LdkADu69GEoZ3qE+SnDVpllf9u/Bd/3M6OoykOPX7rsCqMv7nNJfdLTEykWrVqpKen07FjR5YtW0aNGjWYO3cuN998M08//TRVqlTh+eef58yZM4SGhiIifPzxx+zcuZM333yTadOmsX79et59913uuecebrnlFgYMGMCUKVPYvXs3b775JjExMbzxxht06GAtNpD3vGHDhrRv357ly5fTuHFjWzzKfTmykoS2oMqYf7VqPPjdd+w9fZp7OnWiPnDHQ0OY+9VY7j+/mvDQAF6et4NuExcz+de9JKVlujpkpWzefvttW0vp8OHD7N27Fz8/P2666SYArrzySttyGUeOHKFv3760bduW2NhYtm/fftHx7rvvPqZOnQrA1KlTueeee4r9/NWrV9OzZ0/bqr6anDyLfmV3Ev+qVfl0zRrIyICpU1n94os8v3IlDXxf58l/jmFzi/5M+nUPHy7fx9BODbivR2PqhuiSG4oStXTKwtKlS/n1119ZtWoVQUFBxMTEkJGRga+vr628l7e3t225jEceeYQnn3yS/v37s3Tp0kIXOezWrRsHDhxg2bJl5OTkEBERUWwMxhgtJebBtAXlbAEB8NBDtN21i7uvugqM4fH/vsqqB3vSe8P7XHtFNaatPEDP/yzhqW82s/eEVmdWrpGcnEzVqlUJCgpi165drF69+pL7h4dbJxt99tlnRe539913M3To0AKtp+Dg4EIrkXft2pVly5bZlvdITEy8nFNR5ZQmKBepFBrKZytW8GdqKlMfeohj2dlM/fUnho3pz9IaBxjWPox5W45y7aTl3DttHWv3J+q9VMqp+vXrR3Z2NpGRkYwbN44uXboUu/+ECRMYPHgwPXr0oEaNGkXuN3z4cM6cOWNbJRdgxIgRPPjgg7ZJEnlq1qzJlClTuPXWW4mKimLIkCGlPzFVbugkCTeRef48M555hns2bsT8/jttvbxoH9WOiGffY+bOZM6kZRFdP5RRPZtwXZs6eDt4qY/CKrrrmlSuU5GX2/j222+ZM2cO06dPd3UoqgzochsVjC05BFzLxzf055lBRzjw5Ei2b9pA7du78HDXqwh98AW+O5HJQzM20rB6ECO7NWZwh3oOmfmXV9E9r2huXkV3QJOUcqhHHnmEBQsW8NNPP7k6FFUOaAvKxS5MDmAttfTKgDaEbP6F2HHjWJR7h/07V3ag6bj/8uERiDucREigL8M7N+AfVzWidpWAy46h28TFxBdSHDc8NJAVY3tf9nHV5avILShVsek08wqkqOU+3vxlL31GjmRhfDwz3nmHpqGh3LRrJ9cP6M6t797H07KJLo2r8b9l++j++mKenBXHtvjkIj6lePZUdFdKKWfRBOViJUkOw0aP5s8zZ2gUH4+JjeWfu3fzz4njiH84htfSljKsfRgLtx/npnf+YMiHq/h5+3Fy7Kj5Z3dFd6WUcgJNUC5mV3IICUGeeoo/1q7lwT59WHv+PEPffoN3BrfnzpVv8Wz3cI6cSeeB6Rvo9cZSPv1jP6kZWZeM4bIruiulVBnSBOVivVrWtGs7QFSHDvzv1185mJzMc3feSQpw+LdfGHVrJ2Zv/IB/t8imZrA/L83bQdfXFjNh7nb2nz5X5PFKXdFdKaXKgE6ScDFHTFDIyMhA9u3D/8MPue399/khJ4f7atXipieeZ0nDbszbdpxsiyGmeU3+cVUjel5REy8HT1NXjqWTJFR5pZMkKhBHTFAICAjAv00bePttbn77bSLDwph28iQDnn2Upf/owqhtn/Bo5zC2HU1hxNR1XPPWMqau2E9KCbr/lOd6++23adWqFcOHDy92v8qVKwNw4MCBS5YucoS8z7vcfQ4cOICI8M4779i2jR49mmnTphV7zAkTJhAeHk50dLTtkZSUVOK4lf00QbmYoycojHj4YeLi4zl05Aj/d/vtbM7K4tW53/P4kC6s2DuDN9sHERLky4s/7qDLq7/x3A9b2X08ldmb4uk2cTGNx86n28TFzN4UX5rTUhXA+++/z08//cSMGTNcHYrD1apVi8mTJ5OZaV9x5ieeeIK4uDjbIzQ0tIwiVKAJyuXKaoJCnfBw/j1rFkfi45k7fTpy773smPUVdwzpjd+4/rxbeTc3tK7FNxuO0Pe/y3ny6zjik9Ix/H2jriYp9xETE2P7hp+VlUVMTAxffPEFAGlpacTExDBr1izAWhMvJiaG77//HoDTp08TExPDjz/+CMDx48cv+XkPPvggf/31F/3792fSpElMmDCBN954w/Z6RESErYr5pSxdupSrr76a22+/nebNmzN27FhmzJhBp06daNu2Lfv27QPg4MGD9OnTh8jISPr06cOhQ4cA2L9/P127dqVjx46MGzeuwLFjY2Pp2LEjkZGRjB8/vkTxgLWEUp8+fQqtGfjRRx/RsWNHoqKiuO2220hLSyv2WG+99RYjR44EYOvWrURERJCWlsaECRO466676N27N1dccQUfffRRieNTVi5JUCISICJrRWSziGwXkRdztzcWkTUisldEZomInyvic6aynqAQFhZG9zvvhPff5/j06VStXJnvExO5edy/WHtXZx5YO5nw7LNcOCs9PSuH2EW7HRKDKn8++OADwsLCWLJkCU888USpj7d582YmT57M1q1bmT59Onv27GHt2rXcd999tq620aNHc/fdd7NlyxaGDx/Oo48+CsBjjz3GQw89xLp166hTp47tmD///DN79+5l7dq1xMXFsWHDBpYvX17imMaOHcubb75JTk7B+xBvvfVW1q1bx+bNm2nVqhWffPKJ7bVJkybZuvd69eoFwOOPP86ff/7JDz/8wD333MOHH35IUFAQAFu2bGH+/PmsWrWKl156qcCy9urSXFXq6DzQ2xhzVkR8gT9EZAHwJDDJGPOViHwA3Av8z0UxOo0jlpwviX6DBnFy0CCOxsfz0XPP8fr06fz+yyLW/rKI1CYdmNz1DjaHt4Dc5Q3ik9JZuvukTqpwA0uXLrX97OvrW+B5UFBQgechISEFnteoUaPA8/x/5J2lY8eO1K1bF4CmTZty3XXXAdC2bVuWLFkCwKpVq2ytvrvuuounn34agBUrVvDdd9/Ztj/zzDOANUH9/PPPtGvXDoCzZ8+yd+9eevbsWaKYGjduTKdOnfjyyy8LbN+2bRvPP/88SUlJnD17lr59+9pee+KJJ3jqqacK7O/l5cW0adOIjIxk1KhRdOvWzfbaLbfcQmBgIIGBgfTq1Yu1a9cyYMCAEsWnHJCgRKQqUD//sYwxG4t7j7FOHTyb+9Q392GA3sCw3O2fARPwgATlbGHh4YyfNo0HXnuN6e+9x5bVh7lxzTy2zniKql7etI++gZU97uR8YCVGTF1HvaqBDO3UgNs71KdmsL+rw1cu4OPjg8VisT3PyMiw6/3+/n//3nh5edmee3l52daTulD+daAKWxPKGMOzzz7LqFGj7Iolv//7v/9j0KBBBZLaiBEjmD17NlFRUUybNq1Aci/K3r17qVy58kUtpAvj1rWt7FOqLj4ReRnYArwNvJn7eKPYN/39Xm8RiQNOAr8A+4AkY0zeb+sR4KJmhYg8ICLrRWT9qVOnShO+x6tbty5P//vfVI99lT4PTuF0YAjbLRY+3fgj3pOHEDP9YV6tl0r9qoHELtpN19d+4+EZG/h97yksdlSqUOVfo0aN2LjR+r1z48aNtvWZHOmqq67iq6++AmDGjBl0794dsC5ymH97nr59+/Lpp59y9qz1u258fDwnT5606zNbtmxJ69atmTdvnm1bamoqdevWJSsrq0QTRJKTk3nsscdYvnw5CQkJfPvtt7bX5syZQ0ZGBgkJCSxdupSOHTvaFZ+nK20L6nagqTHG7nXKjTE5QLSIhAI/AIXd9HHRX0FjzBRgCljvg7L3c9XFrN2LXYit/j2HTyRQa+ciTq38lqnxh0h+ZCjf1a/PnyMeYmbLXnz/ZwI/bT1O/WqB3NGxAYOvrEetUhSqdRe63EjxbrvtNj7//HOio6Pp2LEjzZs3d/hnvP3224wcOZLY2Fhq1qxpWxp+8uTJDBs2jMmTJ3PbbbfZ9r/uuuvYuXMnXbt2BaxTy7/44gtq1apl1+c+99xztm5CgJdffpnOnTvTsGFD2rZtW2AhxUmTJtkmpwDMnj2bl156iYcffpjmzZvzySef0KtXL1uLrFOnTtx4440cOnSIcePGERYWZv+F8WClulFXRL4DHjLG2Pe15eLjjAfSgGeAOsaYbBHpCkwwxvQt6n0V4UZdcM8/jhkZGbz5+usMrVGDJnPn8sTPPzMVGNuyFfVHPcePgY1Zvf8M3l5C75a1GNqpPj2vqImPd/mbGFpURXlXVtPQG3XLvwkTJlC5cuWLxqwqOndaD+o1YJOIbMM68QEAY0z/4t4kIjWBLGNMkogEAtcArwNLgEHAV8A/gDmljM/tuetaTAEBATyXN233n/8kfdgwLN99x7O7dhLwxJ308PXl6X79SRr8ON8dOMMvO05Qp0oAg66sx+0d6tOgepDLYrdXURXlYxftdvkXBaU8WWlbUNuBD4GtgG0E1Riz7BLvi8Q6CcIb6zjY18aYl0SkCdbkVA3YBNxpjDlf1HEqQguqPK3FZIwhbv16powfz4cLFuCPdaZLzlXd+Kn/Pcyp1oplf53BYqBrk+oM6ViffhF1CLjgPi9303js/Iv7kgEB9k+80dnhANqCcoStW7dy1113Fdjm7+/PmjVrXBSRZ3CnFtRpY8zb9r7JGLMFaFfI9r+ATqWMqVwpT2sxiQjtOnbkfz/9xKi4OPatX493cjKnPviAQWPvI1qEZ3v2IXXIY/xwJo3HZ8URPMeH/lFhDO5Qn6h6IW45iykk0Jek9IvLPoUE+rogGuUobdu2JS4uztVhqFIobYLaICKvAXMp2MVX7DRz9bew0MBCW1DuvhZT3s2KACf69KFJ//4cOX2aB5b9SsiyX2nvH8BLdz1EXOeBfLfxCDPWHOKKWpUZdGU9BrYPp1aw+0ysKCpnumEuVcqjlHZEux3QBXgVO6eZK6uKsBZTVHQ0ew4dIj41lYVz5tCgfn2WnM8g+ONJvHV/Tz7/aQJP+eyjiq/w2oJddH1tMSOnrWP+lmNkXDD24wpJaYUXzS1qu1LKOUrVgjLG9HJUIJ4qbxDe3WbxXQ5vb2/69u/PdTffzPr167mydm2YOZNh48axb+Na+onweJeenB00mnlHk1m86yRVAny4OSqMW9vXo32DUJd0AZbXVqxSFV2pEpSIvFDYdmPMS6U5rqdxVqkjZxGRv29IfOYZHg0IYNHXX7N1yxYWrlqG76plXOvnR+yDY/muXndbF2Cj6kEMbFePge3CnToLcEzfFoVOMy9PrVilKqLSdvGdy/fIAa4HGpXymKqCefSxx5i/YgUHkpP58YcfqFy5MmerVKHHlP/w+iPXET15KPcf/406PhYm/bqHnrFLGPS/lcxYc5CkNLvvAbebrihcOF0PqqD860FFREQwd+7cAq9HRUUxdOjQS8amSq60XXxv5n8uIm9gnTCh1EW8vLy4acAAElNTrRWkz51j+uOPM2vqVGZ9Nok2TCImNIwT3Yezz/dqnjt4hglzt9OrRS0GtgunV8taZTZlvaK1Yh3h/fffZ8GCBTRu3NjVoThc3npQo0aNws+v5Ism5BWL3blzJz169ODkyZN4eXmxc+dOLBYLy5cv59y5c1SqVKkMo/ccjq5mHgQ0cfAxVQXk7e0NVapwz0cfsaBmBOtWxZG65Wc+SzoK82KZOS+Wql1vYu1Nw5l70Iefd5wgOMCH6yPqcEt0OF2aVMfbgyqsx8TEXLTt9ttv5+GHHyYtLY0bbrjhotdHjBjBiBEjOH36NIMGDSrw2qUKoOZfD2rkyJEkJycXqIoQERHBvHnzaNSo0SVjX7p0KePHj6d27drExcVx66230rZtWyZPnkx6ejqzZ8+madOmHDx4kJEjR3Lq1ClbqaMGDRqwf/9+hg0bRnZ2Nv369Stw7NjYWL7++mvOnz/PwIEDefHFFy8ZD1jXg+rWrRufffYZ999/f4HXPvroI6ZMmUJmZibNmjVj+vTptuUz8rRq1QofHx9Onz5NrVq1+PLLL7nrrrvYuXMnc+fO1ZaUg5S2WOxWEdmS+9gO7AYmOyY05Qm8vb2J82qJ11VDkAc/ofpN/6JK7Wb81fV2mu6JY+VzQ0l8oS9Dfn2dHjnH+GnLMYZ/vIaur/3Giz9uJ+5wEqW52VwVTteDKnw9qDxr1qzBy8uLmjVrAjBr1iyGDBnC0KFDmTlzpt3XRxWutC2om/L9nA2cyFeNXKkSycmXYCq36QVtejEFmNLjLmr/9Cwn9+zhPxt+x2fD77QSL66J7oYMepIZqw8ydcUBGlYP4ubIMPpHh9G8drDrTqQMFdfiuXA9qAtduB6UK1SU9aDyisUGBwcza9YsRIR169ZRs2ZNGjZsSL169Rg5ciRnzpyhatWql3Wt1N9KOwZ1UES8gdq5xwoTEYwxhxwSnXIaVxas9RYpkKRs2728WLN1Kzk5OcRt2sS0//yHd7/5hrNbVvLXpt9JCg7l/9p2JaHXnby/NI13l/xJi9rB3BxVl5siw2hUQ8cBHEXXg7IqbMHCmTNnsmvXLlt3Z0pKCt999x333XffZcelrErbxfcIcALrek7zcx/zin2Tcjt5BWvjk9Ix/F2wdvameKd8/tDO9Yvd7u3tzZUdOvDO119z6NAh5sXFwe+/syqmB/9buYAfXhlOizdv5bo/PsD/5GHe+HkPMW8s5aZ3fueDZfs4nJjmlPOoyHQ9qMJZLBa++eYbtmzZwoEDBzhw4ABz5szRbj4HKW0X32NAC2NMgiOCUa7h6mre/x7QFoCZaw6TYwzeIgztXN+2Pb/69etDfWviatesGY+88grZR47w46+/snDFPGTFPGKDQggZ9DA/BnRi4oIUJi7YRVS9EG6MrMv1EXWpX638VFp3F7oeVOGWL19OeHg44eF//z/p2bMnO3bs4NixY7ZuTXV5SlvNfAlwravGnSpCNXN34I7VvO1lsVh46803+WDyZH67/noa/vILIw8e5Fcvb65q35uE7rez19/6xyKqXgg3tK3LDW3dN1lpNXNVXrlTNfO/gKUiMp+CxWLfKuVxlRNVhFI/Xl5ePDVmDE+NGWPdYAx/dehAwpYtzFr/C6z/hUZe3jRs0pacwc/y2pFkXluwi7bhIVzftg43RNTVMSul3ExpE9Sh3Idf7kOVQxWy1I8ISzdsICsri7179vDtBx/w0nvvkbJ/KwmvDeFQSG0eql2fpE438fqRK/nPwt20rBNMv4g6XB9Rl+a1K7vl0iBl6UxaJieSM8jMseDn7UXtkACqBpXf/9a6HlT5V6ouPlfTLj7Hccdl5x0tOTmZU6dO0czXl30ff0yzf/8bgDrixRV1m5IQ0ZuzEX0RXz9qBvsz6Mp69G1TxyXrWDm7i+9MWibxZ9Kx5Pt74CVCeNXAcp2klPM5sotPE5TySOfPn2f27Nkc+/NP5s6YxR+7tpFlDLd7+3Ftu+v5unVP9oTWgcAQ6lQJ4Lo2tenbpg6dGlfD17u0JSwvzdkJatexFDJzLBdt9/P2omXdKk6LQ5V/7jQGpVS55O/vz5AhQwD4xrsrNfbuIvWPL8is35bKpw5Q/8tn+SU7k+ZBIZiIHkzffwOfraxPaJAffVrV4rrWdejZvAZBfhXjv1Bhyam47Uo5Q8X436VUKRxNSsevZkOqD3yOTcAm4GydplRZO5sgfwtr186DtfMI8vLm2htH81taDN9vjMffx4vuzWpwbeva9GlVm5rB/pf6KLfl5+1VZAtKKVe5rAQlIu9AoTOTATDGPHrZESnlZIXNYqzc7kbCew1ixdjeHD58mPvvvJPd27bxYdZuLO98RHSOITGgEss6DWDRFd3xrVKD6AahXNu6Nte2qk2zWuVrkkXtkIBCx6BqhwS4MCrl6S7369F6YEMxD6XKjTF9WxB4wTIe+Wcx1q9fn4XLlrE/IQHvBQvwPnGclOAgzqUns+/Xj4n/3whOv3kbce8/z38W7ubaScu5OnYJL/64nRV/niYz2/27yaoG+RFeNdDWYvLz9iK8aiBLF81HRNi1a5fDPuvdd9+lWbNmiAinT58udl9jDI8++ijNmjUjMjLSVs3iQjExMbRo0YLo6Giio6OLrCiRlZXFlVdeaXs+atQoVqxYUWCfCRMmEBQUVOAYeetLZWRk0KlTJ6KiomjTpg3jx4+37bN//346d+7MFVdcwZAhQ8jMLHots927dxMTE0N0dDStWrXigQceAKw1F0NCQmzncc0119je8/XXX9O6dWvatGnDsGHD7LoOBw8epE+fPkRGRhITE8ORI0cKff+rr75aZMx5Dhw4cFH9wjJjjCn1AwgGKjviWPY8rrzySqOUI/yw8Yi56rXfTKNn5pmrXvvN/LDxyCXfk5WVZbZt3Wqev/9+4yViulWpYo6F1DRT2vQxNaqFm+pX323CH5pqIsb9ZB7+YoP5dv1hczo1o0Tx7Nixo8zjL4nBgweb7t27m/Hjx9v93uzs7EK3b9y40ezfv980bNjQnDp1qthjzJ8/3/Tr189YLBazatUq06lTp0L3u/rqq826desuGdPixYvN6NGjbc+joqIuinP8+PGmfv365umnn7Ztq1SpkjHGGIvFYlJTU40xxmRmZppOnTqZVatWGWOs12rmzJnGGGNGjRpl3n///SLjuO6668zs2bNtz7ds2WKMMWbJkiXmxhtvvGj/PXv2mOjoaJOYmGiMMebEiROFHreo6zBo0CAzbdo0Y4wxv/32m7nzzjsLfX/eeRanqBjzFPa7C6w3l5NbLudNtjdDBNYu+4NY74faALQpzTHteWiCUu7i/Pnz5ty5c8YkJppZjz1msHaBG8BUDQoxIY3amdp3vWUaPTPPDHjnd/POb3vMtvgkY7FYCj2ePQnqh41HTMvnF5iGz8yzPVo+v6DUSSo1NdWEhYWZ3bt3mxYtWti2L1myxPTo0cMMGDDAtGrVyowaNcrk5OQYY6x/4MaNG2c6depkfv/992KPX5IE9cADD5gvv/zS9rx58+bm6NGjF+1X0gT19NNPm/nz5xtjrNd48ODBF+0zfvx4M378eNOwYUOTkJBgO68LnTt3zrRr186sXr3aWCwWU716dZOVlWWMMWblypXmuuuuKzKOtm3bmvXr11+0vag//mPGjDEfffTRJc+vqOvQunVrc/jwYWOMNckGBwdftM8zzzxjvLy8TFRUlBk2bJhZu3atadu2rUlPTzdnz541rVu3Nlu3bjWdO3c2VapUMVFRUeatt9666DiOTFClHQGdAjxpjGlojGkA/Av4qJTHVKrc8fPzsy5qV7Uqt//3vxw6dIi4jRt544knqBHoQ/KBTYz68XUe/eNL4md/zrNPPc41z31Ol5cWMfa7LSzafpyz5y+vYlhxtRRLY/bs2fTr14/mzZtTrVq1At1ra9eu5c0332Tr1q3s27fPtkzGuXPniIiIYM2aNbZir6URHx9vrb+Yq169esTHF17E+J577iE6OpqXX365yDXClixZYlv8ccGCBRctgJincuXKjBw5ksmTL17eLicnh+joaGrVqsW1115L586dSUhIIDQ0FB8fn0vGCdaq6L179+b6669n0qRJJCUl2V77u/4WwwAAIABJREFU/fffbV10r7zyCgB79uxhz549dOvWjS5durBw4cIij13YdYiKirItWfLDDz+QmppKQkLBEqoTJ04kMDCQuLg4ZsyYQceOHenfvz/PP/88Tz/9NHfeeScRERFMnDiRHj16EBcX55C1wopT2ll8lYwxS/KeGGOWiojWi1Eer379+tSvX5+odu14PDaWNWvWcOUVV+C/YgXfPfggZ0+c4Oymn0jxr8yOulfwYcMoqnW4ic5Na9OrTRidq1kwxpRoosXRQspUFbe9pGbOnMnjjz8OwB133MHMmTNp3749AJ06daJJE+vi2UOHDuWPP/5g0KBBeHt7FyjoWlqFJZrCrsmMGTMIDw8nNTWV2267jenTp3P33XcX2Ofo0aNUq1bNtjruokWLbAVpC/Poo48SHR3Nv/71rwLbvb29iYuLIykpiYEDB7Jt2zZq165dojjz3HPPPfTt25eFCxcyZ84cPvzwQzZv3gxAjx49ClRXB8jOzmbv3r0sXbqUI0eO0KNHD7Zt20ZoaGiJrsMbb7zB6NGjmTZtGj179iQ8PNyWTIvzwgsv0LFjRwICAnj77bcvub+jlbYF9ZeIjBORRrmP5wHH1+FXqhzz9vbmqquuwr9mTRgwgHm7djFn9mw+efVV+ke0IONgHMnLpnH3mh9IWL+Zpye8wvGEJHbFn+FIYhrJ6VnkWIqeaFFUzcTS1FJMSEhg8eLF3HfffTRq1IjY2FhmzZplSxgX/vHNex4QEIC3t/dFx7tc9erV4/Dhw7bnR44cISws7KL98qqJBwcHM2zYMNauXXvRPgsWLLAtPpiWlkZSUlKhx8oTGhrKsGHDeP/994t8PSYmhoULF1KjRg2SkpJsa1sVFWd+YWFhjBw5kjlz5uDj48O2bduK3LdevXrccsst+Pr60rhxY1q0aMHevXsv2q+o6xAWFsb333/Ppk2bbK2ykJCQYuMDSExM5OzZs6Smptq9BpgjlDZBjQRqAt8DP+T+fE9pg1KqIgsNDaX/Lbcw8tlnmbl+Pbv27uXrmTMZP/EhFoaf4NzSqVjSUzl3/C9OHv6LfX/9xbb9x9l3PIWTKRmkZWYXaFlcahbi5fj222+5++67OXjwIAcOHODw4cM0btyYP/74A7B28e3fvx+LxcKsWbMc0p1XmP79+/P5559jjGH16tWEhIRctIRFdna2bTZgVlYW8+bNIyIi4qJjLVy4kOuvvx6wdvX16tXrkp//5JNP8uGHH9oSz6lTp2zdcenp6fz666+0bNkSEaFXr158++23AHz22WfccsstRR534cKFZGVlAXD8+HESEhIKLNlxoQEDBthWHj59+jR79uyxtWBLch1Onz5tW3DytddeY+TIkYV+jq+vry0ugAceeICXX36Z4cOH21YyDg4OLnYJEkcqVYIyxpwxxjxqjGlvjGlnjHnMGHPGUcEp5QmaNm3KoDvugG7d4MUXWbZiBdWqVqVu1aoEmGws6amY5BNY0tM5npLBrj/3s23/cQ6dTOHMuUxujKzLa7e2JTw0EAHCQwN57da2paqlOHPmTAYOHFhg22233WabXty1a1fGjh1LREQEjRs3vmjf4rz99tvUq1ePI0eOEBkZWezKszfccANNmjShWbNm3H///QVaM9HR0YC1bFXfvn2JjIwkOjqa8PBw7r///gLHycnJYe/evbRs2RIofvwpvxo1ajBw4EDOn7cu1nDs2DF69epFZGQkHTt25Nprr+Wmm24C4PXXX+ett96iWbNmJCQkcO+99xZ53J9//pmIiAiioqLo27cvsbGx1KlTp8j9+/btS/Xq1WndujW9evUiNjaW6tWrl/g6LF26lBYtWtC8eXNOnDjBc889d9F1BGtCioyMZPjw4Xz++ef4+PgwbNgwxo4dy7p161i8eDGRkZH4+PgQFRXFpEmTLnkNS6O060F1AP4PaES+8SxjTGSpIysBrcWnKqq8emYWi4WUlBS8jSHYYiExIZG/UpKtO4kX4huAePsQVDmEkMqVqFzJn0p+Pnh5ld1NwkuXLuWNN964aJzEnf3xxx988cUXfPDBBwC0b9+eNWvW4Ovr6+LIKh53qsU3AxgDbAXc/25EpcoZLy+vAgPhoVWr0iQpCcv585xNTibpXBrZmRZyjOG0lx8nk1OxpKdSqVIwoSFVqFzJn0Bf73JV1aIsdO/evUA3ZFE3/Cr3UtoEdcoYM9eeN4hIfeBzoA7WpDbFGDNZRKoBs7C2xg4At2t3oVIFeXl5Ua1aNQBq1K1LTk4OSUlJhPj54ZWWxp7E05zNOk9KegopCccQHz+8fXwJCalOleAgKgf54+fjVaqEFRMTY5uqXZyBAweyf3/BOVOvv/66baJCflOnTr1oSne3bt147733LjtOd/DKK6/wzTffFNg2ePDgAl1sqmil7eLrAwwFfqPgirrfF/OeukBdY8xGEQnGenPvAGAEkGiMmSgiY4Gqxphnivt87eJTFdXOnTttg+/2yMnJITUlhZyMDJKTkjmTdg5jDEHV65Pt60926mm8crIJrlyFqqFVCK4chK+PFoRVjmGMYdeuXW7TxXcP0BLw5e8uPoN1Vl+hjDHHgGO5P6eKyE4gHLgFiMnd7TNgKVBsglKqogoICCAhIYHq1avblaS8vb0JrVoVgOq5Lay0tDQqe3uTmXKWHWkpZBsLZzLOcub0MfD2wcfXj5rValG5UgCVKgfi46EVzCvaisLOZowhISGBgADHFRgubYKKMsa0vdw3i0gjoB2wBqidm7wwxhwTkVpFvOcB4AGABg0aXO5HK+XW8ma5nTp1yqHH9Q8MIDsri6zz50lLS+NcRgYiQkJyGhYRcs4m4OXlTYCfH0EBAQRWCsTLq+InrLTMbJLSsrDk61CKFwgN8q0wa345Q0BAAPXq1XPY8Up75VeLSGtjzA573ygilYHvgMeNMSkl/ZZojJmCtcQSHTp0KL/LAStVjLwbMsuaxWLhbGoqASdP88ecX7nx2UfIsRgsltyyS94+1G/ehVG33EWX1uG0692BauEXV00o77pNXHzRkitgnbK/YmxvF0SkoPQ36nYH4kRkt4hsEZGtIrLlUm8SEV+syWlGvvGqE7njU3njVIXXy1dKOYyXlxdVQkLwu6IpvZ8aRWZWJunp51i5YCH33DyYIF8//L28+CyrFsMXbqN6vbqE1GzI1Z2uY/wDT7J32UooxTi2uyirclGqdEo7SaJhYduNMQeLeY9gHWNKNMY8nm97LJCQb5JENWPM08V9vk6SUMo5MpJS+PCt//HSO2+Q4+1PcuIxMNZh5ys6DWRodBfqBWVQq34oNz0wEu/c9ZPKC21Bla3LnSRRqgR1OUSkO/A7Be+d+j+s41BfAw2wLt0x2BiTWNyxNEEp5RqJZ5L4z4sTmfXD90TE3MW+mm048OMbpO9ZhbePP+HVw2hWozqd2zTn2Rf+j+DWrcGN78WavSmeZ7/fWqAqfKCvd6krciircpOgHEkTlFKOM3tTPLGLdnM0KZ2w0EDG9G1R4j/OWTkWPv30S6ZP/Ywz52F//F+kn9gPGKLueovu55M4sOMXvHyy+NfIu+k4ZAhBtQqdB+UypTl/VTxNUEqpyzZ7UzxjvtlMVr5pbL5eQuzgqMv6I22xGH5bsZGZ07+iUngH1qd6sfaDB7Gcs3aKiHhRyc+fptWqs2LCBCpd1RlatQIHVkJX7kMTlFLqskW/+DNJ6VkXbQ8N9CVu/HUO+YyDp1OZ89Myfv99LRt2bOfgxp8RHz8aPjSV1if+4tcvn6GKnx+3tGpNTLcuNO3dm4433YSXJq1yTxOUUuqyNRo7v8jXDky8sUw+Mzktiw0HTrNx837W7jrKnP+NwZJ1npyziZhsa2GaukFVWHDDrTRv1YDX9/1J/5Ejade7t8fXFixvXFVJQimlLktIkC+9W9eld2vr+k5ZL9zKzmMprN19jAXzf2bZwm9Ir9OCW5reimXvVg5/9SUvfvkllX18aRMaildQIGPuuYeBjz0GudUzVMWiCUopRdUgX86kXdzFVzXIectR+Hp7EVkvlMh6odzXpxW89RjHktPZeDCJVduqMj/zMY6cSSUjMZ4NB7eQfegQL06fT8L8OE4n/snrh/dwW1QUva+9ljb9+tGqSxf8/LRUUXmmXXxKKeskiW83k5WTb5KEtxA76PImSZSV89k5bItPYdOhM6yK+5Nt8UmcoBIpG34kaek0xJLzdxUM4KvOnRlyyy2s9Pdnr68vg++9l6CgIBeegWfSMSilVKmU12nWJ1My2HQ4iU2Hkti49xjrt+4gYftyMv7aQKMbn6DT2URWLXqPfckn8AFaBQcTWrUqIbVq8cWnnxISEeHW92hVBJqglFIKyLEY9p5MJe5QEpuPJBF3IJEtmzdzbt8ajMWC17FdpB7eTk5ONgvrR9AlK4nr01I4ZLHwj969ierRgxqRkXS66ioql7OKGO5KE5RSShUhLTOb7UdT2Hw4ic1Hktl8KJG/DsXjE1wdgJQvx5J+Yh+ZmRlYsP5N9BMhY8QIJDqaMStX0qB9e4bfd59twUhVcpqglFLKDmfOZbIlPpkth5PYEp/M1iNJHEtMJfP0Ic5t/Y0qmWe5vXkXIg5s5f6N82x12cIDAjjv5cU17dox89NPoWlTjp44Qd26dXX6exE0QSmlVCnM3hTPxAW7OJ6SQbC/D/WrBXEyNYPTZzPJSjxK1om9hJw5jPehbRw4vJNm3r6sEgFvqJKeTq2AAGJataJV27bEWyz8Y9Qounfv7urTcguaoJRS6jIVVSz21YERdG1ag63xyWyNT2Z77r8nU89jjEFEqJd2kkPfTyTgXDJnz57hWHYmANf7+fHT1Vezo25des+ezaC+fbn+jjto0qoVoaGh1KlTx2NaXJqglFLqMtm73MbJlAy2H01hW17iOppie3/O+TQqxW+mpY/QMyud1DULeOXwDi68y+z57t15efRoVmdn88lvv/HPRx8lMjKyQq5grJUklFLqMtm7YGGtKgHUqhJAr5Z/V2RPSstk+9EUth9NZvvRZmw/msK7p85iadqLMCAoM4U6p3Yju1dzbO8mGu7Yx/nhdzIjJ5uPgY+nTiXI25tawcGkZGczb8oUug4axJ79+0lLS3NK8nK3Ww20BaWU8nhlVSw3LTOb3cdT2XEshe1HU9h5LIVdx1JtXYk+Ao3kLJX2rCT46J9kHtjBjuOH2GcsrATa+fpyvZ8fC8+do03NmrRq2pTsoCCyAwL48quvCA4OJiMjA39//1J3F5blmljaglJKqctU1N/20g4RBfn50K5BVdo1+LtWYI7FsP/0OXYeS/n7UbkGm5tlQE/rPm0CvHjL+zytzp2g7ar5ZG9eif/p08SdOsU+wACZ7dpB27Z0X72a3UlJ3DtgAC06dybx3DkaNmzI8OHD7UpasYt2F0hOAOlZOcQu2u2yVpQmKKWUx0sqpA5hcdtLw9tLaFarMs1qVebmqDDb9sRzmew6lsKOYynsOp7KruMpTDvvT2bXUdB1FN4iNAn2pk92EtUObWVj5lla7lhHxIkTnDCGj7/6inNffQWAFzBs7VqkVSs6/ve/+AQH8/hTT9GiZUvOnDlDkyZNaNiwYYG47O3mdAZNUEopjxcWGljoJImw0ECnxVCtkh9XNavBVc1q2LZl51g4kHCOncesCWv38VS2HfflSI2ufAkQdi2VbvCmQ4gPzc05asbvJHvrKsy+7cinn8K5cyQBfwJ3DB1qO26tSpU48fnn0KIFvR5+mPYdOlBVokiQEHLOJuIdXB3x8nb6NbiQjkEppTxeWY6/lIXUjCz2nDjLnhOp7D7+d/LKX5G+WiU/mof60lzSaZh4CP+d68navoHV+3YTnJbGG4AFCAQyc9/jhWDB0DNmBAc7DwLgzi4N+PeAtqWKV6eZK6VUKbjbDDZ7GWM4fTaT3cdT2XPC+th9IpW9J85y9vzfFd5rBvtzRfVAmvucp1l6IjX3b8WydQ2b123iVMpplhsLH1euzi3//Awoeqq9PTRBKaWUuogxhmPJGbnJKpU9J86y9+RZ/jyRyrnMnAt3Jigrg5CMsxyrUhMAAfaXclVlncWnlFLqIiJCWGggYaGB9Grx931bxhiOJmewN7eVNenXPaRl5pDmF0ia39/jTq4cg9IEpZRSHkhECA8NJDw0kJgWtagZ7F/oONyYvi1cFqMmKKWUUrbxNncah6t4RZ+UUkpVCNqCUkopddFU+/ikdJ79fiuAy1pR2oJSSilVbKkjV9EEpZRSyi1LHWmCUkopVeR0cldOM9cEpZRSil4ta9q13RlckqBE5FMROSki2/JtqyYiv4jI3tx/qxZ3DKWUUo6zZNcpu7Y7g6taUNOAfhdsGwv8Zoy5Avgt97lSSikn0DGoXMaY5UDiBZtvAT7L/fkzYIBTg1JKKQ+mY1DFq22MOQaQ+2+twnYSkQdEZL2IrD91ynVNT6WUqkjG9G1BoK93gW2uLnXkTgmqRIwxU4wxHYwxHWrWdN3gnVJKVSQD2oXz2q1tCQ8NRLAus+Hq9bDcqZLECRGpa4w5JiJ1gZOuDkgppTzJgHbhbrUGlju1oOYC/8j9+R/AHBfGopRSysVcNc18JrAKaCEiR0TkXmAicK2I7AWuzX2ulFLKQ7mki88YM7SIl/o4NRCllFJuy526+JRSSikbMca4OobLJiKngIMOPGQN4LQDj1ceefo18PTzB70Gnn7+4Phr0NAYY/e063KdoBxNRNYbYzq4Og5X8vRr4OnnD3oNPP38wX2ugXbxKaWUckuaoJRSSrklTVAFTXF1AG7A06+Bp58/6DXw9PMHN7kGOgallFLKLWkLSimllFvSBKWUUsoteWSCEpF+IrJbRP4UkYsWRhQRfxGZlfv6GhFp5Pwoy04Jzr+niGwUkWwRGeSKGMtaCa7BkyKyQ0S2iMhvItLQFXGWpRJcgwdFZKuIxInIHyLS2hVxlpVLnX++/QaJiBERl0+7drQS/A6MEJFTub8DcSJyn1MDNMZ41APwBvYBTQA/YDPQ+oJ9HgY+yP35DmCWq+N28vk3AiKBz4FBro7ZRdegFxCU+/NDFel3wI5rUCXfz/2Bha6O25nnn7tfMLAcWA10cHXcLvgdGAG866oYPbEF1Qn40xjzlzEmE/gK62q++eVf3fdboI+IiBNjLEuXPH9jzAFjzBbA4ooAnaAk12CJMSYt9+lqoJ6TYyxrJbkGKfmeVgIq0oyqkvwdAHgZ+A+Q4czgnKSk18BlPDFBhQOH8z0/krut0H2MMdlAMlDdKdGVvZKcf0Vn7zW4F1hQphE5X4mugYj8U0T2Yf0j/aiTYnOGS56/iLQD6htj5jkzMCcq6f+D23K7ur8VkfrOCc3KExNUYS2hC78ZlmSf8qoin1tJlfgaiMidQAcgtkwjcr4SXQNjzHvGmKbAM8DzZR6V8xR7/iLiBUwC/uW0iJyvJL8DPwKNjDGRwK/83bPkFJ6YoI4A+b8F1AOOFrWPiPgAIUCiU6IreyU5/4quRNdARK4BngP6G2POOyk2Z7H39+ArYECZRuRclzr/YCACWCoiB4AuwNwKNlHikr8DxpiEfL/7HwFXOik2wDMT1DrgChFpLCJ+WCdBzL1gn/yr+w4CFpvcEcMKoCTnX9Fd8hrkdu98iDU5nXRBjGWtJNfginxPbwT2OjG+slbs+Rtjko0xNYwxjYwxjbCOQ/Y3xqx3TbhloiS/A3XzPe0P7HRifK5ZsNCVjDHZIjIaWIR1FsunxpjtIvISsN4YMxf4BJguIn9ibTnd4bqIHask5y8iHYEfgKrAzSLyojGmjQvDdqgS/g7EApWBb3LnxxwyxvR3WdAOVsJrMDq3FZkFnOHvL23lXgnPv0Ir4TV4VET6A9lY/xaOcGaMWupIKaWUW/LELj6llFLlgCYopZRSbkkTlFJKKbekCUoppZRb0gSllFLKLWmCUqqERCRURB7O9zxMRL4to88aICIvOPB4b4hIb0cdTyln0GnmSpVQ7rIr84wxEU74rJVYbww97aDjNQQ+MsZc54jjKeUM2oJSquQmAk1z18WJFZFGIrINbOvmzBaRH0Vkv4iMzl1TapOIrBaRarn7NRWRhSKyQUR+F5GWF36IiDQHzuclJxEZLCLbRGSziCzP3eadG8O63EKeo/K9/+ncdZw2i8hEAGPMQaC6iNQp86uklIN4XCUJpUphLBBhjIkGW4sqvwigHRAA/Ak8Y4xpJyKTgLuB/wJTgAeNMXtFpDPwPnBh11s3YGO+5y8AfY0x8SISmrvtXiDZGNNRRPyBFSLyM9ASa828zsaYtLzEmGtj7rG/u+wroJQTaYJSynGWGGNSgVQRScZaCRpgKxApIpWBq/i7fBKAfyHHqQucyvd8BTBNRL4Gvs/ddl3uMfNWPA4BrgCuAabmrWVljMlf5PgkEFaK81PKqTRBKeU4+SueW/I9t2D9v+YFJOW1wIqRjjXhAGCMeTC3tXUjECci0ViXSnjEGLMo/xtFpB9FL58SkHtspcoFHYNSquRSsS7DcFlyV6jdLyKDAcQqqpBddwLN8p6ISFNjzBpjzAvAaaxLJCwCHhIR39x9motIJeBnYKSIBOVuz9/F1xzYdrnxK+VsmqCUKiFjTALWsZ5tInK5CxgOB+4Vkc3AdgpfYns50E7+7geMzZ30sC33tc3Ax8AOYGPu9g8BH2PMQqxLJqwXkTjgKYDcRNYMqEjLRagKTqeZK+WGRGQy8KMx5lcHHW8g0N4YM84Rx1PKGbQFpZR7ehUIcuDxfIA3HXg8pcqctqCUUkq5JW1BKaWUckuaoJRSSrklTVBKKaXckiYopZRSbkkTlFJKKbekCUoppZRb0gSllFLKLWmCUkop5ZY0QSmllHJLmqCUUkq5JU1QSiml3JImKKWUUm5JE5RSSim3VK6XfK9Ro4Zp1KiRq8NQSilVjA0bNpw2xtS0933lOkE1atSI9et1gVCllHJnInLwct6nXXxKKaXckiYopZRSbkkTlFJKKbekCUoppZRb0gSllFLKLWmCUkop5ZbK9TRzpZRyhNmb4oldtJujSemEhQYypm8LBrQLd3VYHk8TlFLKo83eFM+z328lPSsHgPikdJ79fiuAJikX0y4+pZRHi12025ac8qRn5RC7aLeLIlJ5NEEppTza0aR0u7Yr53FKghKRT0XkpIhsK2afGBGJE5HtIrLMGXEppVRYaKBd25XzOKsFNQ3oV9SLIhIKvA/0N8a0AQY7KS6llIcb07cFgb7eBbYF+nozpm8LF0Wk8jhlkoQxZrmINCpml2HA98aYQ7n7n3RGXEoplTcRQmfxuR93mcXXHPAVkaVAMDDZGPN5YTuKyAPAAwANGjRwWoBKqYprQLtwTUhuyF0mSfgAVwI3An2BcSLSvLAdjTFTjDEdjDEdata0e3kRpZRS5YS7tKCOAKeNMeeAcyKyHIgC9rg2LKWUUq7iLi2oOUAPEfERkSCgM7DTxTEppZRyIae0oERkJhAD1BCRI8B4wBfAGPOBMWaniCwEtgAW4GNjTJFT0suSljxRSin34KxZfENLsE8sEOuEcIqkJU+UUsp9uMsYlFsoruSJJihVkWnPgXJHmqDy0ZInyhNpz4FyV+4yScItaMkT5Ym0WKo1SXebuJjGY+fTbeJiZm+Kd3VICk1QBWjJE+WJPL3nIK8FGZ+UjuHvFqQmKdfTBJXPgHbhvHZrW8JDAxEgPDSQ125tq90cqkLz9J4DbUG6Lx2DuoCWPFGeZkzfFgXGoMCzeg48vQXpzrQFpZSH8/SeA09vQbozbUEppTy658DTW5DuTBOUUsqj6XIb7ksTlFLK43lyC9Kd6RiUUkopt6QJSimllFvSBKWUUsotaYJSSinlljRBKaWUckuaoJRSSrklTVBKKaXckiYopZRSbkkTlFJKKbeklSQu4MlLX3vyuYOev1LuRhNUPp689LUnnzvo+SvljrSLLx9PXrjMk88d9PyVckeaoPLx5IXLPPncwdpisme7UqrsaRdfPmGhgYX+QfKEhcs8+dwBvEXIMabQ7Z5Ax9+UO9IWVD5j+rYg0Ne7wDZPWbjMk88dKDQ5Fbe9Iskbf4tPSsfw9/jb7E3xrg5NeThNUPl48tLXnnzuYD1fe7ZXJDr+ptyVXV18ItIEmAx0BSzAKuAJY8xfZRCbS3jywmWefO6evOy3p48/Kvdl7xjUl8B7wMDc53cAM4HOjgxKeSZXjoN48rLfnj7+qNyXvQlKjDHT8z3/QkRGOzIg5TquTBDucB+Sp7YgPbn1qNybvQlqiYiMBb4CDDAEmC8i1QCMMYkOjs+jeHKCKG4cxBOThjN5cutRuTd7E9SQ3H9HXbB9JNaE1aTUEbmYq5KEpycIHQdxLU9tPSr3ZtcsPmNM42IexSYnEflURE6KyLZL7NdRRHJEZJA9sTmCK6fbunomlasTRFHjHToOopTnsitBiYi3iPQXkUdF5Mm8RwnfPg3od6njA68Di+yJy1FcmSQ8PUF4+n1YSqmL2Xsf1I/ACKA6EJzvcUnGmOXApcaoHgG+A07aGZdDuDJJhAT62rXd0cb0bYGvd8GqCb7e4rQE4Q73Yc3eFE+3iYtpPHY+3SYu1htVlXIxe8eg6hljIssiEBEJxzp9vTfQsSw+41JcOd22qIo6Tq20c2HRBCcXUXDlOIirxwCVUheztwW1QESuK5NI4L/AM8aYnOJ2EpEHRGS9iKw/deqUQwNwZTdTUlqWXdsdLXbRbrIsBTNSlsV4TDUBV48BKqUuZm8LajXwg4h4AVmAAMYYU8UBsXQAvhJrk6EGcIOIZBtjZuffyRgzBZgC0KFDB4d+x3fldFtX3yzp6jEwV/P081fKHdmboN7EWuZoqzGOraJpjGmc97OITAPmXZicnMFV3UyuvlnS1QnS1Tz9/D2dVnN3T/Z28e0Ftl1OchKRmVhr97UQkSMicq+IPCgiD9p7rIrfKPG0AAAgAElEQVTI1ZMEPH0WnaefvyfTau7uS+zJNbktmybAAuB83nZjzFsOj6wEOnToYNavX++Kj66QPP1bpKefv6fqNnFxoa3n8NBAVozt7YKIKh4R2WCM6WDv++zt4tuf+/DLfagKxNOrCXjy+XtyctbxR/dlV4IyxrwIICKVjDHnyiYkpZQzefoUex1/dN8vKPZWkugqIjuAnbnPo0Tk/TKJTCnlFJ4+xd7Txx/deQzO3kkS/wX6AgkAxpjNQE9HB6WUch5P7+Jy9QQlV3PnLyj2jkFhjDksBcsbFHtjrVLKvWkXl2ePP7rzFxR7W1CHReQqwIiIn4g8RW53n1KqfPL0Li5P5+pC0cWxN0E9CPwTCAeOANHAw44OSinlPJ7exeXp3PkLir1dfC2MMcPzbxCRbsAKx4WklHI2T+7i8nTuvKKyvQnqHaB9CbYppZQqJ9z1C0qJEpSIdAWuAmpesEBhFcC78HcppZRSl6+kLSg/oHLu/vkXKEwBnL40u1JKqYqvRAnKGLMMWCYi04wxB8s4JqWUUsruUkeanMqQu5YbUUopV7D7Rl1VNjy9HhpoglZKFaQJyk0UV27EE/5Ia4JWynXc9cuhXQlKRAKAe4E2QEDedmPMSAfH5XHcudyIM3h6glbKVdz5y6G9lSSmA3WwFoxdBtQDUh0dlCdy53IjzuDpCVopV3HnYrH2JqhmxphxwDljzGfAjUBbx4fledy53IgzeHqCVspV3PnLob0JKiv33yQRiQBCgEYOjchDeXo9NE9P0Eq5SmiQr13bncneSRJTRKQqMA6Yi/Xm3RccHpWHctdyI87gzvXAlKrIjLFvuzPZex/Ux7k/LgOaOD4c5ck8OUEr5SrJ6Vl2bXcme2fx+QO3Ye3Ws73XGPOSY8NSSinlDCGBviQVkoxCAstfF98cIBnYAJx3fDhKKaWcqeAC6Zfe7kz2Jqh6xph+ZRKJUkopp0tKK7wrr6jtzmTvLL6VIqLTypVSqoJw51s87E1Q3YENIrJbRLaIyFYR2VIWgSmllCp77nyLh71dfNeXSRRKKaVcwp1v8dDlNpRSysO56y0e9nbxKaWUUk6hCUoppZRb0gSllFLKLWmCUkop5ZackqBE5FMROSki24p4fXjutPUtIrJSRKKcEZdSSin35awW1DSguAoU+4GrjTGRwMvAFGcEpZRSyn3Zex/UZTHGLBeRRsW8vjLf09VYV+pVSinlwdxxDOpeYIGrg1BKKeVaTmlBlZSI9MKaoLoXs88DwAMADRo0cFJkSimlnM1tWlAiEgl8DNxijEkoaj9jzBRjTAdjTIeaNWs6L0CllFJO5RYJSkQaAN8Ddxlj9rg6HqWUUq7nlC4+EZkJxAA1ROQIMB7wBTDGfAC8AFQH3hfrKlnZxpgOzohNKaWUe3LWLL6hl3j9/9u7/yir6nr/489XgI0/uJCAK2G4gvJLnIZBR6CwgvwB2v2CXOGGP5YpKFqZa1k3pVUX++YyMSxvrfTrj1up/UDMDMkUvAmkckUZERUhlETjoDdhDKMEHeT9/eOcGQ/DmZkDntmzZ+b1WIu1zt7ncz7n/fnMjxd7nz37cxFwURK1mJlZ+5CKU3xmZmaNOaDMzCyVHFBmZpZKDigzM0slB5SZmaVSqu4kYWZZdXV1ZDIZdu3a1dalmBWtrKyM8vJyunXrVpL+HFBmKZTJZOjevTsDBgwg97eBZqkWEdTW1pLJZBg4cGBJ+vQpPrMU2rVrF7169XI4WbshiV69epX0qN8BZZZSDidrb0r9PeuAMjOzVHJAmZlZKjmgzKxJv/nNb5DEH//4x5L1+aMf/YhBgwYhiW3btjXbNiK4/PLLGTRoEJWVlaxevbpgu3HjxjF06FCqqqqoqqrijTfeKNiurq6OE044oWH7kksuYcWKFXu1+da3vsUhhxyyVx+HHXYYkP1scNSoUYwYMYLjjjuOq6++uqHNpk2bGD16NIMHD+Zzn/sc7777bpPj2rBhA+PGjaOqqopjjz2WWbNmAbB8+XJ69OjRMI5TTjml4TX33HMPw4cP57jjjuOcc87Zr3l49dVXOfnkk6msrGTcuHFkMpmCr//Od77TZM31XnnlFX75y1+22K4kIqLd/jvhhBPCrCNat27dfrX/zepMfOK6R2LAVQ/EJ657JH6zOlOSOqZNmxYnnXRSXH311fv92t27dxfcv3r16ti0aVMcddRRsXXr1mb7+N3vfhcTJ06MPXv2xBNPPBGjRo0q2O7Tn/50rFq1qsWali5dGpdddlnD9ogRI/ap8+qrr47+/fvHlVde2bDv0EMPjYiIPXv2xI4dOyIi4t13341Ro0bFE088ERHZuZo/f35ERFxyySVx8803N1nHaaedFgsXLmzYfu655yIiYtmyZfHZz352n/YvvvhiVFVVxZtvvhkREX/5y18K9tvUPEydOjXuuOOOiIh45JFH4rzzziv4+vpxNqepGusV+t4FauIAfsf7CMqsnVv4zBa+ft/zbNm+kwC2bN/J1+97noXPbPlA/f79739nxYoV/PjHP+buu+9u2L98+XI+9alPMWXKFIYPH86ll17Knj17gOyRxpw5cxg9ejRPPPFEwX5HjhzJgAEDiqrh/vvv5/zzz0cSY8aMYfv27bz++usHPKbFixdz+umnA7B+/XqGDBlCly5d9mk3Y8YMFixYwJtvvrnXfkkNR1N1dXXU1dUhiYhg6dKlTJ06FYDPf/7zLFy4sMk6Xn/9dcrLyxu2P/axjzVb9+23386XvvQlPvKRjwBwxBFHFDHa961bt46TTz4ZgPHjx3P//ffv02b27Nns3LmTqqoqzj33XFatWkVlZSW7du3iH//4B8cddxxr165l9uzZPPbYY1RVVXHjjTfuVx37ywFl1s7NW7KBnXXv7bVvZ917zFuy4QP1u3DhQiZOnMiQIUM4/PDD9zq99tRTT/G9732P559/nj/96U/cd999APzjH/+goqKCJ598kpNOOukDvT/Ali1b6N+/f8N2eXk5W7YUDt4LL7yQqqoqrrnmGrL/ad/XsmXLGDduHAAPPfQQEydOLNjusMMOY8aMGfzgBz/Y57n33nuPqqoqjjjiCE499VRGjx5NbW0tPXv2pGvXri3WCXDFFVfwmc98htNPP50bb7yR7du3NzxX/8u/qqqKa6+9FoAXX3yRF198kbFjxzJmzBgWL17cZN+F5mHEiBH8+te/BrKnbXfs2EFt7d4Ll8+dO5eDDz6YNWvW8Itf/IITTzyRSZMm8c1vfpMrr7yS8847j4qKCubOncsnP/lJ1qxZwxVXXNFkHaXggEqRhc9sYezcpQyc/TvGzl36gf8HbJ3Da9t37tf+Ys2fP5/p06cDMH36dObPn9/w3KhRozj66KPp0qULZ599No8//jgAXbp04ayzzvpA75uvUNAUupT5F7/4Bc8//zyPPfYYjz32GD/72c/2afPaa69x+OGHc8ghhwCwZMmSJgMK4PLLL+fOO+/kb3/72177u3Tpwpo1a8hkMjz11FOsXbu26DrrXXjhhaxfv55p06axfPlyxowZwzvvvAPQ8Mt/zZo1fOMb3wBg9+7dvPTSSyxfvpz58+dz0UUX7RVqLc3DDTfcwB/+8AdGjhzJH/7wB/r169cQps2ZM2cO//3f/01NTQ1XXnlli+1LzQGVEq11msY6vr49D96v/cWora1l6dKlXHTRRQwYMIB58+axYMGChl/EjX/51m+XlZUVPGV2oMrLy9m8eXPDdiaToW/fvvu069evHwDdu3fnnHPO4amnntqnzUMPPcSECRMAePvtt9m+fXvBvur17NmTc845h5tvvrnJ58eNG8fixYvp3bs327dvZ/fu3c3Wma9v377MmDGD+++/n65du7J27dom25aXlzN58mS6devGwIEDGTp0KC+99NI+7Zqah759+3LffffxzDPPNByV9ejRo9n6AN58803+/ve/s2PHjja57ZYDKiVa6zSNdXxfmzCUg7vtHQoHd+vC1yYMPeA+7733Xs4//3xeffVVXnnlFTZv3szAgQMbjpSeeuopNm3axJ49e1iwYEFJTucVMmnSJO666y4igpUrV9KjRw+OPPLIvdrs3r274WrAuro6HnjgASoqKvbpK//zp2XLljF+/PgW3/8rX/kKt956a0PwbN26teHIZefOnfz+979n2LBhSGL8+PHce++9ANx5551Mnjy5yX4XL15MXV0dAP/7v/9LbW1tQ7gUcuaZZ7Js2TIAtm3bxosvvsjRRx9d9Dxs27at4XPC6667jhkzZhR8n27dujXUBTBr1iyuueYazj33XK666iogG347duxostZSckClRGudprGO78yR/bjuXz9Gv54HI6Bfz4O57l8/xpkjm/6F15L58+czZcqUvfadddZZDZcXf/zjH2f27NlUVFQwcODAfdo254c//CHl5eVkMhkqKyu56KKLmmx7xhlncPTRRzNo0CAuvvjivY5mqqqqAHjnnXeYMGEClZWVVFVV0a9fPy6++OK9+nnvvfd46aWXGDZsGND850/5evfuzZQpUxpOv73++uuMHz+eyspKTjzxRE499VT+5V/+BYDrr7+e73//+wwaNIja2lpmzpzZZL8PP/wwFRUVjBgxggkTJjBv3jw++tGPNtl+woQJ9OrVi+HDhzN+/HjmzZtHr169ip6H5cuXM3ToUIYMGcJf/vKXhlOH+a+HbCBVVlZy7rnnctddd9G1a1fOOeccZs+ezapVq1i6dCmVlZV07dqVESNGtPpFEmrqw8T2oLq6Ompqatq6jJIYO3cpWwqEUb+eB7Ni9mfaoCJrS+vXr+fYY49t6zIKWr58OTfccAMPPPBAW5dStMcff5yf//zn3HLLLQAcf/zxPPnkkyW767a9r9D3rqSnI6J6f/vyEVRKtMZpGjPLOumkkxrCCWD16tUOp3bAy22kRP3pmHlLNvDa9p307XkwX5sw9AOdpjFrDePGjWu4VLs5U6ZMYdOmTXvtu/766xsuVMj305/+dJ9LuseOHctNN930gWpta9deey2/+tWv9to3bdq0vU6xWdN8is8shdavX9/w4btZexER/PGPf/QpPrOOrKysjNra2ib/4NQsbSK3YGFZWVnJ+vQpPrMUqr/KbevWrW1dilnR6pd8LxUHlFkK1f9Bplln5lN8ZmaWSg4oMzNLJQeUmZmlUru+zFzSVuDVVuq+N9D8cp8dV2ceO3Tu8XfmsYPH31rjPyoi+uzvi9p1QLUmSTUHct1+R9CZxw6de/ydeezg8adt/D7FZ2ZmqeSAMjOzVHJANe22ti6gDXXmsUPnHn9nHjt4/Kkavz+DMjOzVPIRlJmZpZIDyszMUqlTB5SkiZI2SNooaXaB5z8saUHu+SclDUi+ytZTxPg/JWm1pN2SprZFja2liLF/RdI6Sc9JekTSUW1RZ2spYvyXSnpe0hpJj0sa3hZ1tpaWxp/XbqqkkJSaS68/qCK+9hdI2pr72q+RdFFb1Alkb5HeGf8BXYA/AUcDBwHPAsMbtfkicEvu8XRgQVvXnfD4BwCVwF3A1LauOeGxjwcOyT3+Qif82v9T3uNJwOK2rjvJ8efadQceBVYC1W1dd4Jf+wuAH7V1rRHRqY+gRgEbI+LliHgXuBuY3KjNZODO3ON7gZPVcVaQa3H8EfFKRDwH7GmLAltRMWNfFhFv5zZXAqVbQ6DtFTP+v+VtHgp0pKupivnZB7gG+C6wK8niWlmxY0+FzhxQ/YDNeduZ3L6CbSJiN/AW0CuR6lpfMePvqPZ37DOBh1q1omQVNX5JX5L0J7K/pC9PqLYktDh+SSOB/hHxQJKFJaDY7/2zcqe375XUP5nS9tWZA6rQkVDj/yUW06a96shja0nRY5d0HlANzGvVipJV1Pgj4qaIOAa4Cvhmq1eVnGbHL+lDwI3AVxOrKDnFfO1/CwyIiErg97x/FilxnTmgMkD+/wzKgdeaaiOpK9ADeDOR6lpfMePvqIoau6RTgG8AkyLinYRqS8L+fu3vBs5s1YqS1dL4uwMVwHJJrwBjgEUd5EKJFr/2EVGb9/1+O3BCQrXtozMH1CpgsKSBkg4iexHEokZtFgGfzz2eCiyN3KeIHUAx4++oWhx77hTPrWTD6Y02qLE1FTP+wXmbnwVeSrC+1tbs+CPirYjoHREDImIA2c8gJ0VETduUW1LFfO2PzNucBKxPsL69dNol3yNit6TLgCVkr2z5SUS8IOnbQE1ELAJ+DPxM0kayR07T267i0ipm/JJOBH4DfAT4P5L+b0Qc14Zll0SRX/t5wGHAr3LXxfw5Iia1WdElVOT4L8sdQdYBf+X9/6i1e0WOv0MqcuyXS5oE7Cb7e++CtqrXtzoyM7NU6syn+MzMLMUcUGZmlkoOKDMzSyUHlJmZpZIDyszMUskBZWZmqeSAMiuSpJ6Svpi33VfSva30XmdKmlPC/m6Q9JlS9WeWBP8dlFmRcuuBPRARFQm81/+QvXvBthL1dxRwe0ScVor+zJLgIyiz4s0Fjskt4jZP0gBJa6FhkbeFkn4raZOky3KLHj4jaaWkw3PtjpG0WNLTkh6TNKzxm0gaArxTH06SpklaK+lZSY/m9nXJ1bAqd9fpS/Jef2VuscFnJc0FiIhXgV6SPtrqs2RWIp32VkdmB2A2UBERVdBwRJWvAhgJlAEbgasiYqSkG4Hzgf8EbgMujYiXJI0GbgYan3obC6zO254DTIiILZJ65vbNBN6KiBMlfRhYIelhYBjZG7uOjoi364MxZ3Wu718f8AyYJcgBZVY6yyJiB7BD0ltkly0AeB6olHQY8Anev78fwIcL9HMksDVvewVwh6R7gPty+07L9Tk1t90DGAycAvy0frHFiMi/+/4bQN8PMD6zRDmgzEonf0mOPXnbe8j+rH0I2F5/BNaMnWQDB4CIuDR3tPVZYI2kKrLr+nw5Ipbkv1DSRJpe16ss17dZu+DPoMyKt4PsWkEHJLeM+iZJ0wCUNaJA0/XAoPoNScdExJMRMQfYRnY9nyXAFyR1y7UZIulQ4GFghqRDcvvzT/ENAdYeaP1mSXNAmRUpImrJftazVtKBrrB7LjBT0rPAC8DkAm0eBUbq/fOA83IXPazNPfcs8F/AOmB1bv+tQNeIWEx2fZ8aSWuAfwfIBdkgoCOsaWSdhC8zN0shST8AfhsRvy9Rf1OA4yPiP0rRn1kSfARllk7fAQ4pYX9dge+VsD+zVucjKDMzSyUfQZmZWSo5oMzMLJUcUGZmlkoOKDMzSyUHlJmZpZIDyszMUskBZWZmqeSAMjOzVHJAmZlZKiUWUJJ+IumN+hVICzwvST+UtDG3QujxSdVmZmbpk+QR1B3AxGaeP53sgmuDgVnA/0ugJjMzS6nEAioiHgXebKbJZOCuyFoJ9JR0ZDLVmZlZ2qRpRd1+wOa87Uxu3+v5jSTNInuExaGHHnrCsGHDEivQzMz239NPP70tIvrs7+vSFFAqsG+fW61HxG3AbQDV1dVRU+P118zM0kzSqwfyujRdxZchu5R1vXLgtTaqxczM2liaAmoRcH7uar4xwFsR8XpLLzIzs44psVN8kuYD44DekjLA1UA3gIi4BXgQOAPYCLwNXJhUbWZmlj6JBVREnN3C8wF8KaFyzMzsANTV1ZHJZNi1a9c+z5WVlVFeXk63bt1K8l5pukjCzMxSLpPJ0L17dwYMGID0/rVtEUFtbS2ZTIaBAweW5L3S9BmUmZml3K5du+jVq9de4QQgiV69ehU8sjpQDigzM9svjcOppf0HygFlZmap5IAyM7NUckCZmdl+yV50Xfz+A+WAMjOzopWVlVFbW7tPGNVfxVdWVlay9/Jl5mZmVrTy8nIymQxbt27d57n6v4MqFQeUmZkVrVu3biX7O6eW+BSfmZmlkgPKzMxSyQFlZmap5IAyM7NUckCZmVkqOaDMzCyVHFBmZpZKDigzM0ulxAJK0kRJGyRtlDS7wPP/LGmZpGckPSfpjKRqMzOz9EkkoCR1AW4CTgeGA2dLGt6o2TeBeyJiJDAduDmJ2szMLJ2SOoIaBWyMiJcj4l3gbmByozYB/FPucQ/gtYRqMzOzFErqXnz9gM152xlgdKM23wIelvRl4FDglGRKMzOzNErqCKrQOsCNFw45G7gjIsqBM4CfSdqnPkmzJNVIqil0N10zM+sYkgqoDNA/b7ucfU/hzQTuAYiIJ4AyoHfjjiLitoiojojqPn36tFK5ZmbW1pIKqFXAYEkDJR1E9iKIRY3a/Bk4GUDSsWQDyodIZmadVCIBFRG7gcuAJcB6slfrvSDp25Im5Zp9FbhY0rPAfOCCKPX6wWZm1m4ktmBhRDwIPNho35y8x+uAsUnVY2Zm6eY7SZiZWSo5oMzMLJUcUGZmlkoOKDMzSyUHlJmZpZIDyszMUskBZWZmqeSAMjOzVHJAmZlZKjmgzMwslRxQZmaWSg4oMzNLJQeUmZmlkgPKzMxSyQFlZmap5IAyM7NUckCZmVkqOaDMzCyVEgsoSRMlbZC0UdLsJtr8m6R1kl6Q9MukajMzs/TpmsSbSOoC3AScCmSAVZIWRcS6vDaDga8DYyPir5KOSKI2MzNLp6SOoEYBGyPi5Yh4F7gbmNyozcXATRHxV4CIeCOh2szMLIWSCqh+wOa87UxuX74hwBBJKyStlDSxUEeSZkmqkVSzdevWVirXzMzaWlIBpQL7otF2V2AwMA44G/gvST33eVHEbRFRHRHVffr0KXmhZmaWDkkFVAbon7ddDrxWoM39EVEXEZuADWQDy8zMOqGkAmoVMFjSQEkHAdOBRY3aLATGA0jqTfaU38sJ1WdmZimTSEBFxG7gMmAJsB64JyJekPRtSZNyzZYAtZLWAcuAr0VEbRL1mZlZ+iii8UdB7Ud1dXXU1NS0dRlmZtYMSU9HRPX+vs53kjAzs1RyQJmZWSo5oMzMLJUcUGZmlkoOKDMzSyUHlJmZpZIDyszMUskBZWZmqeSAMjOzVHJAmZlZKjmgzMwslRxQZmaWSg4oMzNLJQeUmZmlkgPKzMxSyQFlZmap5IAyM7NUSiygJE2UtEHSRkmzm2k3VVJI2u/VF83MrONIJKAkdQFuAk4HhgNnSxpeoF134HLgySTqMjOz9ErqCGoUsDEiXo6Id4G7gckF2l0DfBfYlVBdZmaWUkkFVD9gc952JrevgaSRQP+IeKC5jiTNklQjqWbr1q2lr9TMzFIhqYBSgX3R8KT0IeBG4KstdRQRt0VEdURU9+nTp4QlmplZmiQVUBmgf952OfBa3nZ3oAJYLukVYAywyBdKmJl1XkkF1CpgsKSBkg4CpgOL6p+MiLciondEDIiIAcBKYFJE1CRUn5mZpUwiARURu4HLgCXAeuCeiHhB0rclTUqiBjMza1+6JvVGEfEg8GCjfXOaaDsuiZrMzCy9fCcJMzNLJQeUmZmlkgPKzMxSyQFlZmap5IAyM7NUckCZmVkqOaDMzCyVHFBmZpZKDigzM0slB5SZmaWSA8rMzFLJAWVmZqnkgDIzs1RyQJmZWSo5oMzMLJUcUGZmlkoOKDMzS6XEAkrSREkbJG2UNLvA81+RtE7Sc5IekXRUUrWZmVn6JBJQkroANwGnA8OBsyUNb9TsGaA6IiqBe4HvJlGbmZmlU1JHUKOAjRHxckS8C9wNTM5vEBHLIuLt3OZKoDyh2szMLIWSCqh+wOa87UxuX1NmAg8VekLSLEk1kmq2bt1awhLNzCxNkgooFdgXBRtK5wHVwLxCz0fEbRFRHRHVffr0KWGJZmaWJl0Tep8M0D9vuxx4rXEjSacA3wA+HRHvJFSbmZmlUFJHUKuAwZIGSjoImA4sym8gaSRwKzApIt5IqC4zM0upRAIqInYDlwFLgPXAPRHxgqRvS5qUazYPOAz4laQ1khY10Z2ZmXUCSZ3iIyIeBB5stG9O3uNTkqrFzMzSz3eSMDOzVHJAmZlZKjmgzMwslRxQZmaWSg4oMzNLJQeUmZmlkgPKzMxSyQFlZmap5IAyM7NUckCZmVkqOaDMzCyVHFBmZpZKDigzM0slB5SZmaWSA8rMzFLJAWVmZqnkgDIzs1RyQJmZWSolFlCSJkraIGmjpNkFnv+wpAW555+UNCCp2szMLH0SCShJXYCbgNOB4cDZkoY3ajYT+GtEDAJuBK5PojYzM0unpI6gRgEbI+LliHgXuBuY3KjNZODO3ON7gZMlKaH6zMwsZbom9D79gM152xlgdFNtImK3pLeAXsC2/EaSZgGzcpvvSFrbKhV3HL1pNIe2F89PyzxHzfP8tGzogbwoqYAqdCQUB9CGiLgNuA1AUk1EVH/w8jouz1HzPD8t8xw1z/PTMkk1B/K6pE7xZYD+edvlwGtNtZHUFegBvJlIdWZmljpJBdQqYLCkgZIOAqYDixq1WQR8Pvd4KrA0IvY5gjIzs84hkVN8uc+ULgOWAF2An0TEC5K+DdRExCLgx8DPJG0ke+Q0vYiub2u1ojsOz1HzPD8t8xw1z/PTsgOaI/kgxczM0sh3kjAzs1RyQJmZWSq1i4DybZJaVsQcfUXSOknPSXpE0lFtUWdbaWl+8tpNlRSSOtVlw8XMj6R/y30PvSDpl0nX2NaK+Bn7Z0nLJD2T+zk7oy3qbCuSfiLpjab+NlVZP8zN33OSjm+x04hI9T+yF1X8CTgaOAh4FhjeqM0XgVtyj6cDC9q67hTO0XjgkNzjL3SmOSpmfnLtugOPAiuB6rauO03zAwwGngE+kts+oq3rTuEc3QZ8Ifd4OPBKW9ed8Bx9CjgeWNvE82cAD5H9m9cxwJMt9dkejqB8m6SWtThHEbEsIt7Oba4k+7donUUx30MA1wDfBXYlWVwKFDM/FwM3RcRfASLijYRrbGvFzFEA/5R73IN9/9azQ4uIR2n+b1cnA3dF1kqgp6Qjm+uzPQRUodsk9WuqTUTsBupvk9RZFDNH+WaS/ZGAXJcAAAROSURBVJ9MZ9Hi/EgaCfSPiAeSLCwlivn+GQIMkbRC0kpJExOrLh2KmaNvAedJygAPAl9OprR2Y39/TyV2q6MPomS3SerAih6/pPOAauDTrVpRujQ7P5I+RPYO+hckVVDKFPP905Xsab5xZI++H5NUERHbW7m2tChmjs4G7oiI70n6ONm/66yIiD2tX167sN+/p9vDEZRvk9SyYuYISacA3wAmRcQ7CdWWBi3NT3egAlgu6RWy58cXdaILJYr9Gbs/IuoiYhOwgWxgdRbFzNFM4B6AiHgCKCN7I1nLKur3VL72EFC+TVLLWpyj3CmsW8mGU2f7/KDZ+YmItyKid0QMiIgBZD+jmxQRB3SDy3aomJ+xhWQvtEFSb7Kn/F5OtMq2Vcwc/Rk4GUDSsWQDamuiVabbIuD83NV8Y4C3IuL15l6Q+lN80Xq3SeowipyjecBhwK9y14/8OSImtVnRCSpyfjqtIudnCXCapHXAe8DXIqK27apOVpFz9FXgdklXkD11dUFn+o+ypPlkTwH3zn0OdzXQDSAibiH7udwZwEbgbeDCFvvsRPNnZmbtSHs4xWdmZp2QA8rMzFLJAWVmZqnkgDIzs1RyQJmZWSo5oMyKJKmnpC/mbfeVdG8rvdeZkuaUsL8bJH2mVP2ZJcGXmZsVKbeMywMRUZHAe/0P2T8W3lai/o4Cbo+I00rRn1kSfARlVry5wDGS1kiaJ2lA/do3ki6QtFDSbyVtknRZbg2uZ3I3Vz081+4YSYslPS3pMUnDGr+JpCHAO/XhJGmapLWSnpX0aG5fl1wNq3Jr61yS9/orJT2faz8XICJeBXpJ+mirz5JZiaT+ThJmKTIbqIiIKmg4ospXAYwke4ubjcBVETFS0o3A+cB/kl0z6NKIeEnSaOBmoPGpt7HA6rztOcCEiNgiqWdu30yyt4o5UdKHgRWSHgaGAWcCoyPi7fpgzFmd6/vXBzwDZglyQJmVzrKI2AHskPQW8Nvc/ueBSkmHAZ/g/dtNAXy4QD9Hsvc93FYAd0i6B7gvt++0XJ9Tc9s9yN689RTgp/Vrf0VE/k2T3wD6foDxmSXKAWVWOvl3iN+Tt72H7M/ah4Dt9UdgzdhJNnAAiIhLc0dbnwXWSKoiu3TBlyNiSf4Lc+s0NfXBclmub7N2wZ9BmRVvB9mlOQ5IRPwN2CRpGkDurs4jCjRdDwyq35B0TEQ8GRFzgG1klyxYAnxBUrdcmyGSDgUeBmZIOiS3P/8U3xBg7YHWb5Y0B5RZkXJ3716Ru2Bh3gF2cy4wU9KzwAsUXnr+UWCk3j8POC930cPa3HPPAv8FrANW5/bfCnSNiMVklzWokbQG+HeAXJANAjrLEiLWAfgyc7MUkvQD4LcR8fsS9TcFOD4i/qMU/ZklwUdQZun0HeCQEvbXFfheCfsza3U+gjIzs1TyEZSZmaWSA8rMzFLJAWVmZqnkgDIzs1RyQJmZWSr9f/t3+zyxoemAAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 32.0, sf = 6.59 --> Field = 1025.11968 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 10 $$$ 10 $$$ 10 $$$ 10 $$$ 10 $$$ 10 $$$ 10 $$$ 10 $$$ 10 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 309.605393147E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 166.18558598k\n",
      "TOTAL Na num = 166.18558598k\n",
      "\n",
      "init mol temp/init Na temp = 1.02718744017\n",
      "init mol temp = 1.6095e-06 uk\n",
      "init na temp = 1.5669e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.59514533273\n",
      "\n",
      "init na num = 251.0719486 at 1.5669 uk\n",
      "init Na density = 3.54578331674e+11 cm^-3 (7.71077177281 %)\n",
      "\n",
      "init overlap density = 2.83194803485e+11 cm^-3 (9.31440977442 %) (34.2893311315 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.798680511997\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 36.1516108485 at 1.6095 uk\n",
      "init molecule density = 3.45586384543e+11 cm^-3 (8.89755029882 %)\n",
      "two-body rate coefficient = 2.52373976604e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0963278183024\n",
      "loss rate coefficient = 8.91903926032e-12 (13.3995789201 %) (35.6166915257 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 3.15706876582\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0587363075878\n",
      "\n",
      "loss rate from EXP fit = 3.10973080665\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.52373976604e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0972932852042\n",
      "loss rate coefficient = 9.46663441471e-12 (11.7290383757 %) (35.0224262611 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.52373976604e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.100315995603\n",
      "loss rate coefficient = 9.29029372313e-12 (11.9809639636 %) (35.1075988569 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 34.0, sf = 6.59 --> Field = 1042.63136 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 11 $$$ 11 $$$ 11 $$$ 11 $$$ 11 $$$ 11 $$$ 11 $$$ 11 $$$ 11 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 298.345854467E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 163.722611628k\n",
      "TOTAL Na num = 163.722611628k\n",
      "\n",
      "init mol temp/init Na temp = 1.33377673551\n",
      "init mol temp = 2.05094444444e-06 uk\n",
      "init na temp = 1.5376969697e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.33516601339\n",
      "\n",
      "init na num = 247.350905247 at 1.5376969697 uk\n",
      "init Na density = 3.59321568076e+11 cm^-3 (6.98528527297 %)\n",
      "\n",
      "init overlap density = 2.55655681083e+11 cm^-3 (10.8064038847 %) (34.7243195026 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.711495506521\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 38.2747462323 at 2.05094444444 uk\n",
      "init molecule density = 2.54358887682e+11 cm^-3 (16.3266806575 %)\n",
      "two-body rate coefficient = 3.21593665883e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.11313392629\n",
      "loss rate coefficient = 1.19722184555e-11 (15.645165953 %) (36.5208326534 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 4.12513979653\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.084721100056\n",
      "\n",
      "loss rate from EXP fit = 3.53369979757\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.21593665883e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.107141422942\n",
      "loss rate coefficient = 1.33228902672e-11 (13.7259953555 %) (35.7407743131 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.21593665883e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.114655438149\n",
      "loss rate coefficient = 1.27673248524e-11 (14.320223405 %) (35.9731677556 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 36.0, sf = 6.59 --> Field = 1060.14304 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 12 $$$ 12 $$$ 12 $$$ 12 $$$ 12 $$$ 12 $$$ 12 $$$ 12 $$$ 12 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 409.316618955E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 210.096205696k\n",
      "TOTAL Na num = 210.096205696k\n",
      "\n",
      "init mol temp/init Na temp = 1.14739009228\n",
      "init mol temp = 1.627625e-06 uk\n",
      "init na temp = 1.41854545455e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.66037623046\n",
      "\n",
      "init na num = 317.411786626 at 1.41854545455 uk\n",
      "init Na density = 5.20396161873e+11 cm^-3 (7.65266464622 %)\n",
      "\n",
      "init overlap density = 3.96790898168e+11 cm^-3 (9.78621844043 %) (34.4204891215 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.762478525475\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 34.9261755811 at 1.627625 uk\n",
      "init molecule density = 3.28310631874e+11 cm^-3 (9.58862153172 %)\n",
      "two-body rate coefficient = 2.5521602589e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.120895690015\n",
      "loss rate coefficient = 1.23519295223e-11 (15.55402681 %) (36.4818824899 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 5.51164788049\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0909352224235\n",
      "\n",
      "loss rate from EXP fit = 5.40127213665\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.5521602589e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.120406308564\n",
      "loss rate coefficient = 1.25769963874e-11 (13.8731807559 %) (35.7975577978 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.5521602589e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.123876536239\n",
      "loss rate coefficient = 1.29024844058e-11 (14.1754123457 %) (35.9157669439 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 0.0 --> Field = 967.5932 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 13 $$$ 13 $$$ 13 $$$ 13 $$$ 13 $$$ 13 $$$ 13 $$$ 13 $$$ 13 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 281.377119654E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 146.84458588k\n",
      "TOTAL Na num = 146.84458588k\n",
      "\n",
      "init mol temp/init Na temp = 1.08614948169\n",
      "init mol temp = 1.61191666667e-06 uk\n",
      "init na temp = 1.48406521739e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.24254444647\n",
      "\n",
      "init na num = 221.851709345 at 1.48406521739 uk\n",
      "init Na density = 3.39906304201e+11 cm^-3 (6.63698128898 %)\n",
      "\n",
      "init overlap density = 2.65321628029e+11 cm^-3 (8.875541391 %) (34.1727264786 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.780572836542\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 46.4797324553 at 1.61191666667 uk\n",
      "init molecule density = 4.43317813672e+11 cm^-3 (8.21126833016 %)\n",
      "two-body rate coefficient = 2.52752916509e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0616157641211\n",
      "loss rate coefficient = 5.80527927076e-11 (10.8046406171 %) (34.7237708042 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 17.4439637229\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0471063870823\n",
      "\n",
      "loss rate from EXP fit = 16.0672682115\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.52752916509e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0604708280868\n",
      "loss rate coefficient = 6.03683657424e-11 (8.74774450693 %) (34.1397573799 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.52752916509e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0631794901019\n",
      "loss rate coefficient = 6.34917553309e-11 (8.93713058866 %) (34.1887745197 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.558\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 28.5, sf = 6.59 --> Field = 994.47424 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 14 $$$ 14 $$$ 14 $$$ 14 $$$ 14 $$$ 14 $$$ 14 $$$ 14 $$$ 14 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1308.18279511 for Na num 443.819837343E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 262.564023399k\n",
      "TOTAL Na num = 262.564023399k\n",
      "\n",
      "init mol temp/init Na temp = 1.22990591171\n",
      "init mol temp = 1.5196e-06 uk\n",
      "init na temp = 1.23554166667e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.68842010025\n",
      "\n",
      "init na num = 359.693497392 at 1.23554166667 uk\n",
      "init Na density = 7.25474935813e+11 cm^-3 (7.7723679776 %)\n",
      "\n",
      "init overlap density = 5.36256710318e+11 cm^-3 (9.80987778216 %) (34.4272232703 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.739180202989\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 18.9532199469 at 1.5196 uk\n",
      "init molecule density = 1.97494277871e+11 cm^-3 (9.23200770607 %)\n",
      "two-body rate coefficient = 2.38277412145e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.111691001574\n",
      "loss rate coefficient = 1.2590759723e-11 (14.8654801613 %) (36.1936803935 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 7.16715535966\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0780498074645\n",
      "\n",
      "loss rate from EXP fit = 7.08835553973\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.38277412145e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.11161081216\n",
      "loss rate coefficient = 1.32565246362e-11 (13.3321656151 %) (35.5913843505 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.38277412145e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.112963746132\n",
      "loss rate coefficient = 1.27746995653e-11 (13.4456307208 %) (35.6340425082 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 28.0, sf = 6.59 --> Field = 990.09632 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 15 $$$ 15 $$$ 15 $$$ 15 $$$ 15 $$$ 15 $$$ 15 $$$ 15 $$$ 15 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1266.84887278 for Na num 547.169593808E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 312.987621896k\n",
      "TOTAL Na num = 312.987621896k\n",
      "\n",
      "init mol temp/init Na temp = 1.19839858416\n",
      "init mol temp = 1.54988888889e-06 uk\n",
      "init na temp = 1.2933e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.51539990857\n",
      "\n",
      "init na num = 442.759770886 at 1.2933 uk\n",
      "init Na density = 8.33863871239e+11 cm^-3 (7.25274693119 %)\n",
      "\n",
      "init overlap density = 6.23675547365e+11 cm^-3 (9.78388548764 %) (34.4198259036 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.747934487722\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 13.0851479721 at 1.54988888889 uk\n",
      "init molecule density = 1.32371116749e+11 cm^-3 (14.0029011151 %)\n",
      "two-body rate coefficient = 2.43026792285e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.163685286035\n",
      "loss rate coefficient = 1.96360289113e-11 (19.0696917615 %) (38.1136870937 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 12.6318337416\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.130025537202\n",
      "\n",
      "loss rate from EXP fit = 12.4679347831\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.43026792285e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.163651992602\n",
      "loss rate coefficient = 2.01288837054e-11 (17.907198655 %) (37.5455425273 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.43026792285e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.164805095747\n",
      "loss rate coefficient = 1.98108537001e-11 (18.0126403585 %) (37.5959467587 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 29.5, sf = 6.59 --> Field = 1003.23008 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 16 $$$ 16 $$$ 16 $$$ 16 $$$ 16 $$$ 16 $$$ 16 $$$ 16 $$$ 16 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1306.67804279 for Na num 447.582262429E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 262.67689896k\n",
      "TOTAL Na num = 262.67689896k\n",
      "\n",
      "init mol temp/init Na temp = 1.16712737776\n",
      "init mol temp = 1.46369444444e-06 uk\n",
      "init na temp = 1.2541e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.527282333\n",
      "\n",
      "init na num = 360.262524768 at 1.2541 uk\n",
      "init Na density = 7.10553456518e+11 cm^-3 (7.45812593425 %)\n",
      "\n",
      "init overlap density = 5.37743569247e+11 cm^-3 (9.73437922086 %) (34.4057864147 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.756795374527\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 18.1614172058 at 1.46369444444 uk\n",
      "init molecule density = 2.00188691276e+11 cm^-3 (11.867587968 %)\n",
      "two-body rate coefficient = 2.29511269014e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.144297957865\n",
      "loss rate coefficient = 5.93548284745e-12 (17.4062386878 %) (37.3092099254 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 3.35214222962\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0987232961718\n",
      "\n",
      "loss rate from EXP fit = 3.54709681593\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.29511269014e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.144621751527\n",
      "loss rate coefficient = 6.20649179371e-12 (16.116808033 %) (36.7253522947 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.29511269014e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.14583041255\n",
      "loss rate coefficient = 6.00227016757e-12 (16.2253531016 %) (36.7731163117 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 31.34, sf = 6.59 --> Field = 1019.3408256 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 17 $$$ 17 $$$ 17 $$$ 17 $$$ 17 $$$ 17 $$$ 17 $$$ 17 $$$ 17 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1302.69057395 for Na num 457.552376817E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 263.818726115k\n",
      "TOTAL Na num = 263.818726115k\n",
      "\n",
      "init mol temp/init Na temp = 1.27480997183\n",
      "init mol temp = 1.59886666667e-06 uk\n",
      "init na temp = 1.2542e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.63488757909\n",
      "\n",
      "init na num = 362.936084311 at 1.2542 uk\n",
      "init Na density = 7.15740965163e+11 cm^-3 (7.36334376053 %)\n",
      "\n",
      "init overlap density = 5.20340369411e+11 cm^-3 (9.92435582939 %) (34.460017972 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.726995372261\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 20.8234047113 at 1.59886666667 uk\n",
      "init molecule density = 2.0104756115e+11 cm^-3 (10.6626013284 %)\n",
      "two-body rate coefficient = 2.50706641023e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.092618928351\n",
      "loss rate coefficient = 7.8960006855e-12 (13.5748111411 %) (35.6829861071 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 4.5894560992\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0620111444706\n",
      "\n",
      "loss rate from EXP fit = 4.45200533007\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.50706641023e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0925885103242\n",
      "loss rate coefficient = 8.11793722194e-12 (11.8748221102 %) (35.071518361 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.50706641023e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0938198647571\n",
      "loss rate coefficient = 8.03060276467e-12 (11.971079648 %) (35.1042269241 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 33.0, sf = 3.0 --> Field = 1026.98272 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 18 $$$ 18 $$$ 18 $$$ 18 $$$ 18 $$$ 18 $$$ 18 $$$ 18 $$$ 18 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1287.63546364 for Na num 495.195598076E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 278.615907255k\n",
      "TOTAL Na num = 278.615907255k\n",
      "\n",
      "init mol temp/init Na temp = 1.28770972436\n",
      "init mol temp = 1.67144722222e-06 uk\n",
      "init na temp = 1.298e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.79392958505\n",
      "\n",
      "init na num = 387.774083463 at 1.298 uk\n",
      "init Na density = 7.26344514916e+11 cm^-3 (7.517079659 %)\n",
      "\n",
      "init overlap density = 5.25551494882e+11 cm^-3 (9.84709025049 %) (34.4378452636 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.72355677518\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 12.7949708698 at 1.67144722222 uk\n",
      "init molecule density = 1.15575489531e+11 cm^-3 (11.4575674316 %)\n",
      "two-body rate coefficient = 2.62087469497e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.11611871246\n",
      "loss rate coefficient = 1.87921997762e-11 (15.2250037844 %) (36.3428224033 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 10.1099813957\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0892184662653\n",
      "\n",
      "loss rate from EXP fit = 10.0723589671\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.62087469497e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.116027519194\n",
      "loss rate coefficient = 1.89155968325e-11 (13.7550592741 %) (35.7519461797 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.62087469497e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.116984523268\n",
      "loss rate coefficient = 1.90130930135e-11 (13.835880542 %) (35.7831187905 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 33.0, sf = 4.25 --> Field = 1029.38272 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 19 $$$ 19 $$$ 19 $$$ 19 $$$ 19 $$$ 19 $$$ 19 $$$ 19 $$$ 19 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1278.09847486 for Na num 519.041519583E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 295.803630336k\n",
      "TOTAL Na num = 295.803630336k\n",
      "\n",
      "init mol temp/init Na temp = 1.36038088562\n",
      "init mol temp = 1.76416666667e-06 uk\n",
      "init na temp = 1.29681818182e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.12394868388\n",
      "\n",
      "init na num = 414.767753258 at 1.29681818182 uk\n",
      "init Na density = 7.77968956947e+11 cm^-3 (7.4206500547 %)\n",
      "\n",
      "init overlap density = 5.48220556307e+11 cm^-3 (11.6327619953 %) (34.9903008223 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.704681788922\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 12.3550234777 at 1.76416666667 uk\n",
      "init molecule density = 1.02919957672e+11 cm^-3 (19.8539750275 %)\n",
      "two-body rate coefficient = 2.76626130512e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.112209980917\n",
      "loss rate coefficient = 2.82612299949e-11 (16.1626714937 %) (36.7455024433 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 15.8960520716\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0797962078055\n",
      "\n",
      "loss rate from EXP fit = 15.6773024444\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.76626130512e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.111649977881\n",
      "loss rate coefficient = 2.87656197807e-11 (14.7540883662 %) (36.1480721964 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.76626130512e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.112764477888\n",
      "loss rate coefficient = 2.85621610225e-11 (14.8386058187 %) (36.1826508515 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 33.0, sf = 4.5 --> Field = 1029.86272 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 20 $$$ 20 $$$ 20 $$$ 20 $$$ 20 $$$ 20 $$$ 20 $$$ 20 $$$ 20 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1282.20278105 for Na num 508.779269579E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 304.99063513k\n",
      "TOTAL Na num = 304.99063513k\n",
      "\n",
      "init mol temp/init Na temp = 1.32226333875\n",
      "init mol temp = 1.750875e-06 uk\n",
      "init na temp = 1.32415e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.6293084486\n",
      "\n",
      "init na num = 426.280622096 at 1.32415 uk\n",
      "init Na density = 7.74935815876e+11 cm^-3 (7.54858254771 %)\n",
      "\n",
      "init overlap density = 5.53674882734e+11 cm^-3 (9.98519989309 %) (34.4775900681 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.714478375359\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 13.4317333255 at 1.750875 uk\n",
      "init molecule density = 1.1316569373e+11 cm^-3 (13.0241118286 %)\n",
      "two-body rate coefficient = 2.74541961035e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.121109075435\n",
      "loss rate coefficient = 2.90585224183e-11 (15.6964422221 %) (36.5428282763 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 16.2645304264\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0923545718798\n",
      "\n",
      "loss rate from EXP fit = 16.2936639161\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.74541961035e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.119229351319\n",
      "loss rate coefficient = 3.10315298408e-11 (14.1657627202 %) (35.9119594765 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.74541961035e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.121802593287\n",
      "loss rate coefficient = 2.93812686103e-11 (14.3830166724 %) (35.9982106305 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 33.0, sf = 4.0 --> Field = 1028.90272 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 21 $$$ 21 $$$ 21 $$$ 21 $$$ 21 $$$ 21 $$$ 21 $$$ 21 $$$ 21 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1298.53504281 for Na num 467.94270774E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 252.254789029k\n",
      "TOTAL Na num = 252.254789029k\n",
      "\n",
      "init mol temp/init Na temp = 1.27046817566\n",
      "init mol temp = 1.56358333333e-06 uk\n",
      "init na temp = 1.23071428571e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.99129021192\n",
      "\n",
      "init na num = 348.138093687 at 1.23071428571 uk\n",
      "init Na density = 7.06303899784e+11 cm^-3 (7.57605264508 %)\n",
      "\n",
      "init overlap density = 5.14301446145e+11 cm^-3 (9.83380464893 %) (34.4340487581 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.728158865188\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 15.3252226453 at 1.56358333333 uk\n",
      "init molecule density = 1.52999737523e+11 cm^-3 (8.913769321 %)\n",
      "two-body rate coefficient = 2.45174118412e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.122769288047\n",
      "loss rate coefficient = 2.57372129149e-11 (15.7298027562 %) (36.5571702235 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 12.4172530742\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0996613919191\n",
      "\n",
      "loss rate from EXP fit = 13.509063775\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.45174118412e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.122770127176\n",
      "loss rate coefficient = 2.57371963699e-11 (14.2438686318 %) (35.9428406445 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.45174118412e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.124383650136\n",
      "loss rate coefficient = 2.60791345561e-11 (14.3831733822 %) (35.9982732439 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 33.0, sf = 5.0 --> Field = 1030.82272 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 22 $$$ 22 $$$ 22 $$$ 22 $$$ 22 $$$ 22 $$$ 22 $$$ 22 $$$ 22 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1278.780229 for Na num 517.336887648E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 278.55230994k\n",
      "TOTAL Na num = 278.55230994k\n",
      "\n",
      "init mol temp/init Na temp = 1.30508349738\n",
      "init mol temp = 1.66588888889e-06 uk\n",
      "init na temp = 1.27646153846e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.52734841065\n",
      "\n",
      "init na num = 390.370195553 at 1.27646153846 uk\n",
      "init Na density = 7.4979229285e+11 cm^-3 (7.92514250425 %)\n",
      "\n",
      "init overlap density = 5.39076830293e+11 cm^-3 (10.2228055277 %) (34.5471526013 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.718968220177\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 14.4247852424 at 1.66588888889 uk\n",
      "init molecule density = 1.30950074729e+11 cm^-3 (13.455926146 %)\n",
      "two-body rate coefficient = 2.61215907716e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.170046946128\n",
      "loss rate coefficient = 2.69087766907e-11 (19.8410027905 %) (38.5053943199 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 15.2160177072\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.126285531685\n",
      "\n",
      "loss rate from EXP fit = 14.7239557821\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.61215907716e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.170050449028\n",
      "loss rate coefficient = 2.6908791845e-11 (18.6694144454 %) (37.9149975041 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.61215907716e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.171243048828\n",
      "loss rate coefficient = 2.72664576317e-11 (18.7781069682 %) (37.9686357578 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 33.0, sf = 6.0 --> Field = 1032.74272 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 23 $$$ 23 $$$ 23 $$$ 23 $$$ 23 $$$ 23 $$$ 23 $$$ 23 $$$ 23 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1302.54634078 for Na num 457.913011901E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 263.231420232k\n",
      "TOTAL Na num = 263.231420232k\n",
      "\n",
      "init mol temp/init Na temp = 1.30022431338\n",
      "init mol temp = 1.620375e-06 uk\n",
      "init na temp = 1.24622727273e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.4739531625\n",
      "\n",
      "init na num = 362.168225194 at 1.24622727273 uk\n",
      "init Na density = 7.21091519375e+11 cm^-3 (7.1804565118 %)\n",
      "\n",
      "init overlap density = 5.19363769034e+11 cm^-3 (10.2905417642 %) (34.567256903 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.720246674769\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 15.8850153303 at 1.620375 uk\n",
      "init molecule density = 1.50324503845e+11 cm^-3 (12.850336202 %)\n",
      "two-body rate coefficient = 2.54079206175e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0907540549115\n",
      "loss rate coefficient = 2.25095559725e-11 (13.7207228173 %) (35.7387497631 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 12.1656709855\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0652987128702\n",
      "\n",
      "loss rate from EXP fit = 11.9379694663\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.54079206175e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.090300108215\n",
      "loss rate coefficient = 2.3060185863e-11 (11.9680386913 %) (35.1031900276 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.54079206175e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0914943902889\n",
      "loss rate coefficient = 2.28588641318e-11 (12.0584032617 %) (35.1341015144 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 33.0, sf = 8.0 --> Field = 1036.58272 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 24 $$$ 24 $$$ 24 $$$ 24 $$$ 24 $$$ 24 $$$ 24 $$$ 24 $$$ 24 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1281.27115435 for Na num 511.108673297E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 296.133840854k\n",
      "TOTAL Na num = 296.133840854k\n",
      "\n",
      "init mol temp/init Na temp = 1.19325316693\n",
      "init mol temp = 1.56720833333e-06 uk\n",
      "init na temp = 1.31339130435e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.97865222364\n",
      "\n",
      "init na num = 414.202572329 at 1.31339130435 uk\n",
      "init Na density = 7.62250129271e+11 cm^-3 (7.03093014383 %)\n",
      "\n",
      "init overlap density = 5.71215424714e+11 cm^-3 (9.46420049161 %) (34.330323199 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.749380554728\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 16.08029147 at 1.56720833333 uk\n",
      "init molecule density = 1.5998131415e+11 cm^-3 (8.23679202538 %)\n",
      "two-body rate coefficient = 2.4574252827e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0823606660435\n",
      "loss rate coefficient = 1.80295199464e-11 (12.5460704628 %) (35.3044456699 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 11.263074065\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0558821149414\n",
      "\n",
      "loss rate from EXP fit = 10.5490513569\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4574252827e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0809889334977\n",
      "loss rate coefficient = 1.86027018196e-11 (10.6124075677 %) (34.6644370268 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4574252827e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0826042064778\n",
      "loss rate coefficient = 1.82766616083e-11 (10.7361850846 %) (34.7025311781 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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699WpbeKCjeQ4XAXSchwuJi4oeq8zlMoUsIwxdY0xKcaY832vii6YUiej82GV3J133lmgFvbwww8zZswYunbtisvlOsGewRV3LdSpYeeh4P+mxaWHSqnnwzLG/BMYAvzB8QkVRUQuqdiilZ7OhxVap/I8QjofVvVxKn+Py6rrhEVkBglOCXViWTq6fH/qyzMfVlk6XdwINBeR/LJ8oFLh7oEHHuCLL77g888/r+qiKFUlRvVuyZgPVxdoFoy1WxnVu2UVlqpsAWsNUAfYU8FlUSos6HxYqrrz9QYMt16CZWkS7IBnVuA1QJ4vXUT6VmzRSk+bBENLm1LUqUC/x6EV6ibBWcAzwGrAXZYPVUoppUqrLAFrn4hMKcuHGWOswEogU0SuMsbMBHoAWd4sQ0QkzXgeankBuBLI9qb/UpbPVEopdWooS8D62RjzNPAxBZsESxJQHgTWA7UD0kaJyJxC+a4AzvG+OgOvet+VUkpVU2V5Dqsd0AX4N/Cc9zXpZDsZYxoDfwFKMsT1NcBb3qGnlgN1jDENy1BWVQ3MnTsXYwwbNlTcaPEDBw6kZcuWtGnThjvuuMM/dFFWVhZXX301bdu2pXXr1syYMeOEx5k1axbnnHMO55xzTrEPKo8fP56EhARSU1NJTU31905MT08nNjbWnz5s2DD/PrNnzyY5OZmUlBT69OnDvn37gh57165d9OrVy7/ep08fMjMLjlYwZMgQEhISyMvz/P7ct28fiYmJAGzbto327duTmppK69atmTp1aoFj+a7DsGHDTvg81/Lly+ncuTOpqamcd955jB8/HvA8tNygQQP/OQ4aNAjAPwhwamoqHTp0YMWKFUWOmZ6ezrvvvlvsZ/osXryYH3744aT5VAQo6yCEpX0Bc4D2QE/gU2/aTGAj8BswGYj2pn8KdAvYdyHQoZjj3o2nmXHlWWedVa5BGVXplHbQ0Lm/ZMiFTy+UxEc+lQufXihzf8mokHLccMMN0q1bN3niiSdKva/T6Qya/tlnn4nb7Ra32y033XSTvPLKKyIi8tRTT/kHod2zZ4/UrVtX8vLygh5j//79kpSUJPv375cDBw5IUlKSHDhwoEi+wEFlA23dulVat25dJN3hcEiDBg1k7969IuIZ3Le4c3/zzTdl0qRJIuIZILhjx45F8gwePFiaNGniP8e9e/dK06ZNRUQkLy9PcnNzRUTkyJEj0rRpU8nMzBQRzwC6IiJut1v69+8vs2fPDloGEZEWLVpIWlqaiHiu+dq1a0Wk4KDDgS6//HL5/PPPRcTzb9GjR48ieQoPJFyc4q6vjw5+G1qUY/DbUtewjDHjgr1Oss9VwB4R+bnQpjHAuUBHIB7wTX4UbGC2oN0ZRWSaiHQQkQ4NGjQo3cmokKmsscmOHj3K0qVLeeONN3jvvff86YsXL6Z79+5ce+21tGrVimHDhuF2e/oI1axZk3HjxtG5c2eWLVsW9LhXXnklxhiMMXTq1ImMjAwAjDEcOXIEEeHo0aPEx8djswVvWV+wYAGXX3458fHx1K1bl8svv5z58+eX63zh+I/MY8eOISIcPny42Hmp5s+f7x/0dvHixfTs2TNovoceeojJkycXGZMwKirKP25hXl6e/xoC1K7tadl3Op3k5+efcDzFPXv2+AfrtVqttGrV6oTnaIzh8OHDgKdWG+z8Ro8ezXfffUdqaiqTJ0/mP//5D3fccQcAq1evpk2bNqxbt46pU6cyefJkUlNT/cNeqchUlibBYwEvF577TYkn2acr0NcYkw68B1xijPmviOzyBt08YAbQyZs/A2gSsH9jQKc3jWCVNTbZvHnz6NOnDy1atCA+Pp5ffjl+K3XFihU899xzrF69mj/++IMPP/wQgGPHjtGmTRt+/PFHunXrFvS4B7Pz2bDrMD9v3cv0N2fStadnjqvhw4ezfv16GjVqRHJyMi+88AIWS/D/RpmZmTRpcvxr3Lhx4yLNcT4vvfQSKSkp3HHHHf45sAC2bt1Ku3bt6NGjh/+Prd1u59VXXyU5OZlGjRqxbt067rzzziLHdLlcbNy40R8cvvjiC/r06RP088866yy6desWdGSPHTt2kJKSQpMmTXjkkUcKBI/evXtz+umnU6tWLa6//vqgxwYYMWIELVu25Nprry0y6PD777/vbxL0NbE+//zzjBo1iiZNmjBy5EiefvrpIsecMGECF110EWlpaYwYMYKHHnqIzZs3M3fuXG6//XZee+01/4+VESNGkJaWxkUXXVRsGVX4K3XAEpHnAl5P4WniO+HTZCIyRkQai0gicBOwSERu9d2X8vYK7Ifn2S7wdOgYZDy6AFkisqu0ZVXho7LGJps9ezY33XQTADfddBOzZ8/2b+vUqRPNmjXDarVy88038/333wOeX/iBU8cXdjA7n8yDOeS73Pz7sZGc3/lCzmrVnoPZ+SxYsIDU1FR27txJWloaw4cP99cECpMgzzgGq4Xce++9/PHHH6SlpdGwYUP+/ve/A9CwYUO2b9/OqlWr+M9//sMtt9zC4cOHcTgcvPrqq6xatYqdO3eSkpIS9A/6jz/+SOfOx/sqLV26tNgADfDoo48yceLEArUogCZNmvDbb7+xefNmZs2aVWDSywULFrBr1y7y8vJYtGhRscceN24cK1eupFevXrz77rsFAueAAQNIS0sjLS3NP9jwq6++yuTJk9mxYweTJ08OGpALs1gszJw5k9tuu40ePXrQtWvXk+6jIktFjNYeBzQr477vGGNW43mmqz7wL2/658AWYDMwHbivvIVUJTdvVSZdJywiafRndJ2wqEKmFGhUJ7ZU6SWxf/9+Fi1axNChQ0lMTGTixIm8//77/kBRODj41mNiYk44Ff3urFzcIkyd/AwH9+9j5LincIuwOyuXGTNm0L9/f4wxnH322SQlJRXb2aNx48bs2LHDv56RkRG0aeuMM87AarVisVi46667/B0MoqOj/XNctW/fnubNm/P777+TlpYGQPPmzTHGcOONNwbtVBBYo9qyZQtNmjQhKiqq2PM+++yzSU1N5X//+1/Q7Y0aNaJ169ZFmtViYmLo27cvH330UbHH9pX33nvvZeHChfz666/s37+/2LyzZs2if//+ANxwww1BO10Es2nTJmrWrMnOndogcyoqyz2s1caY37yvtXg6Tbxwsv18RGSxiFzlXb5ERJJFpI2I3CoiR73pIiL3i0hz73YdviJEKute06jeLYm1FwwS5R2bbM6cOQwaNIht27aRnp7Ojh07SEpK8tekVqxYwdatW3G73bz//vsnrF0Eyne5+XD2W/zw7UImvPS6v8kv3+XmrLPOYuHChQDs3r2bjRs30qxZ8N9rvXv35ssvv+TgwYMcPHiQL7/8kt69exfJt2vX8caDuXPn+uff2rt3r7/n3ZYtW9i0aRPNmjUjISGBdevWsXfvXgC++uqroCM1LFy4kEsv9TRlnqg5MNBjjz3GpEnHO/1mZGT4R2M/ePAgS5cupWXLlhw9etRfbqfTyeeff865555b7HE/++wz/w+JTZs2YbVaqVOnTrH5GzVqxLfffgvAokWLOOecc4rkKTzFSVZWFg8++CBLlixh//79zJkzJ2g+VTKV8cO1vMryHNZVActOYLeIFD97nIooJ7rXVJ5xxCpjbLLZs2czevToAmnXXXcd7777LgMGDOCCCy5g9OjRrF692t8BoySirBb+NeZvNExowqB+ni7hl1xxNX/9+2jGjh3LkCFDSE5ORkR45plnip2mJD4+nrFjx9KxY0fA0yzmm4146NChDBs2jA4dOvDwww+TlpaGMYbExERee+01AJYsWcK4ceOw2WxYrVamTp3q3/+JJ56ge/fu2O12mjZtWmROq7179xITE+PvGDF//vwSjZHYunVrzj//fP+9wPXr1/P3v/8dYwwiwsiRI0lOTmb37t307duXvLw8XC4Xl1xySYFu94W9/fbbjBgxgri4OGw2G++8884Ja7nTp0/nwQcfxOl0EhMTw7Rp0wBYuXIlU6dO5fXXXyclJQWbzUbbtm0ZMmQIq1ev5r777qNFixa88cYbXHzxxXTv3p2rr76a66+/no8++ogXX3xR72OVgO+Hq+9vge+HK1Cl4wmWeixB8I9YcQYBAU9Ethe/R2hUxFiC4TgtdCgljf4saHdMA2yd8JcCaeE8BtvixYuZNGkSn376aan39d3Dcgf837AYQ0LdWOrGFd+kFk7++9//kpGRwejRo8nLy6Nr167oOJvBhfP3uKqcMtOLGGMeAJ4AdnN8LEEBUspSgHASrr8qQqlRndigX9Ty3GuKNL6gtDsrl3yXmyirhTNOi4mYYAVw6623+pejo6M1WKlSCdcJHMvSJPgg0FJEir9jGqEqqzkskoTrPDil1bNnz2KfOQp07bXX+qe293nmmWfo3bt3iQPU6tWrue222wqkRUdH8+OPP5a4vKeK+++/n6VLlxZIe/DBB/29/yJJdW5tCdcfrmUJWDs4PljtKSVcf1WEUrjOg1NZ5s6dW+5jJCcn+3vuVXenynxf1b21JVx/uJYlYG0BFhtjPqPg4Lf/qbBSVZFw/VURav3aJZT4P6WInHCEA6XCWXH38Kt7a0u4/nAtS8Da7n1FeV+njHD9VRGuYmJi2L9/P/Xq1dOgpSKOiLB//35iYmKKbNPWltL9cA2VUgcsEflHZRQkHITrr4pw1bhxYzIyMvzPAykVaWJiYmjcuHGRdG1tCU9lqWGd0sLxV0W4stvtJCUlVXUxlKpw2toSnjRgKaVUIdraEp40YCmliqjOXbp9tLUl/JTlweEY4E6gNeC/Wykid1RguarUF0vf5vcdyzk7NoEmMY2IiYklKjqW6Ng4omNiiI2JIzomFos9GqzRYIsBW5Rn2WoH7YCgIlh179KtwldZalhvAxuA3sCTwEBgfUUWqqp9tfE9vrJuhzyo4XbTKi+fc/PzOS8/n5Z5DpIcjmJHDXZjcBkbThOF22LHZYlCLFG4rd6AZovC2KIxtigstmgs9his9mhsUdFY7TEYmzfoWaPBGlUwENq8ab6XP2/hPPaAfAHLFpsGU3VS1b1LtwpfZQlYZ4vIDcaYa0RkljHmXWBBRResKj1x3Syu3/kba/evZUPWJjYf3cJ7eZk4vGP8WrFQnzqcLrVp4KpJPWcs8Y4o4vOsWJ1OcOaBKx/jzMe48rHjIAonUd73aHMYO84CaXbjJBoHdlxEGwd2nFhxn6SkpWWCBzL/cuD7CYJegfSAfSy+ZW8ei71gHv++9kL57QW3WWwB27XGGmrapVuFq7IELIf3/ZAxpg3wJyefcTiinHZafS487RIu5Pggj063k22Ht7HhwAY2HdzE5kOb2XRwE6uPrfFcxRiw1LbQqEYjmtZuStPaLWlSqwkJNRM4PbYRdaLOxO2ycyzfybE8J8fyXezJc3Esz0l2vmf9WJ6TY3kusvOdHM1zkpuXT15eDo68XM/LkY8zPxeXIxebOL1Bz4HdeJajcWLD5U/zBEcnNaxuathcxFrcxFndxFpdxFjcxFicxBgXUeIk2uXG7nYS7XBgw4WNPGzixIYTizixuvOxuJ1Y3A5wOzCufHA5wJUPQYfLrUAW2/HgVWxgK5zHHnzdYi26zb89MJ/t+DH96daA/awn2GYr+PJvDziexRq2gVi7dKtwVZaANc0YUxcYi2dm4JrAuAotVRiyWWw0r9Oc5nWaF0jPdmSTfjidLVlb2Jq1le2Ht7Pt8DbS9qZxzHGsQN460XVoVLMRDWs05MwaZ3Jm3JmcEX8GiXGnc3rc6Zwe15hoa/RJyyIi5DndHM1zegOeL8i5yPYGQ1/Qy8l3cTTPxe48J9kOT1D0pfuCZ3aeZ9ldwrhjDNSIshEXZaVmjJWa0YZaUXCaXajlfdWwCTXtbmraoYbVTazNTQ2rBARMF7EWIdrqItq4iDIuTzB0OcHt8ARD37t/2bctv1A+Z8H8bic4cgrtE5jPWXCb2wlS0bXZklxIa0CACwiAvnVrofXCgbDAq/D2YOsnyGOOb3/x3CP875ddZDsNbiw4sWK12ri1bTPY9HXRYxkrWCwBywGfV2DdVjTNt69SJVCm6UXK/GGeaUlWApkicpUxJgl4D4gHfgFuE5F8Y0w08Bafm+B4AAAgAElEQVTQHtgPDBCR9JMdvyKmF6koIsKhvENkHMlgx5Ed7Dy2k51HPa9dx3bx57E/yXZmF9mvdlRt6sfWp35sferF1KNebD3iY+KJj4mnTkwdz3t0HepE16F2VG2sluLnFCpteX1BMDvPRbbDWajG5yLHFxTzA4NeQC3RX2P0BMDsfBeukkZBIC7KSo1oGzWirMRF2agRXeg9ykrcCbfbiIu2Fni3WkpYi3G7CwZKtytg2Vl0PTDYBS771wttl8D9Az5LXAHHdgYcw7ct8HjO48E1MJ/bFfB53uO5A9Ndx4/le4UVczyg+QOntUAQLRoUrcHTLDYwloL7+/IFC5TGeoK8J0q3FC1rkc8Nsh54nCLbTcHPM5aAPJZijlc4j7XQevjV4kM9vUg0cB2eZsDA+bCeLMHuD+LpoFHbu/4MMFlE3jPGTMXT+/BV7/tBETnbGHOTN9+A0pa1LCqqO68xhroxdakbU5fkBslFtosIRx1H+fPYn+zN3svu7N3syd7Dvpx97M/dz97svazZv4YDuQeK1NT8n4GhVlQtTos+jdOiTqN2dG1qR3letaJqUSuqFjXtNakZVZNaUbWIs8VRM6omNWw1iLPHUcNeg2hrNMYYjDHE2K3E2K2eOnMF8AXBbF9zpzeIZee5PIExoCnUk348jy9QHsrOZ+chF9n5Ln+QzHeVvDYUY7cUDGTeYOcLjgXeA/Ktzsxi3qpM9h/L5/Ra0dzboznXnt+UuCgbUbYIrxGIHA96gUHTF9z8wc+bxxdsxXU82PqCoC8Y+/bzLweu+4JmQKD15ZHCQfUk6YGfIe7gnyv5Bffz5ZPAY7uDlNtdKI/3PaKZYgKgCRLcAoJcgYBohX4vQ0L7qj6Z0tewjDHz8YzW/jPg/9cUkedOsl9jYBbwFPA34GpgL3CmiDiNMRcA40WktzFmgXd5mTHGhuc+WQM5SWHLW8Mq3J0XPE+3P90/uUp7R+U6czmYe5CDeQc5mHuQA7kHOJx/mEN5hziUe4is/CwO5x/mcN5hjuQf8SznH8ZZgl/SVmMlzhZHrC2WOLvnPdYWS4wthlhbLNHWaP96tDWaGGuMfznaGk2UNarAcpQ1iiiL591utR9fttg9L6vn3WLK/kc/3+n2B7vsvIK1vQK1vzxfTc/pD5I5juMBMrBpNNdR8iBotxp/0Csa8EpXQ4z17hdrt2IpaW1QhVZxgUwkIOC5TxwgxV3oOIWP6S56DN8rWP7A4xXI4z758QLLV2BdCh4POb7vxY/B6edWyOUMaQ0LaCwifcqw3/PAw0At73o94JCI+P6qZgC+qJCAZxoTvMEsy5t/Xxk+t8TCtTtvjC2GhjUb0rBmwxLvIyLkunI55jjGkfwjHM0/yjHnMY7lH+Oo4yjHHMfIdmaT7cgm25lNjjOHHEcO2c5sdhzKYtuBTPLdudhsLmrGuME4yHXl4nA7Tv7hJWA1VmwWG3aLHZvFVmTZaqz+dauxYrVYsRnvNosVi7FgMwWXLcaCzeJ5t9gtWKOsWI2FOsZKvMWC1Xjy+l9YsFqsGAwGC043uFwwfclWjuS5QQyeuZYNiCE2ykaPFqeT7xQcTiHPKeS73OQ7hEMOYXeOkH/YTa5DyHe6yXW6vfcFLd5+Kb6A5DtmwbQoq5XYKAvRNhsxdiuxdhvRNgux9uPrMVHed5uF2CgbMXbP9lhveqzdSmyU3bvdit1i8degPZ9S8B08rQH+de/bwnV7eOP7rew5ksfptWIYelESl7c68/g+gfsHLFMo5hb+nKD7BFkPts+JFLd/SY9X0v2LHMtqPPcaw1xZzi9Q7ajahMNZliVg/WCMSRaR1SXdwRhzFbBHRH42xvT0JQfJKiXYVvjYdwN3A5x11lklLVJQp1J3XmOMv7ZUP7Z+ifebtyqTMYsL1jIdAbVMl9tFniuvwCvX6Qlk+a588lx5RZZ96w6XA6c4PWkuB06307/dt+x0O3GJC6fb6X/51vNceeQ4c3CKJ90tbv8237Lb7cYpAevi9iy7vct41k+obsAT8QEEWHwgyAYLEKSvTLBjnIzD+zpa+IPzva/grcOV43SocbrnI1/Y6Hmp6unN3m/S8cyOVV2MMgWsbsAQY8xWPPNhGUBEJOUE+3QF+hpjrsTz/7g2nhpXHWOMzVvLagzs9ObPAJoAGd4mwdOAYH8qEJFpwDTwNAmW4Xz8tDvvyWuZVouVOEsccfa4Kiph+YkIguASFyJSILC5xU2PiQvJynEAAkY87winxVr55K9dQTi+v2fFvywiuMXtWfZuC1z3tWoL3nxSNN237tu/cJrLLeQ5XeQ6PK/jy05ynW7yvOn5Lrc/Pc/p9r5c5Dlc5Lnc5Dvc5Lqc5Hu3uQu0uBf+r1Rw3W41RNssRHlf0TYL0TZDlM16PN1qIcru2RZlDdzm2ddutRJt922zYLdasATUgOQEj0sE3h04Ub6CZxA8Xyg7nlXF55b0+pzIWbXKVxmoKGUJWFeUdgcRGQOMAfDWsEaKyEBjzAfA9Xh6Cg4GPvLu8rF3fZl3+6KT3b+qCDpC86lVyyyOrwms2PtorpqIK0jTp9NOk1pNKrdwVcTXQSYn30W7f35VbL7H/3JeocciPPcNfR1rso+4OOhwFUgvjbjA+3v24/cHAzvF+DvNRHmaQj15C94zDOxgE2O36Hxtp4iyzIe1rQI//xHgPWPMv4BVwBve9DeAt40xm/HUrG6qwM8slo7QrLVMwFu7Knn6qSCwl2hCMd+BhDqxDL2oWamO63YLuU5XgY4wvkAW+LhEtq/TjPd5Qd/zhDnezjF7DueR7Tj+zGBpOsn4nhv0dHA5HvDiom3E2a1FepAGdobx9yqNDgiaGgirTMhHaxeRxcBi7/IWoFOQPLnADSEtmFd1H6FZa5katCvyO2Cx+HpUVuyfGpdbyM53+gNadr6LHMfxwOgLiMcflwisCXqWD+c4+DMrh2N5Ln/v0Txn5QTC2EI1wrioQo9YBATFWLtVA2ExdHoRVYDWMj1/sEd98CuOgIee7RZTbYJ2JHwHrBZDrRg7tWLsnF6Bx3W63GQ7XN7aoK8m6H08whvocrxNnjn5RQNhjsNJljcQZgcco7SBMM5uJbaYptHARyqO1wh9j0sELvsCqGc51m4t+YP0YUoDliqiutcygaL9VCP7/3mpVdfvgM1qobbVQu2Yiu3EHVgjLPCwfMD9vxyHy18jzM53+YdSy66gplHwPEhf+B5gwYfpj98PDKwV9mzRgNNrl6Xfa8XSgKVUIRMXbMThKtjHx+GSKn8eT0WuwBphRXK7xVPjyw92j9Dlf8A+p1Badt7x4dOy810czM45XmP03kcM7OZmAW7pchb/6ld01J5Q0oClVCHVoaekOjVYLMYz/mZ0xf4pf2zub7zz4w7/uhv47/LtAFUatCJ8UDSlKl5xnSuqS6cLpd5bkRE0fXZAEKsKGrCUKmRU75bE2guOgl/dekoqz6gvXScsImn0Z3SdsIh5qzKrukgh4yrmsdfi0kNFmwSVKiQSesmpylV4IOzMQzmM+dAzGl11+B5YjQkanKxV3N1eA5ZSQVTXXnLKI1wHwg6Vmzs38d+zKpxelbRJUCmlCqnuHW/+1S+Zrs3jC6R1bR5f5b0ENWApFUR1vn+htOPNvFWZ/LI9q0DaL9uzqvz/gQYspQrx3b/IPJSDcPz+RVX/Z1WhU9073pyoSbQqacBSqpBw/c+qQqdfuwSe7p9MQp1YDJ6Bf6t65vFQCtcmUe10oVQh4fqfVYVWde54E64DQGsNS6lCqvv9C6XCtUlUA5ZShYTrf1alQiVcm0S1SVCpQvq1S2DltgPM/nEHLhGsxnBd++rbPKSqp3BsEtUallKFzFuVyf/9nOl/0t8lwv/9nKm9BJWqYiEJWMaYGGPMCmPMr8aYtcaYf3jTZxpjthpj0ryvVG+6McZMMcZsNsb8Zow5PxTlVAq0l6BS4SpUTYJ5wCUictQYYwe+N8Z84d02SkTmFMp/BXCO99UZeNX7rlSl016CSoWnkNSwxOOod9XufZ1o2N9rgLe8+y0H6hhjGlZ2OZUC7SWoVLgK2T0sY4zVGJMG7AG+EpEfvZue8jb7TTbGRHvTEoDAiVcyvGlKVTrtJahUeApZwBIRl4ikAo2BTsaYNsAY4FygIxAPPOLNHmwM+6A1MmPM3caYlcaYlXv37q2EkqvqJly79CpV3YW8W7uIHDLGLAb6iMgkb3KeMWYGMNK7ngEEjmPfGNhZzPGmAdMAOnToULWzi6lTRjh26VWqugtVL8EGxpg63uVY4DJgg+++lDHGAP2ANd5dPgYGeXsLdgGyRGRXKMqqo3QrpVR4ClUNqyEwyxhjxRMk/ycinxpjFhljGuBpAkwDhnnzfw5cCWwGsoHbQ1HI6j7LqFJKhbOQBCwR+Q1oFyT9kmLyC3B/ZZersOo+y6hSSoUzHekigD5/o5RS4UsDVgB9/kYppcKXBqwA+vyNUkqFLx2tPYDvPtXEBRvZeSiHRnViGdW7pd6/UkqpMKABqxB9/kYppcKTNgkqpZSKCFrDUkoVMW9VpjaNq7CjAUspVYA+QO+hQTv8aJOgUqoAncDyeNDOPJSDcDxo61BtVUsDllKqAH2AXoN2uNKApZQqQB+g16AdrjRgKaUK0AfoNWiHKw1YSqkCdAJLDdrhSnsJKqWKqO4P0OuoN+FJA5ZSSgVR3YN2ONImQaWUUhFBA5ZSSqmIYDyT+54ajDF7gW0VdLj6wL4KOlak0mug16C6nz/oNajo828qIg3KsuMpFbAqkjFmpYh0qOpyVCW9BnoNqvv5g16DcDp/bRJUSikVETRgKaWUiggasIo3raoLEAb0Gug1qO7nD3oNwub89R6WUkqpiKA1LKWUUhGhWgYsY0wfY8xGY8xmY8zoINujjTHve7f/aIxJDNg2xpu+0RjTO5TlrihlPX9jzOXGmJ+NMau975eEuuwVpTzfAe/2s4wxR40xI0NV5opWzv8HKcaYZcaYtd7vQ0woy14RyvH/wG6MmeU97/XGmDGhLntFKcE16G6M+cUY4zTGXF9o22BjzCbva3BICiwi1eoFWIE/gGZAFPAr0KpQnvuAqd7lm4D3vcutvPmjgSTvcaxVfU4hPP92QCPvchsgs6rPJ9TXIGD7/wEfACOr+nyq4HtgA34D2nrX61Wz/we3AO95l+OAdCCxqs+pkq5BIpACvAVcH5AeD2zxvtf1Ltet7DJXxxpWJ2CziGwRkXzgPeCaQnmuAWZ5l+cAlxpjjDf9PRHJE5GtwGbv8SJJmc9fRFaJyE5v+logxhgTHZJSV6zyfAcwxvTD8x90bYjKWxnKcw16Ab+JyK8AIrJfRFxElvKcvwA1jDE2IBbIBw6HptgV6qTXQETSReQ3wF1o397AVyJyQEQOAl8BfSq7wNUxYCUAOwLWM7xpQfOIiBPIwvMrsiT7hrvynH+g64BVIpJXSeWsTGW+BsaYGsAjwD9CUM7KVJ7vQQtAjDELvM1FD4egvBWtPOc/BzgG7AK2A5NE5EBlF7gSlOfvWZX8LayOo7WbIGmFu0oWl6ck+4a78py/Z6MxrYFn8PzSjkTluQb/ACaLyFFvhStSleca2IBuQEcgG1hojPlZRBZWbBErVXnOvxPgAhrhaQ77zhjztYhsqdgiVrry/D2rkr+F1bGGlQE0CVhvDOwsLo+32n8acKCE+4a78pw/xpjGwFxgkIj8UemlrRzluQadgWeNMenAQ8CjxpjhlV3gSlDe/wffisg+EckGPgfOr/QSV6zynP8twHwRcYjIHmApEBZDF5VSef6eVcnfwuoYsH4CzjHGJBljovDcTP24UJ6PAV+vl+uBReK50/gxcJO391AScA6wIkTlrihlPn9jTB3gM2CMiCwNWYkrXpmvgYhcJCKJIpIIPA/8W0ReClXBK1B5/h8sAFKMMXHeP+Q9gHUhKndFKc/5bwcuMR41gC7AhhCVuyKV5BoUZwHQyxhT1xhTF09ry4JKKudxVd1TpSpewJXA73h6yDzmTXsS6OtdjsHTA2wznoDULGDfx7z7bQSuqOpzCeX5A4/jabtPC3idXtXnE+rvQMAxxhOhvQTLew2AW/F0OlkDPFvV5xLK8wdqetPX4gnUo6r6XCrxGnTEU5s6BuwH1gbse4f32mwGbg9FeXWkC6WUUhGhOjYJKqWUikAasJRSSkUEDVhKKaUiggYspZRSEUEDllJKqYigAUsppVRE0IClVBkZY+oYY+4LWG9kjJlTSZ/VzxgzrgKPNymSp4dR1ZM+h6VUGXnnR/pURNqE4LN+wPMw574KOl5TYLqIROp4kKoa0hqWUmU3AWhujEkzxkw0xiQaY9YAGGOGGGPmGWM+McZsNcYMN8b8zRizyhiz3BgT783X3Bgz33gmxPzOGHNu4Q8xxrQA8nzByhhzgzFmjTHmV2PMEm+a1VuGn4wxvxlj7gnY/2HvZIO/GmMmAIjINjyjz59Z6VdJqQpSHUdrV6qijAbaiEgq+GtcgdrgmfQyBs/wNY+ISDtjzGRgEJ6xCKcBw0RkkzGmM/AKULiprivwS8D6OKC3iGR6x3cEuBPIEpGO3jnKlhpjvgTOBfoBnUUk2xcovX7xHvv/ynwFlAohDVhKVZ5vROQIcMQYkwV84k1fjWfw2JrAhcAHAVOVBJsQsyGwN2B9KTDTGPM/4ENvWi/vMX3TmJ+GZ3Dmy4AZ4hlVHSk4b9MePFNkKBURNGApVXkCJ7d0B6y78fzfswCHfDW0E8jBE4AAEJFh3trYX4A0Y0wqnvmJHhCRAiNmG2P6UPw8RTHeYysVEfQellJldwSoVdadReQwsNUYcwOAd7qKtkGyrgfO9q0YY5qLyI8iMg7Yh2deogXAvcYYuzdPC+/UF18Cdxhj4rzpgU2CLfCMtq5URNCApVQZich+PPeK1hhjJpbxMAOBO40xv+KZruKaIHmWAO3M8XbDid5OFGu8234FXscz1cUv3vTXAJuIzMczx9FKY0waMBLAG9jOBlaWsdxKhZx2a1cqAhhjXgA+EZGvK+h41wLni8jYijieUqGgNSylIsO/gbgKPJ4NeK4Cj6dUpdMallJKqYigNSyllFIRQQOWUkqpiKABSymlVETQgKWUUioiaMBSSikVETRgKaWUiggasJRSSkUEDVhKKaUiggYspZRSEUEDllJKqYigAUsppVRE0ICllFIqIpxSMw7Xr19fEhMTq7oYSimlivHzzz/vE5EGZdn3lApYiYmJrFyp89EppVS4MsZsK+u+2iSolFIqImjAUkopFRE0YCmllIoIp9Q9LKVOJQ6Hg4yMDHJzc6u6KEqVWkxMDI0bN8Zut1fYMTVgFTJvVSYTF2xk56EcGtWJZVTvlvRrl1DVxVLVUEZGBrVq1SIxMRFjTFUXR6kSExH2799PRkYGSUlJFXZcbRIMMG9VJqPm/ErmoRwEyDyUw6g5vzJvVWZVF01VQ7m5udSrV0+DlYo4xhjq1atX4a0DGrAC/OOTtThcUiDN4RL+8cnaKiqRqu40WKlIVRnfXQ1YAQ5mO0qVrpRSKnQ0YCmlijVlyhTOO+88Bg4ceMJ8NWvWBCA9PZ02bdpUerl8n1fePCqyaKeLAMaASPB0paqjV155hS+++KJCb5wrVVZawwoQLFidKF2pU9mwYcPYsmULffv2ZfLkyYwfP55Jkyb5t7dp04b09PQSHWvx4sX06NGDG2+8kRYtWjB69GjeeecdOnXqRHJyMn/88QcA27Zt49JLLyUlJYVLL72U7du3A7B161YuuOACOnbsyNixYwsce+LEiXTs2JGUlBSeeOKJijl5FZa0hhUgoU4smYdyiqQ3Oi2mCkqjVICHHoK0tIo9ZmoqPP98sZunTp3K/Pnz+eabb6hfvz7jx48v18f9+uuvrF+/nvj4eJo1a8bQoUNZsWIFL7zwAi+++CLPP/88w4cPZ9CgQQwePJg333yTv/71r8ybN48HH3yQe++9l0GDBvHyyy/7j/nll1+yadMmVqxYgYjQt29flixZQvfu3ctVVhWetIYVYFTvlsTarUXS46JtrM7IqoISKXXq6NixIw0bNiQ6OprmzZvTq1cvAJKTk/01tWXLlnHLLbcAcNttt/H9998DsHTpUm6++WZ/us+XX37Jl19+Sbt27Tj//PPZsGEDmzZtCuFZqVDSGlYA3wPCvgeHG54Ww4XN67No4x6uful7+qU2YmTvljSuG1fFJVXVzglqQqFis9lwu93+9dI+YxMdHe1ftlgs/nWLxYLT6Qy6T2DX6GDdpEWEMWPGcM8995SqLCoyaQ2rkH7tElg6+hK2TvgLP4y5lEk3tmXxqJ7c17M5X6z5k0ue+5anv1hPVo52dVfVS2JiIr/88gsAv/zyC1u3bq3wz7jwwgt57733AHjnnXfo1q0bAF27di2Q7tO7d2/efPNNjh49CkBmZiZ79uyp8HKp8KABK5jt23lpxAjSvPcMasfYebjPuSwa2ZOrkhsybckWekz8hte/20Ke01XFhVUqNK677joOHDhAamoqr776Ki1atKjwz5gyZQozZswgJSWFt99+mxdeeAGAF154gZdffpmOHTuSlXW8eb5Xr17ccsstXHDBBSQnJ3P99ddz5MiRCi+XCg9GTqEucB06dJCKmMAx9/77qfXKK9gtFl55/HFuHTsWm+146+nanVlM+GID323aR+O6sYzs1ZK+bRthsWj/d1Vx1q9fz3nnnVfVxVCqzIJ9h40xP4tIh7IcT2tYhcxblckVp1/J9a16kiRw+5NPcl6dOlzZrRu7d+8GoHWj03j7zs68fWcnTou189D7aVz14vcs+X0vp9IPAKWUCicasALMW5XJmA9XszUHll09EvnrbO5o3ZOc7Gy+WLqUD/v0gTVr/PkvOqcBnwzvxgs3pXIkz8GgN1dwy/QfSdtxqArPQimlTk2VFrCMMW8aY/YYY9YEpI03xmQaY9K8ryuL2bePMWajMWazMWZ0ZZWxsIkLNpLjOH5PKjumBguvGkmrx/6PWddcwz2bN0NKClc2bMgd/fsjIlgshmtSE/j6bz0Yf3Urft99hH4vL2XY2z+zeY+2pSulVEWpzBrWTKBPkPTJIpLqfX1eeKMxxgq8DFwBtAJuNsa0qsRy+u0M8tAwwCZHFIPmzcOybRuuhx9m2Z9/MmPuXC5s0ICv3ngDh8NBtM3KkK5JfPvwxTx02Tl8t2kvvSYvYdQHvwZ9GFkppVTpVFrAEpElwIEy7NoJ2CwiW0QkH3gPuKZCC1eMRnViT5weH491wgR2Z2byau/eZB44QK+hQ6kZE8Mb//wnADWjbTx0WQuWPHwxQy5M4qO0nVw8cTHjP17L3iN5oTgNpZQ6JVXFPazhxpjfvE2GdYNsTwB2BKxneNOCMsbcbYxZaYxZuXfv3nIVLNhIF7F2K6N6tyyQFtWoEcPmz2fTjh08esEFWNxuGo4bBwMGkD5/Pnl5edSrGc24q1vxzaieXNsugbeXb6P7s9/w7PwNZOl0JUopVWqhDlivAs2BVGAX8FyQPMH6hhfb9U5EpolIBxHp0KBBg3IVrl+7BJ7un0xCnVgMnrEFn+6f7B8Bo7DohASe+uEHDu/axZWPPgpffMFFV1xB/Ro1+PLVVxEREurE8sz1KXw1ojuXtTqDVxb/QbdnF/Hiwk0czQv+dL9Sp5KZM2cyfPjwk+bZuXOnf33o0KGsW7eusoumIkxIA5aI7BYRl4i4gel4mv8KywCaBKw3BnYGyVcpAke6WDr6kmKDVSD7mWfCU09BejrXdepElNtN7/vuo2t8PI/ffjv5+fk0a1CTF29uxxcPXkSXZvV47qvfueiZRUxb8gc5+frwsareCges119/nVatQnLrWkWQkAYsY0zDgNVrgTVBsv0EnGOMSTLGRAE3AR+HonzlFh/P8z/+yM5du3jlqqvYkpXFUzNnclPjxrBkCQDnNazN9EEdmHd/V5Ib1+Hfn2/gome/4c3vt5Lr0MClwku/fv1o3749rVu3Ztq0aYBnYsTHHnuMtm3b0qVLF//ziZ988gmdO3emXbt2XHbZZf50nyNHjpCUlITD4WkSP3z4MImJiXzwwQesXLmSgQMHkpqaSk5ODj179sQ3CMD8+fM5//zzadu2LZdeemkIz16Fm0ob/NYYMxvoCdQ3xmQATwA9jTGpeJr40oF7vHkbAa+LyJUi4jTGDAcWAFbgTRFZW1nlrAzRZ5zBvZ98wh379/NIv37cs24d9OjBS82a8WuLFrw8bx6pTerw1h2d+Cn9AP/58nee/HQdry35g/svPpsBHZsQbSs6aryqvv7xyVrW7Txcocds1ag2T1zd+oR53nzzTeLj48nJyaFjx45cd911HDt2jC5duvDUU0/x8MMPM336dB5//HG6devG8uXLMcbw+uuv8+yzz/Lcc8db/WvVqkXPnj357LPP6NevH++99x7XXXcdN9xwAy+//DKTJk2iQ4eCAyDs3buXu+66iyVLlpCUlMSBA2Xpx6VOFZUWsETk5iDJbxSTdydwZcD650CRLu+RJrpePZ7/7jvIyYE33uDlESPYsGUL3592GmPuuoubJk6kY2I8s+/uwg9/7OM/X/7OuI/W8uriP7ivZ3Nu1MClqtiUKVOYO3cuADt27GDTpk1ERUVx1VVXAdC+fXu++uorADIyMhgwYAC7du0iPz8/6CzFQ4cO5dlnn6Vfv37MmDGD6dOnn/Dzly9fTvfu3f3Hio+Pr8jTUxFGpxcJhdhYGD6c1XfcwYx77+XF995j8EsvcffLL3PnxRfz8hdfcGHz+lwwrB5LN+9n8te/M/ajtbyy+A/uu/hsbuzQWANXNXeymlBlWLx4MV9//TXLli0jLi6Onj17kpubi91u90/1YbVa/VODPPDAA/ztb3+jb9++LF68OOiEj127diU9PZ1vv/0Wl8tFmzZtTlgGEQk6rYiqnnRophCyxcVx19E5wQUAACAASURBVKxZpB09yox77yXaGPYvWgRnn83RZ54h4/ff6XZOfeYMu4C37uhEozqxjJ23hp4TF/PWsnS9x6VCKisri7p16xIXF8eGDRtYvnz5SfMnJHg6Kc2aNavYfIMGDeLmm2/m9ttv96fVqlUr6CjrF1xwAd9++61/KhNtEqzeNGBVAYvdzpBXXuGQw8FbH30ESUk8MHo0Z517LiO6dGH/77/TvUUD5gy7gP/e2ZnGdWMZ99Faekz8hhlLtXOGCo0+ffrgdDpJSUlh7NixdOnS5YT5x48fzw033MBFF11E/fr1i803cOBADh486J9BGGDIkCEMGzbM3+nCp0GDBkybNo3+/fvTtm1bBgwYUP4TUxFLpxcJE//31FM8PmECG44eJRa4LDGR0ZMmceF11yEiLNuynxe+3sSPWw9Qv2Y0d3dPYmDnptSI1lbdU9WpOr3InDlz+Oijj3j77beruiiqkun0Iqeo6x57jPVHjrDu44+5oVkzPklPp/f11yO33IL59VcubF6f9++5gPfu7kLLM2vy78830O2ZRby0aBOHc3XkDBUZHnjgAUaPHs3YsWOruigqAmkNK0wt/+gjtk+fzo3ffssfR4/SMzqaf//1r9w6YQLGYuGX7Qd5edFmFm7YQ61oG4MubModXZOoVzO6qouuKsipWsNS1YfWsKqJLtdcw42ffgo7drCgb18y8/IYNHEinWrW5K177iG5XhRvDOnIpw9046IW9T1DPj3zDU9+so5dWTo6vFLq1KMBK9zVqcN9H33EoT17mDpoEFkuF4OnTaNmzZrsfPRR2tQQXhnYnq9GdOeK5DOZtSyd7s9+wyNzfmPrvmNl+sh5qzLpOmERSaM/o+uERcxblVmx56SUUmWgAStC1G7QgHtmzWL9sWP87dpraVe7Ng2ffhoaN+aR9u1x/rqc/9yYyuKRPbm501nMS8vkkucWc/87v7A6I6vEn+ObdTnzUA4CZB7KYcyHqzVoKaWqnAasCGO12Xjuww9ZnpWFWbWK9RdfzLO//EKbXr0Y0rQpBz/+H0/2bc33j1zCvT2as+T3vVz90vfc9saPLN28j5Pdsyw86zJAjsPFxAUbK/O0lFLqpDRgRbLUVP6fvTsPr+laHzj+XZmDIAiVgUSMkckUVM0/onRAVdGa21LVq9oqHWnvbWmpVG9v0dsaqqVaLVUUvYZSNRNSSY1JZDAkERmIjO/vj3NymuGEkElkfZ7nPM5ee++1195OznvW2muv1ernn/lpyRLG+vnx/fnz+I0dy302Nhx7fxav9mrCntd6MePBloRdSOHJL/bzyKd72HA8luwc84GrqFmXi0rXNE0rLzpg3QMeGTuW/wYHE3X+PI+3bUtCVhaOc+aAhwdnXprCCDfF79N7MnuwD6npWUxeeZSe83ayYm9EoalNbjnrslalfPLJJ7Rq1Yonn3zyptvVqFEDgIiIiFsOt1Qaco93p9tERESglOLf//63KW3y5MksW7bspnnOmjULFxcX/P39Ta+rV68Wu9xayeiAdQ+p4+bGd4cPcy0tjXYbNyJeXvzfwoXU9fRkZrs2dEkM438vdWfRU22pU92Gt346QZcPthP06ykSUtOB4s+6rFUNn332GZs2beKbb76p6KKUuvr167NgwQIyMjJua7+pU6cSHBxsetWuXbuMSqgVpAPWPcjGzg7694etW3n5hRcIaNCAeSEhNOnXD1+HGtxY8TFrnw3guwmdaduoNgu2neb+Odt5fW0Ivq61bmvWZa389OjRw1QDyMzMpEePHnz99dcAXL9+nR49erB69WrAMK5fjx49+PHHHwGIj4+nR48e/PzzzwBcvHjxlsebOHEi586d45FHHiEoKIhZs2Yxb94803pvb28iIiKKVfadO3fSvXt3hg4dSvPmzZkxYwbffPMNAQEB+Pj4cPbsWQAiIyPp3bs3vr6+9O7dm/PnzwMQHh5O586d6dChQ6GHjufOnUuHDh3w9fVl5syZxSoPGIZ96t27t9lxD//73//SoUMH/Pz8eOyxx7h+/fpN85o/fz7jxo0DICQkBG9vb65fv86sWbMYOXIkvXr1olmzZrccnV67OR2w7mFKKd745BP2XLzIueBghrdtS+j166z48ENU06b4f/MZ/+7dkP+91I1BbVxYcyia3vN/Y8PxC8wf6se52f2LPeuydu9ZtGgRzs7O7Nixg6lTp5Y4v2PHjrFgwQJCQkJYsWIFp06d4sCBAzz99NOmprnJkyczatQojh8/zpNPPsk//vEPAKZMmcJzzz3HwYMHue+++0x5bt26ldOnT3PgwAGCg4M5fPgwu4yTpRbHjBkz+Oijj8jOzt80PnjwYA4ePMixY8do1aoVX37598xIQUFBpubAnj17AvDiiy9y5swZ1q5dy9ixY1m8eDHVqlUD4Pjx42zcuJG9e/fy7rvv5ptZWbs9eiC6KqKxnx8rDh/mrdBQ6h44AF99xT/eeosv3nqLKa1b8+KHH/LSjF58vTeSFfsi+V/YJXxdazH+AQ/6+zTE2lL/tqloO3fuNL23trbOt1ytWrV8y7Vq1cq3XK9evXzLeb/0y0uHDh1o2NAw6binpyd9+/YFwMfHhx07dgCwd+9eU61w5MiRvPrqqwDs2bOHH374wZQ+ffp0wBCwtm7dSps2bQBITU3l9OnTdOvWrVhl8vDwICAggJUrV+ZL//PPP3nzzTe5evUqqampBAYGmtZNnTqVV155Jd/2FhYWLFu2DF9fXyZMmECXLl1M6x599FHs7e2xt7enZ8+eHDhwgIEDBxarfFp+xfoWUko5KqV8lVJtc1/F2GeJUuqyUurPPGlzlVJ/KaWOK6XWKqXMNv4qpSKUUiFKqWCl1L0x1tJdormXF3XHjIHt22n60ks4V6/OxydO4DFgAINd6uP886fsebEL7w3yJjU9iynfBtPtwx0s3HmWpOt6zMKqzMrKipycHNPyjRs3bmt/W9u/hw2zsLAwLVtYWJjm1Coo71xY5ubFEhFee+010/2kM2fOMH78+Nsq1+uvv84HH3yQ79zGjBnDp59+SkhICDNnzizWuZ4+fdrwQH+BGlTBcuv5ve7cLQOWUuqfwHHgE+Aj42veTXcyWAb0K5D2K+AtIr7AKeC1m+zfU0T873TMKe3WXvnoI86npnL22DGm9uzJHykpjP/0U2ybevDk+s/ZOrgxS8a0p4lTdT7Y/BedZm/jzXUhnI1LreiiaxXA3d2dI0eOAHDkyBHTHFWl6f777+fbb78F4JtvvuGBBx4ADBM/5k3PFRgYyJIlS0hNNXwmY2JiuHz58m0ds2XLlnh5ebFhwwZTWkpKCg0bNiQzM7NYHU6SkpKYMmUKu3btIiEhgTVr1pjW/fTTT9y4cYOEhAR27txJhw4dbqt82t+KU8MaCniKSA8R6Wl89brVTiKyC7hSIG2riOT+lNoHuN52ibVS5+7ry9zt2wkLDWX1u+9i2bkzUe+/T40mTfh3rza8ln2MTS904SHfhnx3MJreH/3GmKUH+O1UHDlFPM+l3Xsee+wxrly5gr+/PwsXLqR58+alfoxPPvmEpUuX4uvry4oVK1iwYAEACxYs4D//+Q8dOnQgKenvkVv69u3LiBEj6Ny5Mz4+PgwZMsTsRJC38sYbbxAdHW1a/uc//0nHjh3p06cPLVu2zLdt3ntY/v7+REREMHXqVCZNmkTz5s358ssvmTFjhilwBgQEMGDAADp16sRbb72Fs7PznVwajWKM1q6U+gF4TkRu72eLYV93YIOIFHowQyn1M7BaRL42sy4cSAQEWCwin9/kGM8CzwI0atSoXWRk5O0WUzNj56pVDBk3jpQbN8gAAmxtGdK7NyOC/sOa85l8vT+SuJR0PJ2qM+Z+dwa3ddVzc5UyPVp75Tdr1ixq1KhR6J5XVVERo7XPBo4qpbYopdbnvu7kYLmUUm8AWUBRde0uItIWeBB4XilV5B1UEflcRNqLSHsnJ6eSFEvLo8fw4cSnpRETHc2Hw4cTlpXFq5s2EezVlClLZ/F7F2uChvpR3daKt346QafZ23j351Ai7nDAXU3TtFspTg3rBLAYCAFMdyVF5LdbZm6mhqWUGg1MBHqLyM0fbjBsPwtIFZFb3je7l+bDuttcvnyZL99/nxnZ2agVK2idlESOjQ2znxpJwxde55uwJDaFXCBbhB7NnRh9vzvdmjlhYaFvMN8pXcMquZCQEEaOHJkvzdbWlv3791dQiaqW0q5hFSdg/SYi3e8o8wIBSynVD5gPdBeRuCL2qQ5YiEiK8f2vwLsisvlWx9MBq3xkJSXRpnVrIi9cICUnBxegh4cHU96dze8N/Fl5IIq4lHTc61bjqU6NebydG7WqWVd0sSsdHbC0yq4imgQPK6VmK6U632a39lXAXqCFUipaKTUe+BRwAH41dllfZNzWWSm1ybhrA+B3pdQx4ACwsTjBSis/VrVqERIdTcKNG6ydPx+3+vX5Jjycl0cOY+qLg/nd7jjz+7lTt4Yt/9oYRsfZ/2PGD8c5EVv8aU40TdMKKk4Na4eZZClOT8HypmtYpWPd0RjmbjlJ7NU0nGvbMy2wxU1Hu8jKymLJwoV0uXqV1hs38v7+/bwLTGrRgr5T32BnXV/WHYvlRmYObRvVZmTnxjzo3RC7AmMWavnpGpZW2ZV7k2BlogNWyeVO4Jh3Tix7a8vbGk/wnUmTWLBkCUnp6eQA7WxsGPp/gdR69k1Wn77Oufhr1Kluw+PtXBke0Aj3etXL6GwqNx2wtMquIu5hvW0uXUTevZMDliUdsEquy5ztxJiZ+8qltj17ZtxepTrq9GmWvvYa//zxR0SEFKWwe/BBfun3BOtrteLXv+LIzhG6NqvHkx0b0btVAz0EVB46YGmVXUXcw7qW55WNoau5+50cTLv7leYEjm7NmvH2mjWcjYjgx0WLsH/tNa4dPszAf4zm17GdeHb/AiZ6WnDmcioTvz5Clznb+WjrSaITb9l5VCsnej6s/PLOh+Xt7c369fmf8PHz82P48OG3LJt2Z275pKeIfJR3WSk1DyjRc1ja3cu5tr3ZGlZJJnBs1KgRjSZMACBh3Di8AwNJvniRGdu3Yrt9K97VqvGP0S8Q0uRhPt1xhk93nKF7cydGBDSiV8v6WOlaV4X57LPP+OWXX/Dw8KjoopS63PmwJkyYgI2NTbH3yx38NiwsjK5du3L58mUsLCwICwsjJyeHXbt2ce3aNapX103dpe1OhiaoBjQp7YJod4dpgS3M3sMqrQkcG3t6cuTMGUSEo9u3M/XZZ9l17hxjF37AUpsgdgc+xMa2geyIteXZFYep72DL4+1dGdahEW51qpVKGSqrHj16FEobOnQokyZN4vr16/Tv37/Q+jFjxjBmzBji4+MZMmRIvnV5R283J+98WOPGjSMpKSnfqA3e3t5s2LABd3f3W5Z9586dzJw5kwYNGhAcHMzgwYPx8fFhwYIFpKWlsW7dOjw9PYmMjGTcuHHExcXh5OTE0qVLadSoEeHh4YwYMYKsrCz69cs/ROncuXP57rvvSE9PZ9CgQbzzzju3LA8Y5sPq0qULy5cv55lnnsm37r///S+ff/45GRkZNG3alBUrVpimC8nVqlUrrKysiI+Pp379+qxcuZKRI0cSFhbG+vXrdU2rDBRn8NsQ4+jqx40PEZ8EFpR90bSKMLCNS7lM4KiUom3v3uw8c4bjx47x7L59MGECUzb9xAfvTMD6nQEMPraUFjZpLNx5lq4f7uCpL/bz87FY0rOyb30ArcT0fFjm58PKtX//fiwsLMgdYWf16tU88cQTDB8+nFWrVt329dFurTg1rIfyvM8CLuUZwFa7Bw1s41JukzYqpfDx9TUsdOzI5NatWffFF5wKCyNo8w9Ybf6BDjVrM3TaAr6/ZMMLq47iWM2aQW1ceaKDGy3ucyiXct4NblYjKjgfVkEF58OqCPfKfFhBQUF8/fXXODg4sHr1apRSHDx4ECcnJxo3boyrqyvjxo0jMTERR0fHO7pWmnnFuYcVqZSyxPBArxXgrJRCRM6Xeem0KmfchAmMmzABEWHXunUMfuop0jLTefGt0TxvZc0THi2wenAcK/ZmsWRPOH6utRjawY2H/ZypaadH0yhLd/N8WBOM90jvxOuvv86QIUPyBbkxY8awbt06/Pz8WLZsWb5gb24Cx1WrVvHXX3+ZmkeTk5P54YcfePrpp++4XFphxWkSfAG4hGGIpI3G14ab7qRpJaSUovugQcSnpnIgKQmOH2fjgP6sPf0n33/yEvZzBxKw+z8kRUXwxto/CXjvf0xdHcwfZ+P1lCdlRM+HZV5OTg7ff/89x48fJyIigoiICH766SfdLFgGitMkOAVoISIJZV0YTStIKYW1tTX4+ND/u+9YvnIlcXv38u2aNXz/xy/wxy/MatSMzBHT+elPWHs0BldHex5r68qQdq5VvqNGaXrsscf46quv8Pf3p0OHDmU2H9a4ceOYO3euqdMFGObDGjFiBAsWLOCxxx4zbd+3b1/CwsLo3LkzYOjK/vXXX1O/fv3bOu4bb7xhalaEv+fDaty4MT4+PjedY2vXrl24uLjg4vJ3M3q3bt0IDQ3lwoULpmZQreSKOzRTn8pw30o/OFy1LPz4Y/4zbx7/a9qU+3bv5mkRdtWsi3O/cUS43Q+WVnRqUofH2rrS36dhpZuvSz84rFV2FTHSxZdACwxNgem56SIy/04OWJZ0wKrCLl6klZ8fZ+PiyBTBUSncXJoh3Z8k2bUd9taWPOhzH0PautKpSd1bTntyu+MplgUdsLTKrrQDVnF+cp43vmyML027+9x3H6EXLxIfH8++H35g+Sef8ENYGE7fzGRTYx9+CBzFDzuj+eFwNC617RnYxoXBbV1pWr/waAgFx1OMuZrGaz+GAJR70NJKRs+HdW/Rg99q96Ts7Gw2btiAZXg4A6KiOLx8Oe0TEnCytsWlbV/ifQdgWccVX9daDGrjwsN+ztSrYei1VprjKZaErmFplV1F1LA0rdKxtLTkkUcfNS3L0KG0HTkS26Qk9u3/Gdn/Mw7WtsQOmMw70T3518Ywujd3YmAbF7PBCu5sPMXKKvF6BpeSbpCRnYONpQUNatnhWE03sGgVSwcsrUpo37Ejh0+dAiAmIoJJw4bxy4EDLN66kBq/r2F6g0Zstq/N1g6Dsa7phLl2h5KMp1iZJF7PICYxjRxj60tGdg4xiYZgrYOWVpHKNGAppZZgGCnjsoh4G9PqAKsxjPgeAQwVkUQz+44G3jQu/ktElpdlWbWqw8XdnZ/27SM9PR1bEdi8mcMjRnAhLQ0O/YxzHRfSW3bF1q8f1g51wfjAao8W9Sq45OXjUtINU7DKlSPCpaQbOmBpFarIgKWU+jeY/aEJgIj8oxj5LwM+Bb7KkzYD2CYic5RSM4zL0wscuw4wE2hvLMNhpdR6c4FN0+6UaeSFgQM5EhnJH9u3c+Knn/jyx/XE/vEt9nu/Y+jgN/jdox0Z2ZmsPhBFneq2POLnTLMG9+6QUBnZObeVrmnl5WYjXRwCDt/kdUsisgu4UiD5USC3trQcGGhm10DgVxG5YgxSvwL9zGynaaXCycmJR594gtdXriRr8tfU7fg4/q26M+TPHfz42ShigoYS99k43p8zl57vrKFf0G98tvMMUVfuvbm7bApM57Ltlw34uTkSfe5MqR3jySefpEWLFnh7ezNu3DgyMzMBSEpK4uGHH8bPz4/WrVubHhwuyvLly2nWrBnNmjVj+XLzjTB557Dy9/dn06ZNgGFOLHt7e1P6xIkTTfusWrUKHx8ffH196devH/Hx8WbzvnDhgmlMRIB+/foRExOTb5sxY8bg4uJCerrhqaD4+HjTEE6RkZG0a9cOf39/WrduzaJFi/LllXsdJk6cWGiA3rz27dtHx44d8ff3p1WrVsyaNQuAZcuW4eTkZDrHUaNGARAcHEynTp3w9/enffv2HDhwoFCeERERhcZYNGfnzp388ccft9yuVIhIsV6AA1CjuNvn2c8d+DPP8tUC6xPN7PMK8Gae5beAV4rI/1kMwfVQo0aNRNNKqsmMjdJ4+oa/XyM+lJrVaouLtb1gqPGLrb2D1Hv4VWk8fYM8+u9d8t9dZ+XC1bRSLUdoaOhtbb/2SLTcP3ubuE/fIPfP3iZrj0Tf0XGvXEuXkOirciwqUY5FJUrfhwZK24DO8urrb952XllZWWbTN27cKDk5OZKTkyPDhg2Tzz77TERE3nvvPXn11VdFROTy5cvi6Ogo6enpZvNISEgQDw8PSUhIkCtXroiHh4dcuXKl0HYzZ86UuXPnFkoPDw+X1q1bF0rPzMwUJycniYuLExGRadOmycyZM82WYcmSJTJv3jwREbl+/bp06NCh0DajR48WNzc30znGxcVJ48aNRUQkPT1dbty4ISIiKSkp0rhxY4mJiRERkaSkJBERycnJkcGDB8uqVavMlkFEpHnz5hIcHCwihmt+4sQJERFZunSpPP/884W279Onj2zatElEDP8X3bt3L7TNjh07ZMCAAUUeM1dR11fE/GcYOCS3GUdyX8UZS9BbKXUU+BMIVUodVkq1Lr2Qaf6wZtLMNk+KyOci0l5E2ucO869pJZFd8FEPNy8cX/gaq5e+53RICIM7dSIjLYX39ixn+s6lRPywhBefn0Dbqf/l8f/s5qu9EcSlpJvNu6zkPjsWczUN4e9nx9YdjbnlvgU5VrPBxdEeG0sLrl9LJfjQfhZ9/jk//fC9aZudO3fSrVs3Bg0ahJeXFxMnTjQNjFujRg3efvttOnbsyN69e80eo3///iilUEoREBBAdHQ0YBiKKyUlBREhNTWVOnXqYGVl/s7Fli1b6NOnD3Xq1MHR0ZE+ffqwefPm2z7fgnK/HK9du4aIkJycjLOzs9ltN2/ezIMPPggYrom5OcsAXnzxRYKCggoN8mtjY2Nqmk5PT883uHDNmjUByMrKIiMjw+zgv7kuX75sGgLK0tISLy+vm56jUork5GTAUKs1d34zZsxg9+7d+Pv7ExQUxPz58xk3bhxgeL7N29ub0NBQFi1aRFBQEP7+/uzevfumxy2p4kzl+jnwkog0FpFGwMvAf0twzEtKqYYAxn/NjVQZDbjlWXYFYktwTE0rNpciegO61Lanqbc3P+zdS0pqKs/GRvLc2+OwOL6eayH/48LSf7Dx9cd4/rmJ+E4I4olPf2PFvshyCV5zt5zMN+kmQFpmNnO3nLyj/Byr2dCyYU3OHNzJQ/0fpIOfN3Xq1DENfgtw4MABPvroI0JCQjh79qxpWpBr167h7e3N/v37TYPXFiUzM5MVK1aYJmWcPHkyYWFhODs7myZ4tLAw/zUVExODm9vfXxOurq6FmuNyffrpp/j6+pqm/cgVHh5OmzZt6N69u+nL1tramoULF+Lj44OzszOhoaGMHz++UJ7Z2dmcPHnSFBx++eWXQpNL5mrUqBEPPPAAK1asKLQuKioKX19f3NzcmD59er7gERgYSP369XFwcCg0AWdeU6dOpUWLFgwaNIjFixfnG0l/9erVpibB3CbWjz/+mGnTpuHm5sYrr7zC7NmzC+U5Z84cunbtSnBwMFOnTuXFF1/kzJkzrF27lrFjx7J48WLTj5WpU6cSHBxM165diyxjaShOwKouIjtyF0RkJ1CSuZ/XA6ON70cDP5nZZgvQVynlqJRyBPoa0zStzE0LbIG9tWW+tIKzLlevXh1sbaF/f36LiGDLpk0sevFFutayI/XYFi6vep1Lh4/z1ro/afPSUh4P+h8r9kZwOeX2puQorqKeESvps2OrVq1i2LBhAAwbNizfCOQBAQE0adIES0tLhg8fzu+//w4YfuHnHaD2ZiZNmkS3bt1MX3RbtmzB39+f2NhYgoODmTx5sqkmUJCYGfTAXC3kueee4+zZswQHB9OwYUNefvllABo2bMj58+c5evQo8+fPZ8SIESQnJ5OZmcnChQs5evQosbGx+Pr6mv1C379/Px07djQt79mz56YB+vXXX2fu3Ln5alEAbm5uHD9+nDNnzrB8+XIuXbpkWrdlyxYuXLhAeno627dvLzLvt99+m0OHDtG3b19WrlyZL3A+8cQTBAcHExwczNixYwFYuHAhQUFBREVFERQUZDYgF2RhYcGyZcsYOXIk3bt3p0uXLrfcp7QVJ2CdU0q9pZRyN77eBIo1r4BSahWwF2ihlIpWSo0H5gB9lFKngT7GZZRS7ZVSXwCIyBXgn8BB4+tdY5qmlbnbnXXZwcGBvg8+yISgIDZHRvLtypXM/ccL7GgQw/pfPyD2i0n8OK0/E58eg/dTMxk8ez3L94RzKbn0gldRz4iV5NmxhIQEtm/fztNPP427uztz585l9erVpkBRMDjkLtvZ2WFpaVkov4Leeecd4uLimD//72FJly5dyuDBg1FK0bRpUzw8PPjrr7/M7u/q6kpUVJRpOTo62mzTVoMGDbC0tMTCwoJnnnnG1MHA1taWunXrAtCuXTs8PT05deoUwcHBgGGSSaUUQ4cONdupIG+N6ty5c7i5uWFjU3S3/6ZNm+Lv7893331ndr2zszOtW7cu1KxmZ2fHI488wk8/mftt/zdPT0+ee+45tm3bxrFjx0hIKHqCjeXLlzN48GAAHn/8cbOdLsw5ffo0NWrUIDa2Yhq8ihOwxgFOwI/AWuP7scXJXESGi0hDEbEWEVcR+VJEEkSkt4g0M/57xbjtIRF5Os++S0SkqfF1865CmlbKBrZxYc+MXoTPGcCeGb2KPYagUoonhg/npQULUHPm4Lp1LY/27kWgpwe2p/cSt/5D1r7+KJOfn0TH97fx2Aeb+eK3M0Qnlqy3YXFqhbdrzZo1jBo1isjISCIiIoiKisLDw8NUkzpw4ADh4eHk5OSwevXqWzb/5fXFF1+wZcsWVq1ala/Jr1GjRmzbtg2AS5cucfLkSZo0aWI2j8DAQLZu3UpiwNQGIAAAIABJREFUYiKJiYls3bo138zAuS5cuGB6v3btWry9vQGIi4sz9bw7d+4cp0+fpkmTJri4uBAaGkpcXBwAv/76q9khsrZt20bv3r2BmzcH5vXGG28wb94803J0dDRpaYZacGJiInv27KFFixakpqaayp2VlcWmTZto2bJlkflu3LjR9EPi9OnTWFpaUrt27SK3d3Z25rfffgNg+/btNGvWrNA2Dg4O+aZVSUpKYsqUKezatYuEhATWrFljdrsydae9Ne7GV7t27Qr1SNG0u0VWVpYsnjNHGtSsKe/4tJNPHhgubXqMFYtqtaRmxyHS7bkF8u9NIXL6UoqIVFwvwVzdu3eXX375JV/aggULZOLEibJjxw7p2bOnDB06VFq1aiUTJkyQ7OxsERGpXr36LfO2tLSUJk2aiJ+fn/j5+ck777wjIiIxMTHSp08f8fb2ltatW8uKFStums+XX34pnp6e4unpKUuWLDGljx8/Xg4ePCgiIk899ZR4e3uLj4+PPPzwwxIbGysiImvWrBEvLy/x9fWVNm3ayPr16037L1y4UFq2bCk+Pj7y0EMPSXx8fL7jXr58WXr27GlafuihhyQ8PNxsGUePHi3ff/+9aXnQoEGmXoJbt24VHx8f8fX1FR8fH1m8eLGIiFy8eFHat28vPj4+4uXlJZMnT5bMzMwir8MTTzwhzZo1Ez8/P2nXrp1s3rxZRIruJbh7925p27at+Pr6SkBAgBw6dEhERA4ePCjjx48XEZGMjAzp1auX+Pr6yvz582Xs2LGyYMECERE5f/68eHp6yqVLl+TkyZPi4+Mjfn5+smvXrnzHKe1egsWZXqQ98DqG7umm7joi4luWgfRO6MFvtUolOZnpI0fy0c8/kyOCABbVamFT34O2D0/io1Ed8PX1xt7a8qY9xCrCzp07mTdvXr5ZequSr7/+mujoaGbMmEF6ejpdunRBf/cUVhGD334DTANCAP2ou6aVlpo1+eCnn/hnRgZXLl1i07//zeufLeRyRDANzoeTmtGWk+eisERwrF0bx9oOVLO1wuIuC15V0VNPPWV6b2trq4NVOSlODet3ESl+43QF0jUsrbS8uS6EVfujyBbBUimGd3TjXwN9yvy4OTk5RISH0yQjgxNJydywskKMjyAqa1ssrWxxqOFAvXp1qGFvg+UtJqKsaIMGDSI8PH8frQ8++MDsvaai6Dmt/vb888+zZ8+efGlTpkwx9f6721TEjMO9geHANvLPOPzjnRywLOmApZWGN9eF8PW+84XSn+rUqFyCVq6wsDA8PDxIS00lLSmJKymp3MjKRFlYYl3fAyWCTXoKdRxrU7tWDaytitOHStPKh4jw119/lXuT4FigJWDN302CgqHXoKbdc1btjyoyvTwDlp2dHampqdStWxfHevW4LyeHxMRELDIysM5OI/76DeJTEki5epnzNvbY2thRq0YN6tWrg52t1V1336uy0XOC3TkRISEhATs7u1LNtzgBy09Eyu+vVNMqWKGhmW6RXlZcXV2Jjo42da8uVJ7sbNLT0sjJyuZG5hWyc3KIBpRNNWxsq2FrIdjZWGFnb6uD1226npHF1euZ5OT5L49RULuaNdVs9DSCxWFnZ4erq2up5lmcK79PKeUlIqGlemRNu0tZKmU2OFmW85e+tbU1Hh4exd5+y/r1/OutmQxq25vQHCe+O7CBlL9+x965Jd5NvBjcoytjJj7JfS56zM1b6TJnu9mZp11q27NnRq8KKJEGxQtYDwCjlVLhGO5hKUDuxm7tmlYahnd0M3sPa3hHNzNb3z0CH3mEwEceMS23fCOFz5dHkXwjmYO//8jB33/ktdmv8n+jZvNgozp079KKNr0CsLDU974KKquhrrSSKU7A0vNQaVVK7n2qiuglWJpeee9fvPLevwC4GBnJqOFPEXY2AgdLWz69XpdXH3sYlZ2Ff8sOPNqlI89MHkuD5oZRJdYdjWHulpPEXk3DubY90wJbFHu0j3uBc217szWskgx1pZXcLXsJVia6l6CmFU/C6Qg6/19vLl9NJjk1EcnJBqWo79yc5x59lj+vK47XdSfDytDJwN7a8qbjKd5rcqdryTsCflW7BmWlrHsJapp2j6nbzJ1TkWcBuJp4lU9mz2f+ok+xqlaLZQ4tyJR4Li4YToN6bjR18UJ5BjDvF6sq82Wde55VuZZ5N9I1LE3T8mn10hocQndxdMcX5CgLctKvAWBpZcvgzg8yY+gg/Pp3xbJJ8TuEaFouXcPSNK3U1KlfhxibQFz8AxHJwS4yhNTD67kYfpSd9bw4EF2XtBGvknR0I7292jIysCePTnoG+0aNKrro2j1Odw/SNC2fvFOVKGVBursfNYfN4oeD5zj51dv8u6sTLpJMpuSw6fg+hn/wL6q5e1CzmgOrn51O6tqfISmpgs9CuxfpgKVpWj43m8DSsYYtDw8I4Mj+LWSlp3E4NJwp0+ZQ9z53rgm8Wqsz/n/k4NikNU4OjrzQoy97gj4mqxIGsHVHY+gyZzseMzbSZc521h2NqegiVXnlfg9LKdUCWJ0nqQnwtoh8nGebHsBP/D2z8Y8i8u6t8tb3sDSt4qRnZXP41CV27/6T92dOIDU5gZw0w8R+Sik8atdny3Mv4NmzI3TujKpevYJLXDTdS7DslOQeVrnXsETkpIj4i4g/0A64jmEm44J2525XnGClaVrFsrWy5H4vZ6ZP6EvSxXDi4uL5evMBHh45DRuHesTUvI//y/anw3fhWNeshUfterzRqw97P/mEjMTEii5+PnO3nMwXrADSMrOZu+VkBZVIg4pvEuwNnBWRyAouh6ZppaxOdRueDOzA+q8+5EbSZU4d/oPZ/ZvhVc8CS4e6RIkF7+/4H/dPmYJtnTr0d29Jwoy3yNywgbRLlyq07OYeGr5ZulY+KjpgDQNWFbGus1LqmFLqF6VU6/IslKZppa9R3WoM79acr94fT9qVixwPO8NHq38j4KHx2Dg2ZL9XIO3ohM8/l1HtvvtoUasu0zrdz7rXXuPKmTPlWtaixo0s7/Ektfwq7DkspZQNEAu0FpFLBdbVBHJEJFUp1R9YICLNisjnWeBZgEaNGrWLjNSVNU2rbLKycwiJSeKPsAt8981K9v2yAixtyLh8DsQwq9E/fbvwwv1tiXJ3wa5zZ5p261Zm5XGfsbHIdRFzBpTZcauCMp3AsawopR4FnheRvsXYNgJoLyLxN9tOd7rQtHtDelY2x6KS2HnsHKu+/JyTx/ZSd9DrWNnV4MoXk0i+Eo2LXXV6uDjTtGVzuj/2GD1GjUJZWpbK8fVo7WWnsgasb4EtIrLUzLr7gEsiIkqpAGAN0FhuUVgdsDTt3nQjM5vgqKvsOxPPt8uWciJ4L9mZ6aRHh5Jzw9ATca1/bx5o5MjitCTcOnTgiWnTsK1d+46Op3sJlp1KF7CUUtWAKKCJiCQZ0yYCiMgipdRk4DkgC0gDXhKRP26Vrw5YmlY13MjM5ljUVfaeiePH774n7MwZqncaiohwfu6jIDlYKwv8HWpi51CdwX368OLs2XDffcU+RlUfsb6sVLqAVVZ0wNK0qikjK4c/Y5PYf+4Km/+3i4OHD3It4SI3ok+QceEUjtXr8EmzjvhlX2FoZBgDOnTgyaefxmfgQKxKeRp37eZ0wDLSAUvTNIDsHOGvi8kcDL/C7yHh7A85Q4qDC+mXznFx+RQwfu/ZKYWNhQWvd+3K9JdfJicgAOXkhNK9AcuMDlhGOmBppUU3B91bRITzV65zIPwKB87Fs/vAcc6eOsH10/tIO3uQVl49eMqxIRdO7OA/cRH0c3Ghb+fOePXsid+jj1LfRf/flxYdsIx0wNJKg77hXjUCdkJqOocjEzkYcYVD5xL4MzaZq3/uJHHXcqyys0i/9vfoGz+2bMmgAQPY5eDA5QYNGPT001ha6cku7oQOWEY6YGmloap3aa6qAftGZjbHo5M4HJnI4cgr7Dt2kpjgnaSdO4j7gy8QkHiRXRs/JjI1AUcLCwLq1sWhfn0atWzJ+599hm39+hV9CpWCng9L00pRbBHD7xSVfq+52Th693LAsrO2JMCjDgEedQBPRNoTHj+QI+evcjgykSMRV0i3tsPh1F4yb6SyJyaU1BMn4MQJRu3cj0+9Ggy8lkqWgwMvT5pEuyFDqH0bvRK1W9MBS9MKcK5tb7aG5VzbvgJKU/6qesDOpZSiiVMNmjjVYEg7VwCSb9zPsajRHIm8ytGoRA6diiEuPJRH3f1xyM7g3GdjuR4dzS8vvAAvvICtUrSuW5fDs2dDhw6csbGhSYsWWFhU9Kh4lZMOWJpWwLTAFmabxKYFtqjAUpWfqh6wb6amnTVdmznRtZkTYOjMcS6+D8HnDQHsqNvPnDgXQ9qF06RfOMWNY1uIzbHhi8Ub8J75EffH/kUdKyv6e3rSrl07EhwcePIf/6CFl1cFn1nloO9haZoZVaHTQVGq6j2s0pKWkU1ITBLBUYkcPX+VY1FXiU26QU5mOgk/z8U2NYGMKzFcS78OQICFBfs7dSKuVSsG7drF0yNH8tjkyTg4OlboeZTV34DudGGkA5amlY6qHLDLwuXkGwRHXeVY9FWORydx9HwiiXEXuHHmINVq1adTvfuw2beOlcFbAFCAm40NV4GPhg3j6alTSXFzI1Mp6tSpU+blXXc0hmlrjpGZ/Xd8sLZUzB3iV+LPgQ5YRjpgaZpWGeTkCBEJ1zgenURw1FWOR1/lRGwy1xLjyLh0BotLZ5GzB7ly6RzP1GvMa+nXWJwSx3s5OfR2duYBf3/qNG+OrYcHo599FrtSHq2jzbtbSbyeWSjdsZo1R9++5XjlN6UDlpEOWJqmVVZZ2TmcupTK8eirhMQkERKTRNiFZDKycgwjb5zcRfLulVjdSCX+2lVyv7l/dXXl/7p25f0rV9h26RIfzZ9P6wcewNLS8o47d5Tl9Cq6W7umaVolZ2VpgZdzTbycazLMmJaelc2pi6kcj7lKSLQbIT0f4uTFFOxupJF+4SQSeZTPfR7g4MVwVu7ayIm0ZNr06oUNUMPaGktra8785z/U7NyZw0lJONarR5MmTSryNEtEByxN07S7lK2VJT6utfBxrQUdDWnpWdmcvJhCSEx7/ox5mBOxSSyt15z0Fr1oeCUGi8tnqR4bSuLpQ6RdSyTy1XdokRDNQzlZXFGK/3N1xbdVK2IAv65defnNNyv0HG+HbhLUNE2r5DKycjh9OYUTscmciEniRGwyoReSuZ5h6OlpowT1+woyzh0l6+plLlxPIhtwAJI9PMDXF/cdO2jh7s5LL7zAK2F2xCdcwdqxIRa21UzHqeh7WLqGpWmaVsnZWFnQ2rkWrZ1rQXs3wDBifUTCNUMQi00itOlLhMYmk3AtA5fsTDLio6h3I56J9RrQKjKUq6nX2Xr8OFufecaUr6e9A6M7DWVjy65crFmPAb4NK+oUAR2wNE3T7kmWFgpPpxp4OtXgET9nwPCg8+WUdEKNQSzsQgqhF5LZUqMxtb0exOF6EtYJ4ViEH+fG2YN4KgseCdvFYZdWXKxZjx1/xVXoOVVYwFJKRQApQDaQVbCKqAwT0iwA+gPXgTEicqS8y6lpmnavUErRoKYdDWra0bPl34P1XkvP4q+LKYRdSCbsgg/f7PfHqtsoTgKPApbZWQBmR0ApTxVdw+opIvFFrHsQaGZ8dQQWYrrtqGmappWW6rZWtGvsSLvGhtE1vj0QRXae/g3ZloZQYVnBE1vezSMwPgp8JQb7gNpKqYptQNU0TasCsovojFdUenmpyIAlwFal1GGl1LNm1rsAUXmWo41pmqZpWhlyKWKg46LSy0tFBqwuItIWQ9Pf80qpbgXWm6t7FgrvSqlnlVKHlFKH4uIq9oagpmnavWBaYAvsrS3zpd0NMxZUWMASkVjjv5eBtUBAgU2iAbc8y65ArJl8PheR9iLS3snJqayKq2maVmUMbOPC7ME+uNS2R2GoWd0No/VXSKcLpVR1wEJEUozv+wLvFthsPTBZKfUths4WSSJyoZyLqmmaViUNbONS4QGqoIrqJdgAWGvouY4VsFJENiulJgKIyCJgE4Yu7WcwdGsfW0Fl1TRN0+4CFRKwROQc4GcmfVGe9wI8X57l0jRN0+5ed3O3dk3TNE0z0QFL0zRNqxTuqdHalVJxQGQpZVcPKGoUjqpCXwN9Dar6+YO+BqV9/o1F5I66dN9TAas0KaUO3ekQ+PcKfQ30Najq5w/6GtxN56+bBDVN07RKQQcsTdM0rVLQAaton1d0Ae4C+hroa1DVzx/0Nbhrzl/fw9I0TdMqBV3D0jRN0yoFHbA0TdO0SqFKBiylVD+l1Eml1Bml1Awz622VUquN6/crpdzzrHvNmH5SKRVYnuUuLXd6/kqpPsb5y0KM//Yq77KXlpJ8BozrGymlUpVSr5RXmUtbCf8OfJVSe5VSJ4yfB7vyLHtpKMHfgbVSarnxvMOUUq+Vd9lLSzGuQTel1BGlVJZSakiBdaOVUqeNr9HlUmARqVIvwBI4CzQBbIBjgFeBbSYBi4zvhwGrje+9jNvbAh7GfCwr+pzK8fzbAM7G995ATEWfT3lfgzzrfwC+B16p6POpgM+BFXAc8DMu161ifwcjgG+N76sBEYB7RZ9TGV0Dd8AX+AoYkie9DnDO+K+j8b1jWZe5KtawAoAzInJORDKAb4FHC2zzKLDc+H4N0FsZhpZ/FMMHNV1EwjGMJF9wHq+73R2fv4gcFeM8ZsAJwE4pZVsupS5dJfkMoJQaiOEP9EQ5lbcslOQa9AWOi8gxABFJEJHscip3aSnJ+QtQXSllBdgDGUBy+RS7VN3yGohIhIgcB3IK7BsI/CoiV0QkEfgV6FfWBa6KAcsFiMqzHG1MM7uNiGQBSRh+RRZn37tdSc4/r8eAoyKSXkblLEt3fA2M87dNB94ph3KWpZJ8DpoDopTaYmwuerUcylvaSnL+a4BrwAXgPDBPRK6UdYHLQEm+zyrku7Ci5sOqSMpMWsG+/UVtU5x973YlOX/DSqVaAx9g+KVdGZXkGrwDBIlIqrHCVVmV5BpYAQ8AHTDMVbdNKXVYRLaVbhHLVEnOPwDIBpwxNIftVkr9TwzTJlUmJfk+q5DvwqpYw4oG3PIsuwKxRW1jrPbXAq4Uc9+7XUnOH6WUK7AWGCUiZ8u8tGWjJNegI/ChUioCeBF4XSk1uawLXAZK+nfwm4jEi8h1DJOtti3zEpeukpz/CGCziGSKyGVgD3BXjLV3m0ryfVYh34VVMWAdBJoppTyUUjYYbqauL7DNeiC318sQYLsY7jSuB4YZew95AM2AA+VU7tJyx+evlKoNbAReE5E95Vbi0nfH10BEuoqIu4i4Ax8D74vIp+VV8FJUkr+DLYCvUqqa8Yu8OxBaTuUuLSU5//NAL2VQHegE/FVO5S5NxbkGRdkC9FVKOSqlHDG0tmwpo3L+raJ7qlTEC+gPnMLQQ+YNY9q7wCPG93YYeoCdwRCQmuTZ9w3jfieBByv6XMrz/IE3MbTdB+d51a/o8ynvz0CePGZRSXsJlvQaAE9h6HTyJ/BhRZ9LeZ4/UMOYfgJDoJ5W0edShtegA4ba1DUgATiRZ99xxmtzBhhbHuXVQzNpmqZplUJVbBLUNE3TKiEdsDRN07RKQQcsTdM0rVLQAUvTNE2rFHTA0jRN0yoFHbA07Q4ppWorpSblWXZWSq0po2MNVEq9XYr5zavMo+1rVZPu1q5pd8g43cQGEfEuh2P9geHZmPhSyq8x8F8RqazDa2lVkK5hadqdmwN4KqWClVJzlVLuSqk/AZRSY5RS65RSPyulwpVSk5VSLymljiql9iml6hi381RKbVaG+cV2K6VaFjyIUqo5kJ4brJRSjyul/lRKHVNK7TKmWRrLcFApdVwpNSHP/q8a5246ppSaAyAikRgG872vzK+SppWSqjj4raaVlhmAt4j4g6nGlZc3hjnE7DCMBjBdRNoopYKAURiGdvocmCgip5VSHYHPgIJNdV2AI3mW3wYCRSTGOFwWwHggSUQ6GKd82aOU2gq0BAYCHUXkem6gNDpizPuHO74CmlaOdMDStLKzQ0RSgBSlVBLwszE9BMNYfDWA+4Hv84z8bm5+sYZAXJ7lPcAypdR3wI/GtL7GPHNnha2FYazL/wOWimGQWiT/NBiXMYw4rmmVgg5YmlZ28s4VlpNnOQfD354FcDW3hnYTaRgCEAAiMtFYGxsABCul/DFM9/CCiOQbgFQp1Y+ip32wM+ataZWCvoelaXcuBXC4051FJBkIV0o9DmAc/dvPzKZhQNPcBaWUp4jsF5G3gXgM0zxsAZ5TSlkbt2luHEl8KzBOKVXNmJ63SbA5hsFrNa1S0AFL0+6QiCRguFf0p1Jq7h1m8yQwXil1DMPo3wWnaQfYBbRRf7cbzjV2ovjTuO4Y8AWGkcOPGNMXA1YishnDlBGHlFLBwCsAxsDWFDh0h+XWtHKnu7VrWiWglFoA/Cwi/yul/AYBbUXkrdLIT9PKg65haVrl8D5QrRTzswI+KsX8NK3M6RqWpmmaVinoGpamaZpWKeiApWmaplUKOmBpmqZplYIOWJqmaVqloAOWpmmaVinogKVpmqZVCjpgaZqmaZWCDliapmlapaADlqZpmlYp6IClaZqmVQo6YGmapmmVgg5YmqZpWqWgA5amaZpWKVhVdAFKU7169cTd3b2ii6FpmqYV4fDhw/Ei4nQn+95TAcvd3Z1Dh/QEqpqmaXcrpVTkne6rmwQ1TdO0SkEHLE3TNK1S0AFL0zRNqxTuqXtYmnYvyczMJDo6mhs3blR0UTTtttnZ2eHq6oq1tXWp5akDlqbdpaKjo3FwcMDd3R2lVEUXR9OKTURISEggOjoaDw+PUstXNwlq2l3qxo0b1K1bVwcrrdJRSlG3bt1Sbx3QNaxysu5oDHO3nCT2ahrOte2ZFtiCgW1cKrpY2l1OByutsiqLz64OWOVg3dEYXvsxhLTMbABirqbx2o8hADpoaZqmFZNuEiwHc7ecNAWrXGmZ2czdcrKCSqRpxbd27VqUUvz111+llueTTz5JixYt8Pb2Zty4cWRmZgKQlJTEww8/jJ+fH61bt2bp0qU3zWf58uU0a9aMZs2asXz5crPbzJo1CxcXF/z9/fH392fTpk0AREREYG9vb0qfOHGiaZ9Vq1bh4+ODr68v/fr1Iz4+3mzeFy5coG/fvqblfv36ERMTk2+bMWPG4OLiQnp6OgDx8fHkjsgTGRlJu3bt8Pf3p3Xr1ixatChfXrnXYeLEiWRn5/8OyWvfvn107NgRf39/WrVqxaxZswBYtmwZTk5OpnMcNWoUAMHBwXTq1Al/f3/at2/PgQMHCuUZERHBypUrizxmrp07d/LHH3/ccrtSISL3zKtdu3ZyN3KfvkEam3m5T99Q0UXT7mKhoaG3tf3aI9Fy/+xt4j59g9w/e5usPRJdKuV4/PHH5YEHHpCZM2fe9r5ZWVlm0zdu3Cg5OTmSk5Mjw4YNk88++0xERN577z159dVXRUTk8uXL4ujoKOnp6WbzSEhIEA8PD0lISJArV66Ih4eHXLlypdB2M2fOlLlz5xZKDw8Pl9atWxdKz8zMFCcnJ4mLixMRkWnTphV57kuWLJF58+aJiMj169elQ4cOhbYZPXq0uLm5mc4xLi5OGjduLCIi6enpcuPGDRERSUlJkcaNG0tMTIyIiCQlJYmISE5OjgwePFhWrVpltgwiIs2bN5fg4GARMVzzEydOiIjI0qVL5fnnny+0fZ8+fWTTpk0iYvi/6N69e6FtduzYIQMGDCjymLmKur4i5j/DwCG5w+94XcMqB8617W8rXdNuV26zc8zVNIS/m53XHY255b43k5qayp49e/jyyy/59ttvTek7d+6kW7duDBo0CC8vLyZOnEhOTg4ANWrU4O2336Zjx47s3bvXbL79+/dHKYVSioCAAKKjowHDfY+UlBREhNTUVOrUqYOVlfk7F1u2bKFPnz7UqVMHR0dH+vTpw+bNm0t0vvD3j/hr164hIiQnJ+Ps7Gx2282bN/Pggw8ChmvSo0cPs9u9+OKLBAUFkZWVlS/dxsYGW1tbANLT003XEKBmzZoAZGVlkZGRcdN7QpcvX6Zhw4YAWFpa4uXlddNzVEqRnJwMGGq15s5vxowZ7N69G39/f4KCgpg/fz7jxo0DICQkBG9vb0JDQ1m0aBFBQUH4+/uze/fumx63pHTAKgfTAltgb22ZL83e2pJpgS0qqETavaasmp3XrVtHv379aN68OXXq1OHIkSOmdQcOHOCjjz4iJCSEs2fP8uOPPwJw7do1vL292b9/Pw888MBN88/MzGTFihX069cPgMmTJxMWFoazszM+Pj4sWLAACwvzX1MxMTG4ubmZll1dXQs1x+X69NNP8fX1Zdy4cSQmJprSw8PDadOmDd27dzd92VpbW7Nw4UJ8fHxwdnYmNDSU8ePHF8ozOzubkydPmoLDL7/8YjqPgho1asQDDzzAihUrCq2LiorC19cXNzc3pk+fni94BAYGUr9+fRwcHBgyZIjZvAGmTp1KixYtGDRoEIsXL87XO2/16tWmJsHcJtaPP/6YadOm4ebmxiuvvMLs2bML5Tlnzhy6du1KcHAwU6dO5cUXX+TMmTOsXbuWsWPHsnjxYtOPlalTpxIcHEzXrl2LLGNp0AGrHAxs48LswT641LZHAS617Zk92Ed3uNBKTezVtNtKL65Vq1YxbNgwAIYNG8aqVatM6wICAmjSpAmWlpYMHz6c33//HTD8wn/ssceKlf+kSZPo1q2b6Ytuy5Yt+Pv7ExsbS3BwMJMnTzbVBAoytC7lZ64W8txzz3H27FmCg4Np2LAhL7/8MgANGzbk/PnzHD16lPnz5zNixAiSk5PJzMxk4cKFHD16lNjYWHx9fc1+oe/fv5+OHTualvfs2XPTAP36668zd+7cfLUoADchLq9FAAAgAElEQVQ3N44fP86ZM2dYvnw5ly5dMq3bsmULFy5cID09ne3btxeZ99tvv82hQ4fo27cvK1euzBc4n3jiCYKDgwkODmbs2LEALFy4kKCgIKKioggKCjIbkAuysLBg2bJljBw5ku7du9OlS5db7lPadMAqJwPbuLBnRi/C5wxgz4xeOlhppaosmp0TEhLYvn07Tz/9NO7u7sydO5fVq1ebAkXB4JC7bGdnh6WlZaH8CnrnnXeIi4tj/vz5prSlS5cyePBglFI0bdoUDw+PIjt7uLq6EhUVZVqOjo4227TVoEEDLC0tsbCw4JlnnjF1MLC1taVu3boAtGvXDk9PT06dOkVwcDAAnp6eKKUYOnSo2U4FeWtU586dw83NDRsbmyLPt2nTpvj7+/Pdd9+ZXe/s7Ezr1q0LNavZ2dnxyCOP8NNPPxWZd255n3vuObZt28axY8dISEgoctvly5czePBgAB5//HGznS7MOX36NDVq1CA2NrZY25c2HbA07R5QFs3Oa9asYdSoUURGRhIREUFUVBQeHh6mmtSBAwcIDw8nJyeH1atX37L5L68vvviCLVu2sGrVqnxNfo0aNWLbtm0AXLp0iZMnT9KkSROzeQQGBrJ161YSExNJTExk69atBAYGFtruwoULpvdr167F29sbgLi4OFPPu3PnznH69GmaNGmCi4sLoaGhxMXFAfDrr7/SqlWrQvlu27aN3r17AzdvDszrjTfeYN68eabl6Oho0tIMteDExET27NlDixYtSE1NNZU7KyuLTZs20bJlyyLz3bhxo+mHxOnTp7G0tKR27dpFbu/s7Mxvv/0GwPbt22nWrFmhbRwcHEhJSTEtJyUlMWXKFHbt2kVCQgJr1qwxu12ZutPeGnfj627tJahpd6Kiewl2795dfvnll3xpCxYskIkTJ8qOHTukZ8+eMnToUGnVqpVMmDBBsrOzRUSkevXqt8zb0tJSmjRpIn5+fuLn5yfvvPOOiIjExMRInz59xNvbW1q3bi0rVqy4aT5ffvmleHp6iqenpyxZssSUPn78eDl48KCIiDz11FPi7e0tPj4+8vDDD0tsbKyIiKxZs0a8vLzE19dX2rRpI+vXrzftv3DhQmnZsqX4+PjIQw89JPHx8fmOe/nyZenZs6dp+aGHHpLw8HCzZRw9erR8//33puVBgwaZeglu3bpVfHx8xNfXV3x8fGTx4sUiInLx4kVp3769+Pj4iJeXl0yePFkyMzOLvA5PPPGENGvWTPz8/KRdu3ayefNmESm6l+Du3bulbdu24uvrKwEBAXLo0CERETl48KCMHz9eREQyMjKkV69e4uvrK/Pnz5exY8fKggULRETk/Pnz4unpKZcuXZKTJ0+Kj4+P+Pn5ya5du/Idp7R7CSox0w5cWbVv3170BI7avSIsLMzsL/u7wc6dO5k3bx4bNmyo6KJUiK+//pro6GhmzJhBeno6Xbp00ZPHmvH/7d19lB11nefx98ckpHmS8BBXSYMJDwFjAMM0IOIoIgMB9/Dg4AwRVDRjRMVxV0XDqoyDexSIrjq7sBpZBnVGEBBjQCSMguCJhKVDCElgo5Hw0MFzEsKjECDAd/+41fGm6U7fvnW76v7qfl7n9Mmtur9b91vVN/fTVfWrXw32GZa0NCJ6mlmeR7owMxuhM888c8vj8ePHO6wK4sAysxE7+uijh7zmqN6pp57K2rVrt5p30UUXDXquaSgrVqzgAx/4wFbzxo8fz5133tnwMqrik5/8JIsXL95q3qc//ektvf+qzoFlZqPmZz/7We5lHHTQQVt67nW6Sy65pOwSSlVKL0FJl0taL2nlNtocLekeSask3VZkfWbtokrnmK2zjMZnt6xu7VcAQ/YBlTQBuBQ4KSLeDLyvoLrM2kZXVxcbN250aFlyImo3cOzq6mrpcks5JBgRt0uavI0m7weui4iHs/bri6jLrJ10d3fT19e35Xogs5R0dXXR3d3d0mW26zmsqcA4Sb8Bdga+ExE/HKyhpDnAHKhddGhWFePGjWvp7cXNUteuI12MBf4KeA9wPPBlSVMHaxgR8yOiJyJ6Jk6cWGSNZmZWoHbdw+oDHouIZ4FnJd0OHAL8vtyyzMysLO26h/Vz4K8ljZW0A3AEcH/JNZmZWYlK2cOSdCVwNLCHpD7gn4BxABHx3Yi4X9JNwL3AK8BlETFkF3gzM6u+snoJzmqgzTxgXgHlmJlZAtr1kKCZmdlWHFhmZpYEB5aZmSXBgWVmZklwYJmZWRIcWGZmlgQHlpmZJcGBZWZmSXBgmZlZEhxYZmaWBAeWmZklwYFlZmZJcGCZmVkSHFhmZpYEB5aZmSXBgWVmZknIFViS9pF0vaTHJK2X9HNJ+7SqODMzs35597B+DFwNvB7YE7gGuDJvUWZmZgPlDSxFxI8i4qXs59+AaEVhZmZm9cbmfP2tkuYCV1ELqr8HfiFpN4CIeDzn8s3MzID8gfX32b8fGzD/I9QCzOezzMysJXIFVkRMaVUhZmZm25IrsCSNAd4DTK5fVkT8j3xlmZmZbS3vIcHrgeeBFcAr+csxMzMbXN7A6o6Ig1tSiZmZNWXBsnXMW7SaR5/cxJ4Ttufc4w/glBmTyi6r5fJ2a/+lpONaUomZmY3YgmXrOO+6Fax7chMBrHtyE+ddt4IFy9aVXVrL5Q2sJcDPJG2S9LSkZyQ93YrCzMxsePMWrWbT5pe3mrdp88vMW7S6pIpGT95Dgt8EjgRWRIQvGDYzK9ijT24a0fyU5d3D+gOw0mFlZlaOPSdsP6L5Kcu7h/Un4DeSfgm80D/T3drN0tIpJ+2r6NzjD+C861ZsdVhw+3FjOPf4A0qsanTkDay12c922Y+ZJab/pH3/F17/SXvAoZWA/t9RJ/zBoVYczZO0Y0Q824J6cunp6Yne3t6yyxiU/4K1dnXUhbewbpDzHZMmbM/iuceUUJFVmaSlEdHTzGvz3g/rSEn3Afdn04dIujTPMquok7qdWno66aS9pS1vp4tvA8cDGwEiYjnwjuFeJOny7IaPK4dpd5iklyWdlrPOUnVSt1NLTyedtLe05Q0sIuKRAbNeHrTh1q4AZm6rQTZO4UXAouYqax/+C9ba2bnHH8D248ZsNa+qJ+0tbXk7XTwi6W1ASNoO+Eeyw4PbEhG3S5o8TLNPAT8FDstZY+n2nLD9oOcIqvQXrM/RpauTTtpb2vIG1tnAd4BJQB9wM/CJvEVJmgScChzDMIElaQ4wB2DvvffO+9ajourdTt3LLH2nzJjk35W1vbyHBA+IiDMi4j9FxOsi4kzgTS2o69vAFyJi2MOLETE/InoiomfixIkteOvWO2XGJL7+3oOYNGF7RK331dffe1BlviB8js7MipB3D+t/Aoc2MG+keoCrJAHsAZwo6aWIWJBzuaWp8l+wnXCOzoc8zcrXVGBJOhJ4GzBR0mfqnnotMGbwVzWu/k7Gkq4Abkg5rKqu6ufofMjTrD00e0hwO2AnaoG3c93P08CwXdAlXQncARwgqU/SbElnSzq7yXqsRFXvZeZDnmbtoak9rIi4DbhN0hUR8VATr581grZnjXT5Vqyq9zLrhEOeZinIdQ6rmbCyaqryObqqH/I0S0XuC4fNqq7qhzzNUpG3l6BZ5VX9kGcnqHovz6qvX79cgSWpC5gNvBno6p8fER/JWZeZWUtUvZdn1devXt5Dgj8CXk9tANzbgG7gmbxFmbWTBcvWce41y7cabf/ca5Z7tP1EVL2XZ9XXr17ewNovIr4MPBsRPwDeAxyUvyyz9vGVhavY/MrW943b/ErwlYWrSqrIRqLqvTyrvn718gbW5uzfJyVNB3YBJudcpllbeXLT5hHNt/ZS9dunVH396uUNrPmSdgW+DCwE7gMuzl2VmVmLVL2XZ9XXr17e67Auyx7eBuyTvxyz9rPrDuN44rlX703tusO4Eqqxkap6L8+qr189RcTwrYZ6sTQe+FtqhwG3hF9EXJC7sib09PREb29vGW9tFbZg2TrOvXY5m1/+y/+VcWPEvNMOqeSXgtlokrQ0InqaeW3e67B+DjwFLAVeyLkss7bUSX/BVlWnXKdUdXkDqzsitnmre7MqqPLQU1DtL/ROuE6pyr+/enk7XfxOkruxmyWs/wu9/jqz865bUZnrzKp+nVLVf3/18gbW24GlklZLulfSCkn3tqIwMytG1b/Qq36dUtV/f/XyHhI8oSVVmFlpqv6FXvXR9qv++6uXaw8rIh4a7KdVxZnZ6JswRPf8oeanpurXKfnCYTPrGENd2ZLjipe2csqMSXz9vQcxacL2CJg0YXu+/t6DKtMpoeqBXM+3FzHrcE8NMcTUUPNTVOVenp102YUDy6zDVf0cTyeociDX8yFBsw7XSYeULG3ewzLrcJ10SKmqvrRgBVfe+QgvRzBGYtYRe/HfT6neJbIOLDPrmENKVfSlBSv4tyUPb5l+OWLLdNVCy4cEzcwSduWdj4xofsocWGZmCXt5iOsPhpqfMgeWmVnCxkgjmp8yB5aZWcJmHbHXiOanzJ0uCtIpw/+bWbH6O1Z0Qi/BXHccbjftesfhgffjgdp1LlUaHsbMrBF57jjsQ4IF6KTh/83MRosDqwCdNPy/mdlo8TmsAnistvSd8f07WPzHx7dMH7Xvbvz7R48ssSKzzuM9rAJ4rLa0DQwrgMV/fJwzvn9HSRWZdSbvYRXAY7WlbWBYDTffzEZHKYEl6XLgPwPrI2L6IM+fAXwhm/wz8PGIWF5giS3nsdrMzPIp65DgFcDMbTy/FnhnRBwMfBWYX0RRZmbWvkrZw4qI2yVN3sbzv6ubXAJ0j3ZNlk+VL4w+at/dBj38d9S+u5VQjVnnSqHTxWzgl0M9KWmOpF5JvRs2bCiwLOvXf2H0uic3EcC6Jzdx3nUrWLBsXdmltcS/f/TIV4WTewmaFa+0kS6yPawbBjuHVdfmXcClwNsjYuNwy2zXkS6q7qgLbxm02/6kCduzeO4xJVRkZu0qz0gXbdtLUNLBwGXACY2ElZXHF0abWRHaMrAk7Q1cB3wgIn5fdj2tUOVzPL4w2syKUMo5LElXAncAB0jqkzRb0tmSzs6anA/sDlwq6R5JSR/nq/o5Hl8YbWZFKKuX4Kxhnv8H4B8KKmfUbWvw2yrsZfnCaDMrQlseEqyaTjjH4wujzWy0pdCtPXlDncvxOR4zs8Y5sArgczxm5VqwbB1HXXgLU+b+gqMuvKUy5487jQ8JFsDneMzKM/CO3/2dngD/H0yMA6sgPsdjVo6qd3rqJD4kaGaV1gmdnjqFA8vMKs2dnqrDgWVmleZOT9Xhc1hmVmnu9FQdDiwzqzx3eqoGHxI0M7MkOLDMzCwJDiwzM0uCA8vMzJLgwDIzsyQ4sMzMLAmKiLJraBlJG4CHyq5jGHsAj5VdxCjy+qXN65e2FNbvjRExsZkXViqwUiCpNyJ6yq5jtHj90ub1S1vV18+HBM3MLAkOLDMzS4IDq3jzyy5glHn90ub1S1ul18/nsMzMLAnewzIzsyQ4sMzMLAkOrBaSNFPSaklrJM0d5Pnxkn6SPX+npMl1z52XzV8t6fgi625Us+sn6W8kLZW0Ivv3mKJrb0Se31/2/N6S/izpc0XV3Kicn82DJd0haVX2O+wqsvZG5PhsjpP0g2y97pd0XtG1N6KB9XuHpLslvSTptAHPfUjSH7KfDxVX9SiICP+04AcYA/wR2AfYDlgOTBvQ5hPAd7PHpwM/yR5Py9qPB6ZkyxlT9jq1cP1mAHtmj6cD68pen1auX93zPwWuAT5X9vq08Hc3FrgXOCSb3r1in833A1dlj3cAHgQml71OTazfZOBg4IfAaXXzdwMeyP7dNXu8a9nr1OyP97Ba53BgTUQ8EBEvAlcBJw9oczLwg+zxtcC7JSmbf1VEvBARa4E12fLaSdPrFxHLIuLRbP4qoEvS+EKqblye3x+STqH2ZbCqoHpHIs+6HQfcGxHLASJiY0S8XFDdjcqzfgHsKGkssD3wIvB0MWU3bNj1i4gHI+Je4JUBrz0e+I+IeDwingD+A5hZRNGjwYHVOpOAR+qm+7J5g7aJiJeAp6j9xdrIa8uWZ/3q/S2wLCJeGKU6m9X0+knaEfgC8M8F1NmMPL+7qUBIWpQdcvp8AfWOVJ71uxZ4FvgT8DDwjYh4fLQLHqE83w8pfLc0bGzZBVSIBpk38JqBodo08tqy5Vm/2pPSm4GLqP3V3m7yrN8/A9+KiD9nO1ztJs+6jQXeDhwGPAf8WtLSiPh1a0vMJc/6HQ68DOxJ7ZDZbyX9KiIeaG2JueT5fkjhu6Vh3sNqnT5gr7rpbuDRodpkhyB2AR5v8LVly7N+SOoGfgZ8MCL+OOrVjlye9TsCuFjSg8B/Af6bpHNGu+ARyPvZvC0iHouI54AbgUNHveKRybN+7wduiojNEbEeWAy021h8eb4fUvhuaZgDq3XuAvaXNEXSdtRO7C4c0GYh0N9L5zTglqidGV0InJ71ZJoC7A/834LqblTT6ydpAvAL4LyIWFxYxSPT9PpFxF9HxOSImAx8G/haRPyvogpvQJ7P5iLgYEk7ZF/07wTuK6juRuVZv4eBY1SzI/BW4P8VVHejGlm/oSwCjpO0q6RdqR3dWDRKdY6+snt9VOkHOBH4PbUePV/M5l0AnJQ97qLWi2wNtUDap+61X8xetxo4oex1aeX6AV+idp7gnrqf15W9Pq38/dUt4yu0WS/BFnw2z6TWmWQlcHHZ69Liz+ZO2fxV1IL43LLXpcn1O4za3tSzwEZgVd1rP5Kt9xrgw2WvS54fD81kZmZJ8CFBMzNLggPLzMyS4MAyM7MkOLDMzCwJDiwzM0uCA8vMzJLgwDJrkqQJkj5RN72npGtH6b1OkXR+C5f3jXa9zYvZUHwdllmTsnsq3RAR0wt4r99Ru0j0sRYt743A9yOiHcd1NBuU97DMmnchsK+keyTNkzRZ0koASWdJWiDpeklrJZ0j6TOSlklaImm3rN2+km5S7caWv5V04MA3kTQVeKE/rCS9T9JKScsl3Z7NG5PVcJekeyV9rO71n89uULhc0oUAEfEQtZHmXz/qW8msRTxau1nz5gLTI+ItsGWPq950ajev7KI2LM4XImKGpG8BH6Q27uB84OyI+IOkI4BLgYGH6o4C7q6bPh84PiLWZeM0AswGnoqIw7J7jS2WdDNwIHAKcEREPNcflJm7s2X/tOktYFYgB5bZ6Lk1Ip4BnpH0FHB9Nn8FtQFldwLeBlxTd1uSwW5s+QZgQ930YuAKSVcD12XzjsuW2X979F2oDaJ8LPCvURtpndj6Xk/rqd1WwywJDiyz0VN/k8pX6qZfofZ/7zXAk/17aNuwiVoAARARZ2d7Y+8B7pH0Fmr3PfpURGw1ErekmQx9/6OubNlmSfA5LLPmPQPs3OyLI+JpYK2k9wFkt7g4ZJCm9wP79U9I2jci7oyI84HHqN3vaBHwcUnjsjZTs9tl3Ax8RNIO2fz6Q4JTqY3AbpYEB5ZZkyJiI7VzRSslzWtyMWcAsyUtp3aLi5MHaXM7MEN/OW44L+tEsTJ7bjlwGbXbY9ydzf8eMDYibqJ276ReSfcAnwPIgm0/oLfJus0K527tZgmQ9B3g+oj4VYuWdypwaER8uRXLMyuC97DM0vA1YIcWLm8s8M0WLs9s1HkPy8zMkuA9LDMzS4IDy8zMkuDAMjOzJDiwzMwsCQ4sMzNLggPLzMyS4MAyM7MkOLDMzCwJDiwzM0tCKYEl6XJJ6/vvzjrI85L0L5LWZHdPPbToGs3MrL2UtYd1BTBzG8+fQO3mc/sDc4D/XUBNZmbWxkoJrIi4HXh8G01OBn4YNUuACZLeUEx1ZmbWjtr1jsOTgEfqpvuyeX8a2FDSHGp7Yey4445/deCBBxZSoJmZjdzSpUsfi4iJzby2XQNLg8wbdFj5iJgPzAfo6emJ3l7fj87MrF1JeqjZ17ZrL8E+arf97tcNPFpSLWZm1gbaNbAWAh/Megu+FXgqIl51ONDMzDpHKYcEJV0JHA3sIakP+CdgHEBEfBe4ETgRWAM8B3y4jDrNzKx9lBJYETFrmOcD+GRB5ZiZWRM2b95MX18fzz///Kue6+rqoru7m3HjxrXs/dq104WZmbW5vr4+dt55ZyZPnoz0l75yEcHGjRvp6+tjypQpLXu/dj2HZWZmbe75559n99133yqsACSx++67D7rnlYcDy8zMmjYwrIabn4cDy8zMkuDAMjOzJDiwzMysabVO3Y3Pz8OBZWZmTenq6mLjxo2vCqf+XoJdXV0tfT93azczs6Z0d3fT19fHhg0bXvVc/3VYreTAMjOzpowbN66l11kNx4cEzcwsCQ4sMzNLggPLzMyS4MAyM7MkOLDMzCwJDiwzM0uCA8vMzJLgwDIzsySUEliSZkpaLWmNpLmDPL+3pFslLZN0r6QTy6jTzMzaR+GBJWkMcAlwAjANmCVp2oBmXwKujogZwOnApcVWaWZm7aaMPazDgTUR8UBEvAhcBZw8oE0Ar80e7wI8WmB9ZmbWhsoYS3AS8EjddB9wxIA2XwFulvQpYEfg2GJKMzOzdlXGHtZg900eeOOUWcAVEdENnAj8SNKgtUqaI6lXUu9gIwabmVk1lBFYfcBeddPdvPqQ32zgaoCIuAPoAvYYbGERMT8ieiKiZ+LEiaNQrpmZtYMyAusuYH9JUyRtR61TxcIBbR4G3g0g6U3UAsu7T2ZmHazwwIqIl4BzgEXA/dR6A66SdIGkk7JmnwU+Kmk5cCVwVozG/ZbNzCwZpdzAMSJuBG4cMO/8usf3AUcVXZeZmbUvj3RhZmZJcGCZmVkSHFhmZpYEB5aZmSXBgWVmZklwYJmZWRIcWGZmlgQHlpmZJcGBZWZmSXBgmZlZEhxYZmaWBAeWmZklwYFlZmZJcGCZmVkSHFhmZpYEB5aZmSXBgWVmZklwYJmZWRJKCSxJMyWtlrRG0twh2vydpPskrZL046JrNDOz9jK26DeUNAa4BPgboA+4S9LCiLivrs3+wHnAURHxhKTXFV2nmZm1lzL2sA4H1kTEAxHxInAVcPKANh8FLomIJwAiYn3BNZqZWZspI7AmAY/UTfdl8+pNBaZKWixpiaSZQy1M0hxJvZJ6N2zYMArlmplZOygjsDTIvBgwPRbYHzgamAVcJmnCYAuLiPkR0RMRPRMnTmxpoWZm1j7KCKw+YK+66W7g0UHa/DwiNkfEWmA1tQAzM7MOVUZg3QXsL2mKpO2A04GFA9osAN4FIGkPaocIHyi0SjMzayuFB1ZEvAScAywC7geujohVki6QdFLWbBGwUdJ9wK3AuRGxsehazcysfShi4OmjdPX09ERvb2/ZZZiZ2RAkLY2InmZe65EuzMwsCQ4sMzNLggPLzMyS4MAyM7MkOLDMzCwJDiwzM0uCA8vMzJLgwDIzsyQ4sMzMLAkOLDMzS4IDy8zMkuDAMjOzJDiwzMwsCQ4sMzNLggPLzMyS4MAyM7MkOLDMzCwJpQSWpJmSVktaI2nuNtqdJikkNXV3SjMzq47CA0vSGOAS4ARgGjBL0rRB2u0M/CNwZ7EVmplZOypjD+twYE1EPBARLwJXAScP0u6rwMXA80UWZ2Zm7amMwJoEPFI33ZfN20LSDGCviLhhuIVJmiOpV1Lvhg0bWlupmZm1jTICS4PMiy1PSq8BvgV8tpGFRcT8iOiJiJ6JEye2qEQzM2s3ZQRWH7BX3XQ38Gjd9M7AdOA3kh4E3gosdMcLM7POVkZg3QXsL2mKpO2A04GF/U9GxFMRsUdETI6IycAS4KSI6C2hVjMzaxOFB1ZEvAScAywC7geujohVki6QdFLR9ZiZWRrGlvGmEXEjcOOAeecP0fboImoyM7P25pEuzMwsCQ4sMzNLggPLzMyS4MAyM7MkOLDMzCwJDiwzM0uCA8vMzJLgwDIzsyQ4sMzMLAkOLDMzS4IDy8zMkuDAMjOzJDiwzMwsCQ4sMzNLggPLzMyS4MAyM7MkOLDMzCwJpQSWpJmSVktaI2nuIM9/RtJ9ku6V9GtJbyyjTjMzax+FB5akMcAlwAnANGCWpGkDmi0DeiLiYOBa4OJiqzQzs3ZTxh7W4cCaiHggIl4ErgJOrm8QEbdGxHPZ5BKgu+AazcyszZQRWJOAR+qm+7J5Q5kN/HKoJyXNkdQrqXfDhg0tKtHMzNpNGYGlQebFoA2lM4EeYN5QC4uI+RHRExE9EydObFGJZmbWbsaW8J59wF51093AowMbSToW+CLwzoh4oaDazMysTZWxh3UXsL+kKZK2A04HFtY3kDQD+B5wUkSsL6FGMzNrM4UHVkS8BJwDLALuB66OiFWSLpB0UtZsHrATcI2keyQtHGJxZmbWIco4JEhE3AjcOGDe+XWPjy28KDMza2se6cLMzJLgwDIzsyQ4sMzMLAkOLDMzS4IDy8zMkuDAMjOzJDiwzMwsCQ4sMzNLggPLzMyS4MAyM7MkOLDMzCwJDiwzM0uCA8vMzJLgwDIzsyQ4sMzMLAkOLDMzS4IDy8zMkuDAMjOzJJQSWJJmSlotaY2kuYM8P17ST7Ln75Q0ufgqzcysnRQeWJLGAJcAJwDTgFmSpg1oNht4IiL2A74FXFRslWZm1m7K2MM6HFgTEQ9ExIvAVcDJA9qcDPwge3wt8G5JKrBGMzNrM2NLeM9JwCN1033AEUO1iYiXJD0F7A48NnBhkuYAc7LJFyStbHnF1bEHg2xD24q30bZ5+wzP22jbDmj2hWUE1mB7StFEm9rMiPnAfABJvRHRk6+86vL2GZ630bZ5+wzP22jbJPU2+9oyDgn2AXvVTXcDjw7VRtJYYBfg8UKqMzOztlRGYN0F7C9piqTtgNOBhQPaLAQ+lD0+DbglIgbdwzIzs85Q+CHB7JzUOcAiYAxweUSsknQB0BsRC4H/A/xI0hpqe1anN7j4+aNSdHV4+wzP22jbvH2G51bB/f8AAAWfSURBVG20bU1vH3nHxczMUuCRLszMLAkOLDMzS0JygeVhnYbXwDb6jKT7JN0r6deS3lhGnWUZbvvUtTtNUkjquC7KjWwjSX+XfY5WSfpx0TWWqYH/Y3tLulXSsuz/2Yll1FkWSZdLWj/UdbGq+Zds+90r6dCGFhwRyfxQ66TxR2AfYDtgOTBtQJtPAN/NHp8O/KTsuttwG70L2CF7/PFO2kaNbJ+s3c7A7cASoKfsutttGwH7A8uAXbPp15Vdd5ttn/nAx7PH04AHy6674G30DuBQYOUQz58I/JLaNbdvBe5sZLmp7WF5WKfhDbuNIuLWiHgum1xC7Vq4TtHIZwjgq8DFwPNFFtcmGtlGHwUuiYgnACJifcE1lqmR7RPAa7PHu/Dqa00rLSJuZ9vXzp4M/DBqlgATJL1huOWmFliDDes0aag2EfES0D+sU6doZBvVm03tL51OMez2kTQD2CsibiiysDbSyGdoKjBV0mJJSyTNLKy68jWyfb4CnCmpD7gR+FQxpSVjpN9TQDlDM+XR0mGdKqrh9Zd0JtADvHNUK2ov29w+kl5D7Q4BZxVVUBtq5DM0ltphwaOp7aH/VtL0iHhylGtrB41sn1nAFRHxTUlHUruudHpEvDL65SWhqe/p1PawPKzT8BrZRkg6FvgicFJEvFBQbe1guO2zMzAd+I2kB6kdX1/YYR0vGv1/9vOI2BwRa4HV1AKsEzSyfWYDVwNExB1AF7VBca2moe+pgVILLA/rNLxht1F2yOt71MKqk849wDDbJyKeiog9ImJyREymdo7vpIhoesDOBDXy/2wBtc47SNqD2iHCBwqtsjyNbJ+HgXcDSHoTtcDaUGiV7W0h8MGst+Bbgaci4k/DvSipQ4IxusM6VUKD22gesBNwTdYf5eGIOKm0ogvU4PbpaA1uo0XAcZLuA14Gzo2IjeVVXZwGt89nge9L+q/UDnWd1Ul/OEu6ktrh4j2y83j/BIwDiIjvUjuvdyKwBngO+HBDy+2gbWhmZglL7ZCgmZl1KAeWmZklwYFlZmZJcGCZmVkSHFhmZpYEB5ZZkyRNkPSJuuk9JV07Su91iqTzW7i8b0g6plXLMyuCu7WbNSm7dc0NETG9gPf6HbULmB9r0fLeCHw/Io5rxfLMiuA9LLPmXQjsK+keSfMkTe6//4+ksyQtkHS9pLWSzsnuQ7YsGyx2t6zdvpJukrRU0m8lHTjwTSRNBV7oDytJ75O0UtJySbdn88ZkNdyV3V/oY3Wv/7ykFVn7CwEi4iFgd0mvH/WtZNYiSY10YdZm5gLTI+ItsGWPq950YAa1YXnWAF+IiBmSvgV8EPg2tfsmnR0Rf5B0BHApMPBQ3VHA3XXT5wPHR8Q6SROyebOpDW9zmKTxwGJJNwMHAqcAR0TEc/1Bmbk7W/ZPm94CZgVyYJmNnlsj4hngGUlPAddn81cAB0vaCXgbfxkiC2D8IMt5A1uPQ7cYuELS1cB12bzjsmWelk3vQm0w2mOBf+2//1lE1A8EvR7YM8f6mRXKgWU2eupHwX+lbvoVav/3XgM82b+Htg2bqAUQABFxdrY39h7gHklvoXa7hk9FxKL6F2b3qRrqRHVXtmyzJPgcllnznqF2O5KmRMTTwFpJ7wPIRq4+ZJCm9wP79U9I2jci7oyI84HHqN2mYRHwcUnjsjZTJe0I3Ax8RNIO2fz6Q4JTgZXN1m9WNAeWWZOy0ckXZx0g5jW5mDOA2ZKWA6t49a3WAW4HZugvxw3nZZ0oVmbPLQcuA+4D7s7mfw8YGxE3UbuVQ6+ke4DPAWTBth/QSbdNscS5W7tZAiR9B7g+In7VouWdChwaEV9uxfLMiuA9LLM0fA3YoYXLGwt8s4XLMxt13sMyM7MkeA/LzMyS4MAyM7MkOLDMzCwJDiwzM0uCA8vMzJLw/wFks/9BOWiupAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 34.0, sf = 6.59 --> Field = 1042.63136 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 25 $$$ 25 $$$ 25 $$$ 25 $$$ 25 $$$ 25 $$$ 25 $$$ 25 $$$ 25 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1296.17348684 for Na num 473.847451835E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 268.347593289k\n",
      "TOTAL Na num = 268.347593289k\n",
      "\n",
      "init mol temp/init Na temp = 1.2026555603\n",
      "init mol temp = 1.57663333333e-06 uk\n",
      "init na temp = 1.31096e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.28754152502\n",
      "\n",
      "init na num = 371.022606368 at 1.31096 uk\n",
      "init Na density = 6.84687076791e+11 cm^-3 (7.15034803903 %)\n",
      "\n",
      "init overlap density = 5.11284336878e+11 cm^-3 (9.39254196002 %) (34.3106374827 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.746741619944\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 16.2642076056 at 1.57663333333 uk\n",
      "init molecule density = 1.60362306753e+11 cm^-3 (8.61432093355 %)\n",
      "two-body rate coefficient = 2.47220393898e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.114067601507\n",
      "loss rate coefficient = 1.40225371825e-11 (14.7761301296 %) (36.1570742954 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 6.9109365739\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0902013117959\n",
      "\n",
      "loss rate from EXP fit = 7.46586263143\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.47220393898e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.114226395781\n",
      "loss rate coefficient = 1.42129675212e-11 (13.3182127374 %) (35.586160098 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.47220393898e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.115394890067\n",
      "loss rate coefficient = 1.41879536371e-11 (13.4185655762 %) (35.6238389582 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 35.0, sf = 6.59 --> Field = 1051.3872 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 26 $$$ 26 $$$ 26 $$$ 26 $$$ 26 $$$ 26 $$$ 26 $$$ 26 $$$ 26 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1283.11734975 for Na num 506.492517007E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 284.286764067k\n",
      "TOTAL Na num = 284.286764067k\n",
      "\n",
      "init mol temp/init Na temp = 1.20003682951\n",
      "init mol temp = 1.52056666667e-06 uk\n",
      "init na temp = 1.2671e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.81371962058\n",
      "\n",
      "init na num = 397.059931948 at 1.2671 uk\n",
      "init Na density = 7.71108778653e+11 cm^-3 (6.78552391154 %)\n",
      "\n",
      "init overlap density = 5.7638457398e+11 cm^-3 (9.349096257 %) (34.2987696692 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.747475051428\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 13.7865813399 at 1.52056666667 uk\n",
      "init molecule density = 1.43520464287e+11 cm^-3 (9.60156018582 %)\n",
      "two-body rate coefficient = 2.38428988107e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0811632969531\n",
      "loss rate coefficient = 1.84341848855e-11 (12.3806465318 %) (35.2459984757 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 11.2385787973\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0643925760299\n",
      "\n",
      "loss rate from EXP fit = 10.8304359841\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.38428988107e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0809744267073\n",
      "loss rate coefficient = 1.85242565881e-11 (10.6913900465 %) (34.6886987523 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.38428988107e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0814593412555\n",
      "loss rate coefficient = 1.86898807731e-11 (10.7281632211 %) (34.7000502319 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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U79u3j379+rFu3TpEJHBFaSpexG8cVtWFqnqlsx2jqmdroeHrqvqiqrZQ1Vaq2l5Vv4l0nMaUZGiPpsTHFvxOJT7WzdAepVt+ItxsPSwC+6HWw/K79dZbWbRoEb///nugbNSoUVx88cX88MMPfPTRRyHfB1MxbKYLY0qhd+sEnrw6iYTa8QiQUDueJ69OKjLgoqLYeljHJjY2lvvvv5/nn38+UBb8PkyZMuW427S1r8pPqboERaQO0Cj4fFX9LlxBGRMNerdOqDQJqrCePXsyceJEkpOTadq06XGth5WQkED79u0DSaawPn368PDDD4dcDys+Pp4lS5YEyoPXw/J6vZx22mmBLsjjNXXqVAYPHszhw4c566yzmDx5cqnaKez222/nH//4R2B/2LBh9OvXj+eee46uXbsed3uF34v4+MrTTRztjns9LBF5HOgP/Ab4T1ZVPf7/s2Fm62GVn9krMxgzdw1b9mbRoHY8Q3s0rbT/WFcGth6WMZVjPazrgbNVNbc0L2iiz/Hcc2SqNlsPy1Sk0iSsH4DawI4wx1Ip2JVEUSXdc3SivzcnGlsPy1Sk0iSsJ4GVIvIDkOMvVNVeYYuqgtiVRGhbQgzfLqncmJLYelimtEqTsKYCTwOrCTEvYDSzK4nQouGeI2NM1VeahLVTVSeEPZJKINQ/yiWVnyiG9mha4MoTKtc9R6by2HM4l+37ssn1eIlzu/jDKdWpUyOuosMyVURpEtYKEXkS+JCCXYJRP6zdLYInxKhJdxlufKwK/FeX9t2eKcmew7lk7MnC6/wN5Xq8ZOzxfdizpGXCoTQ3DrcG2gP/BJ51HmPDGVRFCZWsSio/kfRuncDiEV3Z8NQVLB7R1ZJVlJg1axYiwi+/hG+2+D59+tC0aVNatmzJbbfdFpi66NfN27mr/w1c170TV3XrwOxp7+BVZfu+0DNFTJ06lXPOOYdzzjmn2BuVR48eTUJCAikpKaSkpARGJ27cuJH4+PhA+eDBgwPnvPvuuyQlJZGcnEzPnj3ZuXNnyLa3bt1K9+7dA/s9e/YkI6PgEjH9+/cnISGBnBzfZ/OdO3eSmJgIwKZNm2jTpg0pKSm0aNGCiRMnBs5LTU2ladOmgfh27Ch+jNqaNWtITU0lJSWFZs2aMWjQIMA3W8kpp5wSaOOSSy4JnPOf//yH5s2b06JFC26++eaQ7RYXw6ZNm+jWrRvJycmkpqaSnp4e8vxQEwMXtnHjRv79738ftV7YlHYSwsr4KOvktxc++WXICU0vfPLLMrVrTjzHO/ntrO/S9cInv9RE5/dt1nfpYYnjuuuu006dOumjjz563Ofm5+eHLP/kk0/U6/Wq1+vVG2+8UV9++WVVVR0y7GHtf+c9umrzHl2Qtk5PPqW2Lv9tu67avKdIG7t27dLGjRvrrl27dPfu3dq4cWPdvXt3kXrBk8oG27Bhg7Zo0aJIeV5entavX18zMzNV1Te5b3E/+xtvvKFjx45VVd8EwW3bti1Sp1+/ftqoUaPAz5iZmalnnnmmqqrm5ORodna2qqoeOHBAzzzzTM3IyFDV45sAt3v37jp79uzA/vfff6+qRScD9lu7dq2mpKQE3q/t27eHbLe4GK699lqdMmWKqqp++eWXesstt4Q8P3hy3+IUF6NfuCe/Pe4rLBF5JNSjHHJpxFX2+eFM1eQfnZqxNwvlyOjUsi4IefDgQRYvXszrr7/Oe++9FyhfuHAhnTt35qqrrqJ58+YMHjwYr9c3fqpmzZo88sgjtGvXrsCMFcEuv/xyRAQR4YILLgh8Qo9xuzh88CCqyuFDhzildh3cMTHEuYv+MzN37lwuvfRS6tatS506dbj00kuZM2dOkXrHy/8P26FDh1BV9u/fX+y6VHPmzAlMertw4UJSU1ND1rvvvvsYN25ckTkJ4+LiAvMW5uTkBN7D47V161YaNjyy2HpSUlKJ9SdNmsRdd91FnTp1ADjttNOO6/V++umnwDIvF198MR988EGROiNGjCArK4uUlBT69OnDt99+S3JyMtnZ2Rw6dIgWLVrwww8/MGLECL7++mtSUlIYN27cccVRGqXpEjwU9PAAlwGJYYypwlT2+eFM1VRea2vNnj2bnj170qRJE+rWrct33x35mnnZsmU8++yzrF69mt9++42ZM2cCcOjQIVq2bMn//vc/OnXqVGL7eXl5vPXWW/Ts2ROA++69hw2/ruWS85tx7aUdGfb3J4lxu/nDKdWLnJuRkUGjRo0C+w0bNizSHef34osvkpyczG233RZYAwtgw4YNtG7dmi5dugTmGIyNjeVf//oXSUlJNGjQgJ9++onbb7+9SJsej4c1a9bQvHlzAD777LPAz1HYH//4Rzp16hRyZo/NmzeTnJxMo0aNGD58eIHkOGDAAFJSUnj88cf9yyaFdP/999O1a1cuu+wyxo0bx969ewPH/MkgJSWFJ554AoC1a9eydu1aOnbsSPv27UtM9KFiaNWqFe+//z7g6zI+cOAAu3btKnDeU089RXx8PGlpabzzzju0bduWXr168fDDDzNs2DBuueUWWrZsyVNPPcVFF11EWloa999/f7FxhE1pL838D6AaMLes7YTjYethlZ/y6rKqqo6nS/Boa2uV1uWXX67z5s1TVdXx48frAw88oKq+bpyLLrooUO/1118PrC3ldruL7QosbODAgYHzVFWnT5+ug+8aoj9l7NWPFq3QhEZ/1I1bM0Oe+8wzzwTW4VJVfeyxxwLdc8G2bdum+fn56vF49MEHH9QBAwaoqmp2dnZgnavly5drw4YNdd++fZqbm6tdu3bVX3/9Vb1er951110FXsdv8eLFOmjQoMD+eeedpzk5OUXq9evXT6dPn67r1q3TZs2a6fbt2wNdgsEyMjK0bdu2um3bNlVVTU/3/X3s379fL730Up06dWrI9yH4/Ndff1179eqlTZs21ezs7GK726644grt3bu35ubm6vr16zUhIUH37Cna7VpcDBkZGXrVVVdpSkqK3nPPPZqQkKB79+4tcn7hLsGcnBxNTk7WCy64IPA7Uum7BEOoAZwVhnZMJVVeXVbGp7j72cpyn9uuXbuYP38+AwcOJDExkTFjxjBt2rTAp+zCS37496tXr35MS9H//e9/JzMzk+eeey5QNnnyZG6+4TqaNTiFKy86jyZ/Opvtv68PeX7Dhg3ZvHlzYD89PT1k190f/vAH3G43LpeLO+64g2XLlgG+5UT8a1y1adOGs88+m7Vr15KWlgbA2WefjYhw/fXX8803RVcnCr6iWr9+PY0aNSIurviRjH/6059ISUnhP//5T8jjDRo0oEWLFoErPf9s77Vq1eLmm28OxF2cBg0acNttt/HBBx8QExPDDz/8UGzdhg0b8uc//5nY2FgaN25M06ZNWbduXZF6xcXQoEEDZs6cycqVKwNXbaecckqJ8YFvpv2DBw9y4MCBCltypTTfYa0Wke+dx4/AGmD80c5zznWLyEoR+djZbywi/xORdSIyTUTinPJqzv6vzvHE443ThE80LAcfzcrju9MZM2bQt29fNm3axMaNG9m8eTONGzfmv//9L+DrEtywYQNer5dp06Ydtfsv2GuvvcbcuXN59913cbmO/BPyxz/+kS+//BKA7du3s2bNGs46K/Rn2R49ejBv3jz27NnDnj17mDdvHj169ChSb+vWrYHtWbNmBdbfyszMxOPx/U6uX7+edevWcdZZZ5GQkMBPP/1EZmYmAJ9//nnISYi//PLLwPc4JXUHBnvooYcYO/bIgOj09HSysnzD9vfs2cPixYtp2rQp+fn5gZGJeXl5fPzxxyWuGzZnzpzASMtt27axa9euQLIJpXfv3ixYsADwjVpcu3Ztkfe5pBh27twZ+L7tySef5Lbbbgv5OrGxsQUWrxw0aBCPP/44ffr0Yfjw4UDkl1IpzRXWlcD/OY/uQANVffEYz70X+Dlo/2lgnKqeA+wB/J3NtwN7VPVPwDinnqkgNjVT+SqP707fffddrrrqqgJl11xzTWAIcocOHRgxYgQtW7akcePGReqWZPDgwWzfvp0OHTqQkpLCY489BvgWPvzmm29ISkqiW7duPP3005x66qkh26hbty6jRo2ibdu2tG3blkceeSSwGvHAgQPxr7owbNiwwBD1BQsWBL7YX7RoEcnJybRq1Yprr72WiRMnUrduXRo0aMCjjz5K586dSU5OJi0tjQcffLDAa2dmZlK9enVOPvlkwJcwjiVhtWjRgvPOOy+w//PPP9OuXTtatWpFly5deOCBB0hKSiInJ4cePXqQnJxMSkoKCQkJ3HHHHcW2O2/ePFq2bEmrVq3o0aMHY8aM4fTTTy+2fo8ePahXrx7Nmzfn4osvZsyYMYGrzZSUFIASY1i4cCFNmzalSZMmbN++nYceeijQtv988CWo5ORk+vTpw5tvvklMTAw333wzI0aM4Ntvv2X+/PkkJycTExNDq1atIjLo4riXFwHflRLwBwquh/V78WeAiDTEN63TE8Df8CW8TOB0Vc0XkQ7AaFXtISJzne0lIhIDbAPq61GCteVFykfHp+aHnO0joXY8i0dU+KoylVJlXl5k4cKFjB07lo8//riiQ6kQb7/9Nunp6YwYMYKcnBw6duyI/btRPip8eRERGQI8CmznyFyCCiQf5dTngWFALWe/HrBXVf1jRdMB/0fKBGAzgJPM9jn1i9wBKCKDgEHg65Iw4WdTM5mq5JZbbglsV6tWzZJVFCnN1Ez3Ak1VdddRazpE5Epgh6quEJFUf3GIqnoMxwoWqr4KvAq+K6xjjckcO5uaqWpJTU0t9p6jYFdddVWRVYeffvrpkN81FWf16tXceuutBcqqVavG//73v2Nuo6p44oknmD59eoGy6667rkCXnClZaVYcXgBcGnRldCznPAncCuQD1YGTgVlADyphl+ALM/7Gt7v+i0oMSCzqPJA41BWHuqqhUg11VwNXdXBVw+Vy45YYYlwu3K4Y3OLC7XLjFjdul5sYcRPj8h33Pbtxu1zEumIC5bHuGF9dl5s4Vwwx7iPPsa4YYt0xxLndxLjdVHPHEutyE+t2O+UxxLp8x/yv6RY3LnERIzG4xIVLXEVGh5nyUZm7BI2JlArvEgTWAwtF5BMKTn77XHEnqOpIYCSAc4X1gKr2EZHpwLXAe0A/wH/L9YfO/hLn+PyjJatwOpSzj32uLBSv81A8Ch4Ejwe8HsEj4MkDjwgewIuQL+Ct7AlBBd9YGxcS9CyF9l24EQQRN4KLfA/k5Cle9SW+k+JiqREbi4jLSYxuJym6cYd6dvme3eJPqC7c4iRocRHj9iX5GCfRxrh9STfWSb6xwQne7UvqMf5yJ7HHut2BpB0jMbhcrkDSLvwc2HYFxeSv4yr+HP/+sSR+VbUPCOaEVR7/ZJcmYf3uPOKcR1kMB94TkX8AK4HXnfLXgbdE5FdgN3BjGV/nuIzo83rBAk8e5ByA7L2QtRdy9kP2vqDt/ZCzH2/WXsjejyd7n++Rsx/NPYAn9wCqXjwcSXAeCUpy+Mry3NXJi40nN6YGOe7q5MXEk+uOJ9ddjRxXNd+zxPm2XbHkSCw5xJDriiWXGLIlhlyJIRc3+arke/PxqhePevB4PYFtr3qd7Xy8ePEGlXnVg3Jk24uXXI+HnPw8QEG8ePCy3+PlUE4OIt5AYsf/LF5AEefZt+8FUXw/rYJ4AvtH6kdTj64USPQu8SV7Fy5EXAxJvJOcjbnE1armHDtylu8/CS4B8ZcU3A+uHzguR+qJBB2R4s8NajmQRAuUF65XwnnH3ZZvo3TtWcKPSqrKrl27qF696CwnZVGqUYKVVaUdJagKeVkFkhs5B47s5x50EuK+oO2g8kD9A+A9xp7YmHioVhPiajrPtSDupCNlcTUL7Z8U9HD2Y2tAXE0ueXE5v+3zUvg+81CjBFUVj1fJdx6eoEe+1xvYzvMoXlXyPUfK8z1ecjz55Hs95Hs85Hk95Obnk68e8jwe8jz55AUdy3ceed58PF5fmcfrq+tRD/leL/nefDzqDRz3eo8k8HwnUXu8vvoe9eJ1yrVQcveqFy++ul68znEviq+Oqse5FvcdqxVbjTvPvYRGNevhKvCVrIb4hra4v8FQ5YXK5HjPjz5S+A2lEEZwAAAgAElEQVSTwiVB+1KwfoGaUrSt4znuT8bFxXVMx53XCdl2cN3CN3aX5rWOJRYnnhKPh4jnWFSvXp2GDRsSGxtbuK2Idgma4yUCcTV8j1rF319xVKqQn+NLXLkHIMdJaIHEdgByDx3Zzz3o28856Ns+vBP2bHTKD/va0KNP2PkFQHU4rNU4RDWytBqHqE7W4WowNSEoudVAYk8iJu4kYuJqQOxJvp85tsaROk49YuOP7MfWBHfV+lX0ehWP+pOzF68XJ4EGJ3ANSuBeXwL3H/MndCeRB5/jT/Qer5Ln9eL1f0DwHHnNI9te8vJ9yduX0L3kefMDyT7fKcv3J3T1Oh8Y/IneG0j+XnXqqiew7fF68DhJOt/rcbrPj3wQ8CXoUFfSR664/VfhErgaD/EcuGL3n1ewXUELnVewbZeAiBcRDTwQRfAGbTtxCAXixamjFG37SM+CBvaP9DhUjQ8MAG/0eIO2p7et6DAsYUUVEYit7ntQv+zt+a/88g4XTW55h33beYd4ae4q8rMPEk8OJ5FNvPie68Tm+c4/vMt3bt5hXyLMO3RMibAAd1yhJOZPavFB24XLqvueY6oH7cf7ri5jgx4x8b5jMfHgjoUwdTPNXplR7MhJl8vXWRjrhuqxR5/qqKryBidmVTye4pNsqMRdpDyQqDWobS8eL75kXCTR4yTdI+fmB672fcdCJ/qCHxa8GrpXILi3IDhWVZw28vF4vXgJTtJHkmDRxH2krGgSPlryLlhfgur7j7tdiksUl8t5iOJygctJ4r5yEI4cF4GDB0+O8G9OaJawTmTBV34nhZ6RACAhJoOhM1aR5znyiTHWLYz5v1YQami7/0ow7/CRRBZIZsFlWQXL87J8yS4vq+CxrN2Qlx1UJwvySznLhriCkly881zd9xwoq1YwyQWOVwvU+25LFotW7KB5vpuzXbHk7Ivj3Zk/cvK+FnRt+cegus5zGBNlNHG5hDjXifdzF+ZProFk7E96wYmyQDINuqIOSvr+xO3x4kumGpQ0Q5wffCUfSMDqf/0jHySCk7u/PH1PFuu2HyA738vwzM08eHnNCr+VpTQ3DlfHN3VSC3xD1AFQ1dATUpmqoXDvRkm9HcFXgjXqlk88Xi94cnzJK/cQ5GcXTHTB+/lZTsLL8pXnB20Xfj6440id/JyC5wQ5DzjPRdFhRwudRxESlMCqBSWyoO2YuKD9ar6rTv85gW1/naC67rhCz9WKqRfr23bHgSsc816bYxVtids/4XV2vq+nZMeBHEbOXA1QoUmrNFdYbwG/4LuH6jGgDwXnBzRVzJi5a8jzFsxQeV5lzNw1FffL63KBy+nyK6+kGMx/1ZifBfm5XPTPT6lGLtXI9z1LHtXIpTp5TLyxhVM3u8A5gX1PzpFk6Akqz95/5Fh+TtCxXF/5sQ64ORauGCd5xR5JdoGEF3tkP/AIrhdbsDxU3cJ1XLGF6scWKo9xEmlswfNdMSfklWlFK2nC62hLWH9S1etE5M+qOlVE/g3MDXdgpvKwyW8p9P0hHIxPYPPhIzNZ+68469SIheTu5ROD1xOU8HILPWcXLfPkFiorvB30CJyT5+w727mHwLPbd9ybd6SuN8933J9Yy3OAQXAScwU/Bye5mKBjMQXrFD7H5a8T6lhM6Pb8j8C+O6idQnUCbQe153IXbENclToRV9a/+dIkLP9f6V4RaYlvForEsEVkKp0GteNDTn5blvWaol1xd4OU610iLrfv+0ZqlOOLlIKqL5kGEl7ekUTozT+SAL35zrEc8OQXquM/J+9IMiywXaheqG1vnq/d/GznFhBn399G4Xpe51g4r1yPR4Ek5w5KbjEFE5wrxulRiCnmHOchrkLHgo6Lu2A7gf2genJk+68117Ezy+u7V1TdfO1NZienVPjffGkS1qsiUgcYhW9GiprAI2GNylQqNvltUfuy8o6rvEoTca52onQMl6qTvPJDJLY8XzIOTm5ez5F6BZJfiEdx5/uPqadQe/kF63j953t8dYPPyc1xtvOP1Amc4/VtFzgnqMybX+JI3qEAQbdPXZ8zikMxdSv8b/64f8NU9TVn8ytspeETgk1+W5RddVYhIke6HGNPoP9//ivjwolQfYltzuoMJi1cx84Dh3GdfAZP9izbGm3hUJrJb6sB1+DrBgxeD+uxsEZWCpV2pgtT5fhHURW+6izrwovGVHWRnuniA2AfsIKgyW+NOZHYVacxkVeahNVQVY++nrQxVVzv1gmWoIyJoNIkrG9EJElVV4c9GmOMqWJKmsLLHJ/SJKxOQH8R2YCvS1AAVdXksEZmjDFRrvB3nRl7syrFjBHRqjQJ67KwR2GMMVVQZZ0xIlqVZlj7puM9x5l/cBFQzXnNGar6qIh8DdRyqp0GLFPV3s6qxB8AG5xjMyvDKERjjDkelXXGiGgVqTv9coCuqnpQRGKB/4rIZ6p6kb+CiLyPL0n5fa2qV0YoPmOMCTu7Xy+8IjJls/ocdHZjnUfgBjARqQV0BWZHIp6SzF6ZQcen5tN4xCd0fGo+s1dmVHRIxpgoNbRHU+ILrYd2os8SUxYRW2NARNwikgbsAD5X1f8FHb4K+FJV9weVdRCRVSLymYi0KKHdQSKyXESWZ2ZmlinG2SszGDp9FRl7s1B8X5AOnb7KkpYxplR6t07gyauTSKgdjwAJtePt5vIyOO6ZLsr8giK1gVnAEFX9wSn7DHhNVd939k8GvE4X4uXAeFU952htl3Wmi5S/z2NviLngasfHkvZoOc3AbYwxlVB5Dccvy0wXEV/FTVX34lvirieAiNQDLgA+Caqz39+FqKqfArEiUvySuGESKlmVVG6MMVWRfzh+cG/TyJmrK7y3KSIJS0TqO1dWiEg8cAm+RSABrgM+VtXsoPqni/gWixGRC5w4d0UiVmOMOdGVNBy/IkVqlOAZwFQRceNLPv9R1Y+dYzcCTxWqfy1wp4jkA1nAjRqBvkuR0OsZVeJ11owxJuwq63D8iCQsVf0eaF3MsdQQZS8CL5ZzWCFiOb5yY4ypiirrcPyIf4dVmSUU8z+juHJjjKmKKutwfEtYQSrr/yRjjImkyjocP0rXtC4ftsaRMcb4VMblcyxhFVIZ/ycZY4yxhGWMMSaEyriOlyUsY4wxBVTWdbxs0IUxxpgCKuuNw5awjDHGFFBZbxy2hGWMMaaA4m4QthuHjTHGVCqV9Z5UG3RhjDGmgMp6T6olLGOMMUVUxntSrUvQGGNMVLCEZYwxJipYwjLGGBMVIrXicHURWSYiq0TkRxH5u1M+RUQ2iEia80hxykVEJojIryLyvYicF4k4jTHGVF6RGnSRA3RV1YMiEgv8V0Q+c44NVdUZhepfBpzjPNoB/3KejTHGnKAicoWlPged3VjnUdI6vn8G3nTOWwrUFpEzyjtOY4wxlVfEvsMSEbeIpAE7gM9V9X/OoSecbr9xIlLNKUsANgednu6UhWp3kIgsF5HlmZmZ5Ra/McaYihWxhKWqHlVNARoCF4hIS2AkcC7QFqgLDHeqS6gmimn3VVU9X1XPr1+/fjlEbowxpjKI+ChBVd0LLAR6qupWp9svB5gMXOBUSwcaBZ3WENgS0UCNMcZUKpEaJVhfRGo72/HAJcAv/u+lRESA3sAPzikfAn2d0YLtgX2qujUSsRpjjKmcIjVK8Axgqoi48SXJ/6jqxyIyX0Tq4+sCTAMGO/U/BS4HfgUOAwMiFKcxxphKKiIJS1W/B1qHKO9aTH0F7irvuIwxxkQPm+nCGGNMVLCEZYwxJirY8iLGGFOOZq/MqHTrSkUrS1jGGFNOZq/MYOTM1WTleQDI2JvFyJmrASxplYJ1CRpjTDkZM3dNIFn5ZeV5GDN3TQVFFN0sYRljTDnZsjfruMpNySxhGWNMOWlQO/64yk3JLGEZY0w5GdqjKfGx7gJl8bFuhvZoWkERRTcbdGGMMeXEP7DCRgmGhyUsY4wpR71bJ1iCChPrEjTGGBMVLGEZY4yJCuKbZ7ZqEJFMYFOYmjsV2BmmtiIpWuOG6I3d4o4sizuywh33mapaqtV2q1TCCicRWa6q51d0HMcrWuOG6I3d4o4sizuyKlPc1iVojDEmKljCMsYYExUsYRXv1YoOoJSiNW6I3tgt7siyuCOr0sRt32EZY4yJCnaFZYwxJiqckAlLRHqKyBoR+VVERoQ4Xk1EpjnH/yciiUHHRjrla0SkRzTELSKXisgKEVntPHeNhriDjv9RRA6KyAORitl53bL8niSLyBIR+dF536tHQ+wiEisiU52YfxaRkZUs7s4i8p2I5IvItYWO9RORdc6jX+SiLn3cIpIS9HvyvYjcEA1xBx0/WUQyROTFiASsqifUA3ADvwFnAXHAKqB5oTp/BSY62zcC05zt5k79akBjpx13FMTdGmjgbLcEMqLh/Q46/j4wHXggGuLGN+XZ90ArZ79epH5PwhD7zcB7znYNYCOQWIniTgSSgTeBa4PK6wLrnec6znadKIi7CXCOs90A2ArUruxxBx0fD/wbeDESMZ+IV1gXAL+q6npVzQXeA/5cqM6fganO9gygm4iIU/6equao6gbgV6e9Sh23qq5U1S1O+Y9AdRGpFpGoy/Z+IyK98f3j82OE4vUrS9zdge9VdRWAqu5SVQ+RU5bYFThJRGKAeCAX2B+ZsI8et6puVNXvAW+hc3sAn6vqblXdA3wO9IxE0JQhblVdq6rrnO0twA6gVDfVlkJZ3m9EpA3wB2BeJIKFE7NLMAHYHLSf7pSFrKOq+cA+fJ+Sj+Xc8lKWuINdA6xU1ZxyirOwUsctIicBw4G/RyDOwsryfjcBVETmOt0pwyIQb8i4HMcT+wzgEL5P+r8DY1V1d3kHXDgmx/H8fVX2v82jEpEL8F3p/BamuI6m1HGLiAt4FhhaDnEV60ScrV1ClBUeKllcnWM5t7yUJW7fQZEWwNP4rgAipSxx/x0Yp6oHnQuuSCpL3DFAJ6AtcBj4UkRWqOqX4Q2xWGWJ/QLAg697qg7wtYh8oarrwxtiSGX5+6rsf5slNyByBvAW0E9Vi1zNlJOyxP1X4FNV3RzJv80T8QorHWgUtN8Q2FJcHadr5BRg9zGeW17KEjci0hCYBfRV1Uh9gisQk+N44m4HPCMiG4H7gAdF5O7yDrhwTI7j/T35SlV3quph4FPgvHKPOERcjuOJ/WZgjqrmqeoOYDEQqWl5yvL3Vdn/NoslIicDnwAPq+rSMMdWkrLE3QG42/nbHAv0FZGnwhteCJH4oqwyPfB9+l2Pb9CE/4vGFoXq3EXBL6T/42y3oOCgi/VEbtBFWeKu7dS/Jpre70J1RhPZQRdleb/rAN/hG7QQA3wBXBElsQ8HJuP79H0S8BOQXFniDqo7haKDLjY4730dZ7tuFMQdB3wJ3Bep349wxF3oWH8iNOgiom9QZXkAlwNr8fUVP+SUPQb0crar4xuV9iuwDDgr6NyHnPPWAJdFQ9zAw/i+l0gLepxW2eMu1MZoIpiwwvB7cgu+gSI/AM9Ey+84UNMp/xFfshpayeJui+/K4BCwC/gx6NzbnJ/nV2BANMTt/J7kFfrbTKnscRdqoz8RSlg204UxxpiocCJ+h2WMMSYKWcIyxhgTFSxhGWOMiQqWsIwxxkQFS1jGGGOigiUsY4wxUcESljGlJCK1ReSvQfsNRGRGOb1WbxF5JIztjY30MjPGlJXdh2VMKTlrSH2sqi0j8Frf4LuZc2eY2jsTmKSqkZxX0pgysSssY0rvKeBsEUkTkTEikigiPwCISH8RmS0iH4nIBhG5W0T+JiIrRWSpiNR16p0tInPEt7Dm1yJybuEXEZEmQI4/WYnIdSLyg4isEpFFTpnbieFbZyHAvwSdP8xZkHGVf743Vd2Eb0b808v9XTImTE7E2dqNCZcRQEtVTYHAFVewlvgWz6yOb7qg4araWkTGAX2B54FXgcGquk5E2gEvA4W76jrim5vQ7xGgh6pmiEhtp+x2YJ+qtnXWOlssIvOAc4HeQDtVPexPlI7vnLbfL/U7YEwEWcIypvwsUNUDwAER2Qd85JSvBpJFpCZwITA9aImGUAtrngFkBu0vBqaIyH+AmU5Zd6dN/zLmpwDnAJcAk9U3azxacG2rHfiWETEmKljCMqb8BC+S6Q3a9+L723MBe/1XaCXIwpeAAFDVwc7V2BVAmoik4JtdfYiqzg0+UUR6UvwaR9Wdto2JCvYdljGldwCoVdqTVXU/sEFErgMQn1Yhqv4M/Mm/IyJnq+r/VPURYCe+NY3mAneKSKxTp4mzYvM84DYRqeGUB3cJNsE3m7wxUcESljGlpKq78H1X9IOIjCllM32A20VkFb4lPf4cos4ioLUc6Tcc4wyi+ME5tgp4Dd9yIN855a8AMao6B/gQWC4iacADAE5i+xOwvJRxGxNxNqzdmCggIuOBj1T1izC1dxVwnqqOCkd7xkSCXWEZEx3+iW8F43CJAZ4NY3vGlDu7wjLGGBMV7ArLGGNMVLCEZYwxJipYwjLGGBMVLGEZY4yJCpawjDHGRAVLWMYYY6KCJSxjjDFRwRKWMcaYqGAJyxhjTFSwhGWMMSYqWMIyxhgTFSxhGWOMiQpVasXhU089VRMTEys6DGOMMcVYsWLFTlWtX5pzq1TCSkxMZPlyW4/OGGMqKxHZVNpzrUvQGGNMVLCEZYwxJipYwjLGGBMVqtR3WMZUFnl5eaSnp5OdnV3RoRhTIapXr07Dhg2JjY0NW5vllrBE5A3gSmCHqrZ0ykYDdwCZTrUHVfXTEOf2BMYDbuA1VX2qvOIsbPbKDMbMXcOWvVk0qB3P0B5N6d06IVIvb6qI9PR0atWqRWJiIiJS0eEYE1Gqyq5du0hPT6dx48Zha7c8uwSnAD1DlI9T1RTnESpZuYGXgMuA5sBNItK8HOMMmL0yg5EzV5OxNwsFMvZmMXLmamavzIjEy5sqJDs7m3r16lmyMickEaFevXph72Eot4SlqouA3aU49QLgV1Vdr6q5wHvAn8MaXDHGzF1DVp6nQFlWnocxc9dE4uVNFWPJypzIyuP3vyIGXdwtIt+LyBsiUifE8QRgc9B+ulNW7jL2Zh1XuTHGmMiJdML6F3A2kAJsBZ4NUSdUWtbiGhSRQSKyXESWZ2ZmFlftmLiL+URQXLkxldmECRNo1qwZffr0KbFezZo1Adi4cSMtW7Ys97j8r1fWOubEE9FRgqq63b8tIpOAj0NUSwcaBe03BLaU0OarwKsA559/frGJ7Vh4NPTpxZUbU5m9/PLLfPbZZ2H90tuYihTRKywROSNo9yrghxDVvgXOEZHGIhIH3Ah8GIn4EmrHH1e5MZXV4MGDWb9+Pb169WLcuHGMHj2asWPHBo63bNmSjRs3HlNbCxcupEuXLlx//fU0adKEESNG8M4773DBBReQlJTEb7/9BsCmTZvo1q0bycnJdOvWjd9//x2ADRs20KFDB9q2bcuoUaMKtD1mzBjatm1LcnIyjz76aHh+eFNlleew9neBVOBUEUkHHgVSRSQFXxffRuAvTt0G+IavX66q+SJyNzAX37D2N1T1x/KKM9jQHk0ZOXN1gYEX8bFuhvZoGomXN1XVffdBWlp420xJgeefL/bwxIkTmTNnDgsWLODUU09l9OjRZXq5VatW8fPPP1O3bl3OOussBg4cyLJlyxg/fjwvvPACzz//PHfffTd9+/alX79+vPHGG9xzzz3Mnj2be++9lzvvvJO+ffvy0ksvBdqcN28e69atY9myZagqvXr1YtGiRXTu3LlMsZqqq9wSlqreFKL49WLqbgEuD9r/FCgy5L28+e+3svuwjCmobdu2nHGGr4Pk7LPPpnv37gAkJSWxYMECAJYsWcLMmTMBuPXWWxk2bBgAixcv5v333w+UDx8+HPAlrHnz5tG6dWsADh48yLp16yxhmWLZTBeF9G6dYAnKhFcJV0KREhMTg9frDewf7/0x1apVC2y7XK7AvsvlIj8/P+Q5wcOaQw1xVlVGjhzJX/7yl+OKxZy4bC7BQmavzKDjU/NpPOITOj41324aNlVCYmIi3333HQDfffcdGzZsCPtrXHjhhbz33nsAvPPOO3Tq1AmAjh07Fij369GjB2+88QYHDx4EICMjgx07doQ9LlN1WMIKYjNdmKrqmmuuYffu3aSkpPCvf/2LJk2ahP01JkyYwOTJk0lOTuatt95i/PjxAIwfP56XXnqJtm3bsm/fvkD97t27c/PNN9OhQweSkpK49tprOXDgQNjjMlWHaBUasn3++edrWRZw7PjU/JA3CSfUjmfxiK5lCc2cYH7++WeaNWtW0WEYU6FC/R2IyApVPb807dkVVpAtxcxoUVy5McaYyLGEFaRBMfdbFVdujDEmcixhBRnaoynxsW5qZR/kpAM7A+VtzqxDbr63hDONMcaUN0tYQXq3TuCaNgkMWfwuW1/uT/YLt3Aa+/lw1RZ6jl/EorVlm6vQGGNM6VnCCjJ7ZQbvr8hgYsrl1K5ek52H9/Lj0zdz3rLXyMs+TN83ljHozeVs3n24okM1xpgTjiWsIP71sHbXS8B773uk9h5J2+o1mbVgNv8bdSVX5K7i63U76fbcV4ydu4bDuaFvmDTGGBN+lrCCFB4N+GvTjmy8510ubNaZU0R4YtxDzF/zNhfX9/Ligl/pOvYrZq/MwOutOrcGGFPYlClTuPvuu49aZ8uWI4sqDBw4kJ9++qm8QzMnGEtYQUKOBhSBvo+SefAgtf/xD07+eCZT7ruSGpPvoFbeXu6blsbV//qG737fE/mAjakkCies1157jebNm1dgRKYqsoQVxD9KMFhgtvb4eHjoIQ4sXUrzunVZt2MrS0ZfywXfvsKmjG1c/fI33PveSlud2FQqvXv3pk2bNrRo0YJXX30V8C2O+NBDD9GqVSvat2/P9u2+Zeo++ugj2rVrR+vWrbnkkksC5X4HDhygcePG5OXlAbB//34SExOZPn06y5cvp0+fPqSkpJCVlUVqair+m/jnzJnDeeedR6tWrejWrVsEf3pT1djkt0GOZbb205OTWblrF79++inDb7uN6fM/wj3/Iwbf808++8HFnB+2MfCixtyZ+idqVrO318DfP/qRn7bsD2ubzRuczKP/1+Ko9d544w3q1q1LVlYWbdu25ZprruHQoUO0b9+eJ554gmHDhjFp0iQefvhhOnXqxNKlSxERXnvtNZ555hmeffbIouC1atUiNTWVTz75hN69e/Pee+9xzTXXcN111/HSSy8xduxYzj+/4AQGmZmZ3HHHHSxatIjGjRuze/fusL4P5sRSnuthvQFcCexQ1ZZO2Rjg/4Bc4DdggKruDXHuRuAA4AHySzuNR2kc62ztf7r8ct7fto2Xhgzh5UmTGD/hQbZ27Mr/a3slLy3wMu3bdP52aROuP78hMW67kDUVY8KECcyaNQuAzZs3s27dOuLi4rjyyisBaNOmDZ9//jkA6enp3HDDDWzdupXc3NyQKxUPHDiQZ555ht69ezN58mQmTZpU4usvXbqUzp07B9qqW7duOH88c4Ipz0uAKcCLwJtBZZ8DI51FGp8GRgLDizn/YlXdWcyxSuOuF17grvHj4Z13yB0+nOmL53NGjZrUHjSGB2fl8MbiDYy87Fy6nntayCUWTNV3LFdC5WHhwoV88cUXLFmyhBo1apCamkp2djaxsbGB30W32x1YHmTIkCH87W9/o1evXixcuDDkoo8dO3Zk48aNfPXVV3g8Hlq2bFliDKpqv/cmbMrto7+qLgJ2Fyqbp6r+seBLgYbl9foR5XLBrbdyaloaf27ZkkNZh5j//J00mvb/2PnTMm6fupybJi1l1eYiF5PGlJt9+/ZRp04datSowS+//MLSpUuPWj8hwde7MHXq1GLr9e3bl5tuuokBAwYEymrVqhVypvUOHTrw1VdfBZYzsS5BUxYV2Vd1G/BZMccUmCciK0RkUEmNiMggEVkuIsszMyt2JoqTTzuNWatXs3HDBoZ36MDSjWtY9fowBmyay7qt+/nzS4u569/fsWnXoQqN05wYevbsSX5+PsnJyYwaNYr27duXWH/06NFcd911XHTRRZx66qnF1uvTpw979uzhppuOLCrev39/Bg8eHBh04Ve/fn1effVVrr76alq1asUNN9xQ9h/MnLDKdXkREUkEPvZ/hxVU/hBwPnC1hghARBqo6hYROQ1fN+IQ54qtRGVdXiTcvps3j/FDhjB1/XoOnHQyVzVry4bzb0RqncbN7f7IkK7nUL9WtaM3ZKJOVV5eZMaMGXzwwQe89dZbFR2KqeTCvbxIxIexiUg/fIMxuoVKVgCqusV53iEis4ALgKMmrMrmvO7dmbpmDfz2G+n338+XH31EtaVz6djtet7KvYEZK9IZ2KkxAzufxcnVYys6XGOOasiQIXz22Wd8+umnFR2KOQFFNGGJSE98gyy6qGrICflE5CTApaoHnO3uwGORinH2yowSh7WXytln0+zDD3n3mWd45ZlnmP/lf6i34H3knNaM2/8Aby7dxF9Tz6Zvh0SqF7oPzJjK5IUXXqjoEMwJrNy+wxKRd4ElQFMRSReR2/GNGqwFfC4iaSIy0anbQET8H9n+APxXRFYBy4BPVHVOecUZbPbKDEbOXE3G3iwUyNibxciZq5m9MiMs7d84bBgLdu7kq4kTqRkXy4Y1yxn74eO0yt/LPz/9hS5jFvD20k22lIkxxoRQrt9hRVpZv8Pq+NT8kDNVJNSOZ/GIrmUJrQhVZcELL9D1gw9g/nwSq8XjatEJT7e7+eOpNbm3WxN6pzSwe7iiVFX+DsuYYxXu77DsX8MghSe/PVp5WYgIXe+5B778km0zZ5KZl8OG7z5HX7iJg998yN/+vYzuzy/ig7QMPJVgct3ZKzPo+NR8Go/4hI5PzQ/bVacxxhwrS1hBQk5+W0J5uJx+1VXsz8lh2qhRnOKCtA/Gs+W5a9mz9DPufS+Ny2upj5QAACAASURBVMYv4tPVWytsVvjy7io1xphjYQkrSImT35Yzd0wM1z/2GKsOHOAft99O7Rg3c2Y8w4sL/0XmikUMnryYyyd8zWcVkLj864QFy8rzMGbumojGYYw5sVnCCtK7dQJPXp1EQu14BN93V09enVT2UYLHweVy8dBrr7EzL48/fPUVPU/K4ud3HmH78zew6YtpDH5zGZdP+JpPvo9c4opkV6kJnwkTJtCsWTP69OlTYr2aNWsCsHHjxqNOtRQO/tcrbZ2NGzciIgVGLN59991MmTKlxDZHjx5NQkICKSkpgcfevTb7TDSx6cQLOdbJbyOic2dk3jweHDyYN//9b3755GXqf/4G3zVuzeDf/sq5jRsxpNs5XJF0Bm5X+c3X1qB2fMjBKOXdVWrK5uWXX+azzz4LOYlttDvttNMYP348f/nLX4iLizvm8+6//34eeOCBcozMlCe7wqrk3G43j0yaxLqDB/lkwgROrRZL5poltHnvIdi2jXveXcmlz33FjBXp5HnKZzh8RXaVVhWpqamBK4C8vDxSU1N5++23ATh8+DCpqalMmzYN8M3pl5qaysyZMwHYuXMnqampfPTRRwBs27btqK83ePBg1q9fT69evRg3bhyjR49m7NixgeMtW7Zk48aNxxT7woUL6dKlC9dffz1NmjRhxIgRvPPOO1xwwQUkJSXx22+/AbBp0ya6detGcnIy3bp14/fffwdgw4YNdOjQgbZt2zJq1KgCbY8ZM4a2bduSnJzMo48+ekzxgG/Kp27duoWc83DSpEm0bduWVq1acc0113D4cMhbPgOee+45brvtNgBWr15Ny5YtOXz4MKNHj+bWW2+la9eunHPOOUedmd6UP0tYUUJEuHzIEH7ct4/XH3+c//TszNznbiHxXwP47tmB3Dd5Pl2fXcg7/9tEdqHvm8qqMnSVmuMzceJEGjRowIIFC7j//vvL3N6qVasYP348q1ev5q233mLt2rUsW7aMgQMHBrrm7r77bvr27cv3339Pnz59uOeeewC49957ufPOO/n22285/fTTA23OmzePdevWsWzZMtLS0lixYgWLFh37hDYjRozg2WefxeMp+Pt+9dVX8+2337Jq1SqaNWvG66+/Hjg2bty4QHfgxRdfDMB9993Hr7/+yqxZsxgwYACvvPIKNWrUAOD777/nk08+YcmSJTz22GMFVlU2kWddglFGRLjt/7N33+FRVekDx78nhSR0Qk+BhBYkbRAC0kGEoKh0RLAgIqKy6/pTIIKCyrKgYWVxXcVGETWCCsEFpSwQQFCKJLRAaKEkYEgBkkAIKef3x0zGlEkI6RPez/PMw9x27jtDZt455557zhtvGBf+/neudurEtT9Ok/7RMzj49+e140NY1NqLSb1b8XiXFtQqo0kkq1RTqRUKCwszP7e3t8+zXLNmzTzL9erVy7PcqFGjPMu5v/QrSkBAAM2bNwegdevWDBw4EABfX1+2bdsGwK+//mquFT755JNMmzYNgF27dvHDDz+Y10+fbpxRaNOmTWzatImOHTsCkJqaysmTJ+ndu3exYvL09KRLly588803edYfOXKEN954g6tXr5KamkpgYKB5m6UmQRsbG5YtW4afnx/PP/88PXr0MG8bMmQITk5OODk50a9fP/bu3cvQoUOLFZ8oe8X6NlNKNQDcc++vtT5QXkGJYmrZkoiEBA5u28Y/X36ZbyI2kxWxGdXCm7+nvMuHW0/xdHcPxnf3oEGt4rfzi+rHzs6O7Ow/m4xv3rx5R8c7OPw5SLONjY152cbGxjyfVn6558GyNCeW1prXX3+d559//o5iyW3GjBmMHDkyT5IbP348oaGh+Pv7s2zZsjzJvjAnT56kdu3aBWpQ+eOWub0q122bBJVSc4BDwAfAP02PBUUeJCqUf79+fHnoEBG//cZ9LVsyOzmW1StexXP/et5++23um7uRt/971GLHCXF38PDw4MAB42/MAwcOmOenKkvdu3fn22+/BeDrr7+mZ8+egHHSx9zrcwQGBrJkyRJSU1MBiI2N5fLly3d0zvbt29OhQwfWrVtnXpeSkkLz5s3JyMjIc77CXLt2jZdffpkdO3aQmJjI999/b962du1abt68SWJiImFhYQQEBNxRfKJsFaeGNRporbW+Vd7BiNLx6dqVX8+ehYwM+PZbrrzwAteuX8f+yP/4OPIZvtzVgyEd3ZnUpxXtm9Wt7HBFBRoxYgRffvklBoOBgIAA2rVrV+bn+OCDD5gwYQLBwcE0btyYpUuXArBo0SLGjh3LokWLGDFihHn/gQMHcuzYMbp16wYYu7J/9dVXNGnS5I7OO3PmTHOzIsCcOXPo2rUrLVu2xNfXN8/EkgsXLjR3dgEIDQ3lnXfe4cUXX6Rdu3Z88cUX9OvXz1xj69KlC4MHD+b8+fO8+eabuLi43PkbI8rMbccSVEr9ALygtb6znz6VoKrNh1XZUpKTmTNxImvWr+fUjRs42NXAvqUfDUe+RZ92jXm+dyu6tW5YrGaOchnFvhqTsQSt31tvvUXt2rWlG3wpVMZYgvOAcKXURqXUjzmPkpxMVKw6devy3qpVHE9O5of336eunQ3NzxzgtR0rOBp5juFvf8nD//6F0PDYIrvEy9BMQoiqoDg1rKPAJ8BhwPytprXeftvClVqCcbLGyzmzDiulnIGVgAdwFhittb5i4dinAVN3OP6utS54w0U+UsO6vZvR0TguWcLKDz5kTPJV6jTxoNbAKXjc48/4Hp6M6dKCek55J5OsyFHsqwupYZXe4cOHefLJJ/Osc3BwYM+ePZUUkbhTZV3DKk7C2q617lOiwpXqDaQCX+ZKWO8BSVrr+UqpIKCB1np6vuOcgf1AZ0ADvwOdLCW23CRhFV/UwYM8P3o04adOkZydTd16Tcl0aY/74JcY06sD47t74NGoFgCeQeux9FeigOj5gys0bmshCUuIymkS/F0pNU8p1U0pdW/OoziFa613AEn5Vg8BcmpLywFLNzUEApu11kmmJLUZGFScc4ri8fL3JywqitirV/lwyhTsbiRx49h2+h7cyte7TtN77nomLt/H7tMJNK/naLEMGZpJCFGRitNLMKf7zX251mmgpG1BTbXWlwC01peUUpa6BLkCF3Itx5jWiTJWu04dXvr3v3lh0SJ++/57uv/6K38sn0KL+IusqNuY9Y9MxcPLF3tbRUbWn/UsGZpJCFHRbpuwtNb9KiKQfCx1W7PYdqmUmgRMAmjRokV5xlSt2djY0H30aBg9mtrTp9O5e3fCz57ljxWvcr2hO1lNPGnU52lUvaY0revA6w/eI70EhRAVqjg3Ds+y9CjFOeOUUs1NZTcHLHWXj8E4skYON8DiIF5a60+11p211p0bN25cirBEjtrNmrH7zBkuX73Kf15+mYZpidw4toP6mz/BRmcTdyWV9Qdj2XUqgdtdAxVCiLJSnGtY13M9soAHMfbwK6kfgadNz58G1lrYZyMwUCnVwDQs1EDTOlGB6tSty4v/+hdnUlNZvnAhu0f3Z+fq16m55K8smdSHIa/M5/55m1m2K5rkmxmVHa7IR+bDyiv3fFg+Pj78+GPeu3P8/f15/PHHbxubqERa6zt6AA7AxmLuGwJcAjIw1pqeBRoCW4CTpn+dTft2Bj7PdewE4JTp8UxxztepUyctytmtW3rSAw/omjY2GtCONetpJ6+e2m3UbB30/UF9NPZaZUdYJURGRlZ2CNrLy0ufOXPmtvvVqlVLa611dHS09vb2Lu+wzOcr6T7R0dG6SZMmunXr1jo9PV1rrfVLL72kly5dWmSZs2fP1sHBwVpr4/9Pw4YNdVZWlnnZx8dHu7i46NTU1GK+EnE7lj4HwH59h3kn51GSobxrAq2KmQwL+7nS38K++4GJuZaXAEtKEJ8oT/b2fLJ5M//JzGT9Z5/x8XvvsTHqF5KiD7C6pT8h+y7g38iep/p1YLBfcxzzzaN1t+rbt2+BdaNHj+bFF1/kxo0bPPTQQwW2jx8/nvHjx5OQkMDIkSPzbLvdgK6558OaMGEC165dyzNqg4+PD+vWrcPDw+O2sYeFhTF79myaNm1KREQEw4cPx9fXl0WLFpGWlkZoaCitW7fm3LlzTJgwgfj4ePPQTC1atCA6OpqxY8eSmZnJoEF5O/sGBwezatUq0tPTGTZsGG+//fZt4wHjfFg9evRg+fLlPPfcc3m2ffbZZ3z66afcunWLNm3asGLFCvN0ITnuuece7OzsSEhIoEmTJnzzzTc8+eSTHDt2jB9//FFqWlVUca5hHVZKHTI9jgJRwKLyD01UZXZ2dgx54QU2REcTsWcPa175C3sPLOapH9/jx6mDeHLsY3R8ZTnv/HiEk3Epty9QlCmZD8vyfFg59uzZg42NDTnXvVeuXMljjz3G448/TkhIyB2/P6JiFKeG9XCu55lAnNba8nwC4q7k36ULdOkCQN/ly1k65QCxJ3Zz/MRu5q1pz3sNXOg3ZgrPPBTAQ753Z62rqBpR/vmw8ss/H1ZlqC7zYeUMflunTh1WrlyJUop9+/bRuHFjWrZsiZubGxMmTODKlSs0aNCgRO+VKD+3rWFprc9hvP6UAdgCLkop6T8uLLr/6ae5kJLC2ZMnmT1qFA6XT3P96Fb+OHSE/1t1EMPLy3hz1QEiLyZXdqh3lao8H1ZERAQRERGcOnWKZ5999o7imjFjBu+++26e1zZ+/Hg+/PBDDh8+zOzZs/O81ldeeYWIiAh27txJr169AAgJCeH48eN4eHjQunVrkpOTzQlWVC3FaRL8CxCHcbSJ9abHuiIPEne9Fm3a8NaqVSTeTGPDl1+y11sTsnUR5z6fwtxx3ek1fjqDZn3PV7+dlR6GFUDmw7IsOzub7777jkOHDnH27FnOnj3L2rVrpVmwiipOt/aXAS+ttbfW2tf08CvvwET1YGtrS+CTT6Jmz+K+X3/miQH34+pgR9LmxWyaO4bxgV1pPeg5Xlm6m92nE8jOlvu6ysOIESNISkrCYDDw8ccfl9t8WEuXLsXPz48VK1awaJHxUveiRYv4z3/+Q0BAANeuXTPvP3DgQMaOHUu3bt3w9fVl5MiReeauKq6ZM2cSExNjXs6ZD2vAgAG0b9++yGN37NiBq6srrq5/3gTfu3dvIiMjuXTp0h3HIspXcQa/3QYMsIbrVjL4rfWI2LmTj2fO5POdv9CuaSvsxszlanYWDid38MJLLzC6e1vcnWvevqAqSga/FaLsB78tTqeLM0CYUmo9kJ6zUmv9fklOKASAoVcvPtmxgw/S07kVGYn96lCGf/EVP186Q9Cvofy942B6du3N0yP78aCvC7UcSnIHhhCiOinOt8B506OG6SFEmXFwcMChY0fo2JHPJk3k7RdeYN+efUSELWFd2BLWv+9I60mf8IiPO8P7+9KtdUNsbW4/Q7KwfjIflsivOIPfFu9OPiFKydXdnU9NF8+jIiKYMel5fjsaycjT+1ln58DihUOoW68hL/11GiP7+3FP87qVHLEoT76+vkRERFR2GKIKkXYWUSV5GQz8sNf0Szo+nhlfh+B88jfidDZvPRfGe+174NqoGS88P4nRAww0rydzcwlR3RWnl6AQlatxY+r87a+kpt3g+//8h2HtWnPr0Gai/reM6a9Opvs/tjB69ncs33SIqzduVXa0QohyIglLWA0HBwdGvPgi3x8MJz4pkTeee45lPe7l5aM/cWDDSsYHGnAPCGTYlIWs/e00N25V+Y6tQog7UGiToFLq3xQyaSKA1vqv5RKREMVQt1495nz6qXFBa+rPmsX0o7WJP7ad0Mgw/rvs79jVqse452Yzelgf+vi535VDQglRnRRVw9oP/F7EQ9xFQsNj6TF/K55B6+kxfyuh4bGVHdKflGL8nDnEpSYTd+kSH/3f/9HcDjLiz/H7VRue/+4oLXqN4YHhL7DlwFluZWbfvsxqYs2aNSilOH78eJmVOW7cOLy8vPDx8WHChAlkZBhHKrl27RqPPPII/v7+eHt7s3Tp0iLLWb58OW3btqVt27YsX77c4j6557AyGAz89NNPgHFOLCcnJ/P6yZMnm48JCQnB19cXPz8/Bg0aREJCgsWyL126ZB4TEWDQoEHExub9ux4/fjyurq6kpxvv6ElISDCPcH/u3Dk6deqEwWDA29ubxYsXm4/r27cvXl5e5viKGsEjKiqKvn37YjAYuOeee5g0aRJgHH+yXr165jIeeOAB8zGrVq2iQ4cOeHt7M3bsWIvlFhbDuXPn6N+/P35+fvTt2zfPTde5/eMf/yg05hxnz54tMJZjuSruPCRAHaB2SecxyVWOFxCR65EM/C3fPn2Ba7n2mVWcsmU+rPKx5kCMbvP6et1y+jrzo83r6/WaAzGVHVqRbqSk6Ftbt+mwv8zSNso4f5dd/ea6UcBQPWjUX/TPuyJ1ekZWuZz7TufDWnMgRneft0V7TF+nu8/bUmbv7ahRo3TPnj317Nmz7/jYzMxMi+vXr1+vs7OzdXZ2th4zZoz+6KOPtNZaz507V0+bNk1rrfXly5d1gwYNzPNV5ZeYmKg9PT11YmKiTkpK0p6enjopKanAfrnnsMqtsLm7MjIydOPGjXV8fLzWWuupU6cW+tqXLFmiFyxYoLXW+saNGzogIKDAPk8//bR2d3c3v8b4+HjdsmVLrbXW6enp+ubNm1prrVNSUnTLli11bGys1lrrPn366H379lk8b34DBw7UoaGh5uVDhw5prbXetm2bHjx4cIH9T5w4oQ0Gg/n9iouLs1huYTGMHDlSL1u2TGut9ZYtW/QTTzxh8fjizFtWWIw5yno+rOKMJeijlAoHjgCRSqnflVLepUiQUVprg9baAHQCbgBrLOy6M2c/rfU7JT2fKL23fjxKRr4hkzKyNW/9eLSSIioep9q1se/Xlz4fvE306VO8M3Eihro1Sdr/Ixu++zePDnuYTq+H8sqcVfy4JZybGVm3LzSXsqp1hobH8vrqw8ReTUMDsVfTeH314VLXYlNTU9m1axdffPGFeSw/MP5y7927N8OGDaNDhw5MnjzZPHhs7dq1mTVrFl27duXXX3+1WO5DDz2EUgqlFF26dDH/QldKkZKSgtaa1NRUnJ2dsbOzfNVh48aNDBgwAGdnZxo0aMCAAQPYsGFDqV4v/PkD/Pr162itSU5OxsXFxeK+GzZs4MEHHwSM74mlOcsA/va3v7Fw4cICg/zWqFHDPAhwenp6ngF478SlS5dwc3MzL/v6+ha5/2effcZLL71kHk2+SZMmd3S+yMhI+vc3TknYr18/1q4tOOl7UFAQaWlpGAwGxo0bx759+/Dz8+PmzZtcv34db29vjhw5QlBQEDt37sRgMLBw4cI7iqMkitPp4lPg/7TWLbXWLYBXgc/K6Pz9gdPaOCK8qKKuplkenLaw9VVRC09P3vzsM/adO8XF2Bj++thjTA0IIPB8OKv37mPIA/fSqM29PPL4NEJ/3nvbDhtlmWSCN0aRli9ZpmVkEbwx6o7LyhNjaCiDBg2iXbt2ODs7mwe/Bdi7dy///Oc/OXz4MKdPnzZPC3L9+nV8fHzYs2ePefDawmRkZLBixQrzpIxTpkzh2LFjuLi4mCd4tLGx/BUTGxuLu7u7ednNza1Ac1yODz/8ED8/P/O0Hzmio6Pp2LEjffr0YefOnQDY29vz8ccf4+vri4uLC5GRkRZHgM/KyiIqKooOHToA8PPPPxeYXDJHixYt6NmzJytWrCiw7cKFC/j5+eHu7s706dPzJMdnnnkGg8HAnDlzclqOLHrllVe4//77efDBB1m4cCFXr141b8tJBgaDgblz5wJw4sQJTpw4QY8ePbjvvvuKTPSWYvD39zePRr9mzRpSUlJITEzMc9z8+fNxcnIiIiKCr7/+moCAAB599FHeeOMNpk2bxhNPPIGPjw/z58+nV69eRERElMm8a7dTnIRVS2u9LWdBax0G1Cqj848BChsWuZtS6qBS6ueianRKqUlKqf1Kqf3x8fFlFJaozpo2b86ib79l7rpvWfDtO3wY6ImbcyNuXTzOum+DGf5oL+rUb8jQp9/ihzW7uWahq3xZJpmLV9PuaH1xhYSEMGbMGADGjBmTZwTyLl260KpVK2xtbXn88cf55ZdfAONgxSNGjChW+S+++CK9e/c2T9OxceNGDAYDFy9eJCIigilTppCcbHkaGUtf4JamIHnhhRc4ffo0ERERNG/enFdffRWA5s2bc/78ecLDw3n//fcZO3YsycnJZGRk8PHHHxMeHs7Fixfx8/Nj3rx5Bcrds2cPXbt2NS/v2rWryAQ9Y8YMgoODC9Si3N3dOXToEKdOnWL58uXExcUBxlHpDx8+zM6dO9m5c6fFZJfjmWee4dixY4waNYqwsDDuu+8+8zWznGQQERHBzJkzAcjMzOTkyZOEhYUREhLCxIkT8yS5HIXFsGDBArZv307Hjh3Zvn07rq6uhdaEc5s1axabN29m//795rnOKlpxEtYZpdSbSikP0+MNoNRzEyilagCPAt9Z2HwAaKm19gf+DYQWVo7W+lOtdWetdeec2UNF2WpQ0/6O1lsVpXhkyotcSIwnJTWZdZ99TheP1qj061ywa8yre67Qoscwmnv48t78JVyMN34Bl2WScalv+abnwtYXR2JiIlu3bmXixIl4eHgQHBzMypUrzYkif3LIWXZ0dMTW9va9Kd9++23i4+N5//0/hxRdunQpw4cPRylFmzZt8PT0LLSzh5ubGxcuXDAvx8TEWGy6a9q0Kba2ttjY2PDcc8+xd+9ewHiLQ8OGDQHo1KkTrVu35sSJE+aRMVq3bo1SitGjR7N79+4C5eauUZ05cwZ3d3dq1Ch85Lk2bdpgMBhYtWqVxe0uLi54e3uba3o5o7/XqVOHsWPHmuMujIuLCxMmTGDt2rXY2dlx5MiRQvd1c3NjyJAh2Nvb4+npiZeXFydPniywX2ExuLi4sHr1asLDw821tnr16hUZH0BSUhKpqamkpKTc8XxqZaU4CWsC0BhYjfFaU2PgmTI494PAAa11XP4NWutkrXWq6flPgL1SqlEZnFOUwOxHvLG3zfsFZ2+rmP1IiS9lVkkODg4Mnvgsv52MJCMzg33/GEmoeyI1zuzhj3NHmP76s3h08KNp63ups3MZtW9eL1BGSZLM1EAvnPJ1uXeyt2VqoFeJX8v333/PU089xblz5zh79iwXLlzA09PTXJPau3cv0dHRZGdns3Llyts2/+X2+eefs3HjRkJCQvI0+bVo0YItW7YAEBcXR1RUFK1atbJYRmBgIJs2beLKlStcuXKFTZs25ZkZOEfuKT7WrFmDj48PAPHx8WRlGWu4Z86c4eTJk7Rq1QpXV1ciIyPJaW3ZvHmzxVHzt2zZYr6OU1RzYG4zZ85kwYIF5uWYmBjS0ow/UK5cucKuXbvw8vIiMzPT3DMxIyODdevWmeO2ZMOGDeaeln/88QeJiYl5pjvJb+jQoeZZnhMSEjhx4kSB97moGBISEsw1xXnz5jFhwgSL57G3tzfHBTBp0iTmzJnDuHHjzLNG16lTp0RTwpRUcWYcvqK1/qvW+l6tdUet9cta6yu3O64YHqeQ5kClVDNl+smnlOpiijPR0r6i/A3t6ErwSH9c6zuhANf6TgSP9Gdox8I/VNZOKYVN06YYXnqK+GsJRB44wIwnJ+DpYMflM+EcPbiFVMdaNE5Nwv7nD6gfHQ5a06/9ndfyh3Z0Zd5w3zzv77zhvqV6f0NCQhg2bFiedSNGjDB3Qe7WrRtBQUH4+Pjg6elZYN+iTJ48mbi4OLp164bBYOCdd4x9ot588012796Nr68v/fv3591336VRI8u/M52dnXnzzTcJCAggICCAWbNm4ezsDMDEiRPJmSZo2rRp5i7q27ZtM1/Y37FjB35+fvj7+zNy5EgWL16Ms7MzLi4uzJ49m969e+Pn50dERAQzZszIc+74+HgcHR2pW9c4FuWGDRuKlbC8vb259957zcvHjh2ja9eu+Pv706dPH1577TV8fX1JT08nMDAQPz8/DAYDrq6uPPfcc4WWu2nTJnx8fPD39ycwMJDg4GCaNWtW6P6BgYE0bNiQDh060K9fP4KDg821TYPBAFBkDGFhYXh5edGuXTvi4uLMTY25jwdjgvLz82PcuHF8+eWX2NnZMXbsWIKCgti3bx9bt27Fz88POzs7/P39K6TTRXHmw+oMzAA8yHWjsS7FJI5KqZrABaCV1vqaad1kU7mLlVJTgBeATCANY6ePgvX6fGQ+LFER/rh4kfFT/oU7NbiQfoONPy0Epajp2gGPZm0YcG87Jv7lqSJ/VVemsLAwFixYkGeW3rvJV199RUxMDEFBQaSnp9OjRw/ke6N8VMZ8WF8DU4HDQJnccam1vgE0zLduca7nHwIflsW5hChrzVxciGrXh+NAdlYmnjdTsT8XzuWEC0TGHCVyPzz42EM4no+nlq2mZi1H6tarY7FTgah4TzzxhPm5g4ODJCsrUpyEFa+1/rHcIxHCirjUdyL2aho2tnZkBwwhPWAI9YA212Nwj1xDHfsa6GzNpZSrZF9KxsbegVqONalfpzYNGzfEzr7yJkro27dvofcc5TZs2DCio/P2r3r33XctXmsqjMxp9ae5c+fy3Xd5+5iNGjUqT5OcKFpxmgT7Y7zetIW8Mw6vLt/Q7pw0CYqKEhoey9TvDua5odreRhE8ynht79ixY7Rv356ky/FciosjIyubrKw/L2DXb+hGPQc7atV2xKlOLal9iWpHa83x48crvEnwGaA9YM+fTYIaY69BIe5e+XNMrmVHR0cSExNp2KQxDZsaRyK4mXaTizExpN5II9vGlkvZdtw6dQp0FrVq1qF+7do0atwQe0eHinsNQpQDrTWJiYk4OjqWabnFSVj+WuuixwoR4i4TvDGKjKx8w1VlaYI3RjG0oytubm7ExMRg6WZ2+xp2ZN1IwCYjxRt3JgAAIABJREFUg+QrSWRkZpKg48kZ7kXZ2FK/dj0cHeywd3RAFTJahBBVmaOjY54hp8pCcRLWb0qpDlrryDI9sxBW7HY3Dufc1FlcCXGXWfLBZ3zwxadQtxn2w94g89ZNYhaNoXEjN4Z078fTY4bSfcRgbOyrwQ3bQpRAcX669QQilFJRSqlDSqnDSqlD5R2YEFVZWY9O0ahpE6bNnUnMH+eIObGH8Fd7MLNxIvXrOpN0LYHP1y6n1+PDsHVwpFeXQax9bymX9x+C21yDFqI6KU7CGgS0BQYCjwAPm/4V4q5VHqNT5Fa/iTOTZ0zmytV4bqWl8FPozzwyYBg1a9bhXON7eDmpCe1eeQ8bO3t823Zk9jN/5czO3ZLARLV2216C1kR6CYqKFBoeS/DGKC5eTcOlvhNTA70qZPSPrGzNkX3HmPP3+azbEsqtjFvoTGMHXmVjy6uP/R+P3OeDT09/nDv6gfRAFFVIaXoJSsISwsolp97g22Wr+OSLzzl++jhNJ31Gtl0NLn42mayrf9C1fScGdjIwfNSj+A4eJJ04RKWShGUiCUsIuH4zg/27DjM16DUiTx7lxo1kdIZxdO0aDjWZ8+QMurRpTI3mNen62ChsHcquG31l1TqF9ZCEZSIJS4iCrqamsfLrUD766N8k3QKHR4LIUIrzwUOwsbGlvVs7enq1415DB8a9+jK173AG2xw5k1rmnifMyd621AP5iupFEpaJJCwhbu/GrUx+3X2EoKmvcP7yZZKuJZJ5zTjLT90mrXhx4NP4OduwN+Ywf536Cp733VescnvM30qshe7+rvWd2BV0f5m+BmG9SpOwpDFbiLtMzRp29O9rYN++bcSdO0pqQiyr12/n/v5D6dTjYdY19eYvp5P41+pVtOrWDef6TejW1o9HA7pxcNV3kJlpsVxLyaqo9ULcqUobgVMpdRZIAbKAzPwZ1zQf1iLgIeAGMF5rfaCi4xSiunOws2XYQ70Z9lBvALKzNXsO+/Mf5wyios9zKuY8e84dR5+6yd5PNtP3x2j0mV84HnOUv40aydDnn6VBu3bYKkWWhRYbW+mlKMpIpTUJmhJWZ611QiHbHwL+gjFhdQUWaa27FlWmNAkKUT4uJKSw5LMV3Myux+GrirAf/8P1E39OUVfLsTZ2NjaM6DGOhGZtONakFbfs/hyR4+z8wZURtqiCynvw28oyBPhSGzPqb0qp+kqp5lrrS7c7UAhRttwb1WH26y+al2/MHc3W3YfZtH4zu38/wNHDu7l+5RKbDYOok5FO/JKXuJGSgK/LPTR39eTAmlsYHnkEG7uq/JUjqrrK/OvRwCallAY+0Vp/mm+7K8ZZiXPEmNZJwhKiktWsYcfDfTvycN+OgHF07s93RvNJ6D5q3kjmUoPmZN1K48Cl4+jzB1k3PBQ7W3s+HPN/+LvX58C1C3R+cBABgwfLfWGi2CozYfXQWl9USjUBNiuljmutd+Tabqnhu0D7pVJqEjAJoEWLFuUTqRCiSEopnuvdisZ1HAjeGEW9UW/Tvp4jw/2akHosnFXffkliehbz3HqhszXnF8+Ejz/CyaEmbRs2o05Ne8YM6M+UN9+A5s0r++WIKqpKdGtXSr0FpGqtF+Ra9wkQprUOMS1HAX2LahKUa1hCVG2JqekcPB3Hp4v+zdGoE1y8lkxK3BkyEs7j0LQ1AwKn0D7pHJ/97zO6tWrNMw8/RJehj9KiSxdsbG1vfwJR5VndfVhKqVqAjdY6xfR8M/CO1npDrn0GA1P4s9PFB1rrLkWVKwlLCOuitSb2aho790Wyf99RLqXXZO+585z++nXIzswzmO8gr468O3QEDVs1JYJsBjz1FDXKeILA8iCjf+RljQmrFbDGtGgHfKO1nquUmgygtV5s6tb+IcbR4m8Az2iti8xGkrCEsH5aa84l3mB/5Hm2bdzKL7/t4njEdmrf9xh1fPuT8usqknZ8iY2yoWX9xrRp1JB6DeowZ+prtH/4YahCSUxG/yjI6hJWeZGEJUT1pLXmQlIaR84lsGn9ZtaHhnA1257UK5dIvxiFzriJd+AU+jjV5nTkZn6PiWJUp8480LcXHQYMoG337thWQpOijP5RkCQsE0lYQtw9tNbEJadz6HwiP69Zz3XlzPHrigM/f8r1I1sgO5vc/bQ+f/RZ7mvjyv6UP7jR0JnRU6bQ0LV8azmeQesL9hTD2KMs+i69N00SlokkLCFEys0Mjv+RQvjhM+zavotfdm7mYswpmj75TwBiPnqGrJR4AOo61KS+owNuDRrwy4JglJ8vGe7u2JdRs6I117DK69qbJCwTSVhCCEsys7I5m3iD4xev8r/1m9i96xcup2WRkBBD2qm9aK3xnvwFXgnnWLdyFlpnEeDSgs6eLanbvAndH3yQQU8+CXd4z1hoeCxTvz9IRtaf37P2torgkf5V+hpWeV57q64jXQghRJmws7WhTZPatGlSm4cNE4AJACTfzCDqjxSOnonj1KlLRF2qQY0WvtxMTWJvWha7ftkJ2Zk4/fgz077dS7saWczc8R3tmzVldOBAOvTqRdvevXFu3Ljwk+evE1hBHSF4Y1SeZAWQlpFF8MaoSk20UsMSQohccq6NRcWlEHkyhg1r1nAxOZ3rnt1Jzcriwr/GQHYW6GzzMe0bNmfZw6No4d6QoJ1bGThoEP0ee4yR357h4rWbBc5R1ZsEy/Pam9SwhBCijCilaFbPkWb1HOnTrjEvDDYOP5Wdbbxn7OTEC0SeusiBfQc5FHmEY3s38UerzjzWbCBppw5xeft2vty+HV5/nRo2digFfdx98W/fk2O1GhB56yYXWpfo+7rCuNR3snjtzaW+UyVE8ydJWEIIUQw2Ngp355q4O9fk/vZN4eE/E9ml5JucupzK8bMe7HB14kzMJS4kXeFK7EnSTu1lr0dHznXog80v33Bm72oAmnxSG/e6dcm2VSyc9Bx9R4zgpqsr9nXrVkoX/NymBnpZvPY2NdCrEqOShCWEEKViY6Nwre+Ea30n+rRrzPMDvc3bvvr1HLN/PEJ2Vjb2t26Q2SqABtevklWzLtevX+HQxRNkXr3IxN2XCTj+Iyd2hXDgwhFcatWlQ+MmuDR2xr5+PebMmkXzrl3B3r6ISMpYFbz2JglLCCHKSW1HO2xsFFnahhTH2tDSl4at/PjHMF/83OpzJj6VE2f/IPpcPOeTbhJ/rR/26de5Urcx26/+Qca5/aCzSbJtj3/mCv57aANHEmPp4d4SP48W1GveHGdPT16cMQO7WrXKLO7gjVFkZOfNUBnZutI7XUjCEkKIchK8MSpPsxpARpbmX/87ya6g+/FqVocHfXOPTv8oSdcXEJ1wnej4VI6fOMfeXb+Q1rA9K2/ZEJN0kYzryexMzWLbL7vRmbcASPjtMp42Gfzn4GYuXL/GEF9f2rVrS01XV9oEBDBw+PA7ivuihetXRa2vKJKwhBCinJTki9+5Vg2ca9WgU8sG0NkdxvYEjL0X42cMJDrhOmcTrnP6XBz7f91NVNQxvvd9iBvY8seJcG4lX+WLg0fJ3vMbADbKhn/3fYIWNRUz92wgg2we7dyZVu29cHRzw79PH/w75+0EIp0uhBDiLlOWX/xKKZrUdaRJXUe6tmoIXVrAqADAmMwSUm9x/oVunE24wbmLSZw8cZa9u7fxR1IS73UZDUDsro1kXU/h2KZNsOFnAJzsavBJ38dwq23Hc2Frca5VE/+23mTdqkeCYz1utuqEXUM3nOxtK73ThdyHJYQQ5aSqjNaemp7JhaQbnEu8QUxiKmfP/sGxqFNE/LaVZFWDWgHDADi/aAxkZaEzbpLTy6Jl3cb0e/xNhjw/XIZmKkuSsIQQVU1Vnw8rO1tzOSWdC1duEHPlBhfikjl79hInz5zl4K+bSW/Slg1BT9AxoGxqV1aVsJRS7sCXQDMgG/hUa70o3z59gbVAtGnVaq31O7crWxKWEEKUrcysbJRS2NqoMinP2ka6yARe1VofUErVAX5XSm3WWkfm22+n1vrhSohPCCHuelWxZljhCUtrfQm4ZHqeopQ6BrgC+ROWEEKISpD/2lvs1TReX30YoFKT1p2NlV/GlFIeQEdgj4XN3ZRSB5VSPyulvC1szyljklJqv1Jqf3x8fDlFKoQQd4+iRmuvTJWWsJRStYEfgL9prZPzbT4AtNRa+wP/BkILK0dr/anWurPWunPjoob4F0IIUSxV9cbhSklYSil7jMnqa6316vzbtdbJWutU0/OfAHulVKMKDlMIIe5Khd0nVtk3Dld4wlJKKeAL4JjW+v1C9mlm2g+lVBeMcSZWXJRCCHH3mhrohZN93hHjq8KNw5XRS7AH8CRwWCkVYVo3A2gBoLVeDIwEXlBKZQJpwBhdnW4YE0KIKiynY0VV6yUoNw4LIYSoMKW5D6tSewkKIYQQxSUJSwghhFWQhCWEEMIqSMISQghhFapVpwulVDxwroyKawQklFFZFcla4wbrjV3irlgSd8Uq67hbaq1LNMpDtUpYZUkptb+kPVkqk7XGDdYbu8RdsSTuilWV4pYmQSGEEFZBEpYQQgirIAmrcJ9WdgAlZK1xg/XGLnFXLIm7YlWZuOUalhBCCKsgNSwhhBBWQRKWEEIIq3BXJiyl1CClVJRS6pRSKsjCdgel1ErT9j2mmZFztr1uWh+llAq0hriVUgOUUr8rpQ6b/r3fGuLOtb2FUipVKfVaRcVsOm9p/k78lFK/KqWOmt53R2uIXSllr5Rabor5mFLq9SoWd2+l1AGlVKZSamS+bU8rpU6aHk9XXNQlj1spZcj1d3JIKfWYNcSda3tdpVSsUurDCglYa31XPQBb4DTQCqgBHAQ65NvnRWCx6fkYYKXpeQfT/g6Ap6kcWyuIuyPgYnruA8Raw/uda/sPwHfAa9YQN8Zpew4B/qblhhX1d1IGsY8FvjU9rwmcBTyqUNwegB/wJTAy13pn4Izp3wam5w2sIO52QFvTcxfgElC/qseda/si4Bvgw4qI+W6sYXUBTmmtz2itbwHfAkPy7TMEWG56/j3Q3zSh5BCMH+Z0rXU0cMpUXpWOW2sdrrW+aFp/FHBUSjlUSNSle79RSg3F+OVztILizVGauAcCh7TWBwG01ola66wKihtKF7sGaiml7AAn4BaQXDFh3z5urfVZrfUhIDvfsYHAZq11ktb6CrAZGFQRQVOKuLXWJ7TWJ03PLwKXgRKNAlECpXm/UUp1ApoCmyoiWLg7mwRdgQu5lmNM6yzuo7XOBK5h/JVcnGPLS2nizm0EEK61Ti+nOPMrcdxKqVrAdODtCogzv9K83+0ArZTaaGpOmVYB8VqMy+ROYv8euI7xl/55YIHWOqm8A84fk8mdfL6q+mfztpRxdvUaGGs9FaHEcSulbIB/AlPLIa5CVcaMw5VNWViXv29/YfsU59jyUpq4jRuV8gbexVgDqCilifttYKHWOtVU4apIpYnbDugJBAA3gC3KOGndlrINsVClib0LkIWxeaoBsFMp9T+t9ZmyDdGi0ny+qvpns+gClGoOrACe1loXqM2Uk9LE/SLwk9b6QkV+Nu/GGlYM4J5r2Q24WNg+pqaRekBSMY8tL6WJG6WUG7AGeEprXVG/4PLEZHIncXcF3lNKnQX+BsxQSk0p74Dzx2Ryp38n27XWCVrrG8BPwL3lHrGFuEzuJPaxwAatdYbW+jKwC6ioceRK8/mq6p/NQiml6gLrgTe01r+VcWxFKU3c3YApps/mAuAppdT8sg3Pgoq4UFaVHhh//Z7B2Gki50Kjd759XiLvBelVpufe5O10cYaK63RRmrjrm/YfYU3vd7593qJiO12U5v1uABzA2GnBDvgfMNhKYp8OLMX467sWEAn4VZW4c+27jIKdLqJN730D03NnK4i7BrAF+FtF/X2URdz5to2ngjpdVOgbVFUewEPACYxtxTNN694BHjU9d8TYK+0UsBdolevYmabjooAHrSFu4A2M1yUicj2aVPW485XxFhWYsMrg7+QJjB1FjgDvWcvfOFDbtP4oxmQ1tYrFHYCxZnAdSASO5jp2gun1nAKesYa4TX8nGfk+m4aqHne+MsZTQQlLhmYSQghhFe7Ga1hCCCGskCQsIYQQVkESlhBCCKsgCUsIIYRVkIQlhBDCKkjCEqKElFL1lVIv5lp2UUp9X07nGqqUmlWG5S2o6FH7hSgt6dYuRAmZpuRYp7X2qYBz7cZ4b0xCGZXXEvhMa12Rw3QJUSpSwxKi5OYDrZVSEUqpYKWUh1LqCIBSarxSKlQp9V+lVLRSaopS6v+UUuFKqd+UUs6m/VorpTYo4zxlO5VS7fOfRCnVDkjPSVZKqVFKqSNKqYNKqR2mdbamGPaZ5lV6Ptfx00zzWx3MGT5Ha30O4wDDzcr9XRKijNyNg98KUVaCAB+ttQHMNa7cfDDOReaIcfSF6VrrjkqphcBTwL+AT4HJWuuTSqmuwEdA/qa6HhiHesoxCwjUWscqpeqb1j0LXNNaB5imjtmllNoEtAeGAl211jdyEqXJAVPZP5T4HRCiAknCEqL8bNNapwApSqlrwH9N6w8Dfkqp2kB34LtcI15bmqesORCfa3kXsEwptQpYbVo30FRmzqyw9YC2wAPAUm0chBedd6qQyxhHZRfCKkjCEqL85J5zLDvXcjbGz54NcDWnhlaENIwJCACt9WRTbWwwEKGUMmAcrPYvWuuNuQ9USg2i8CkjHE1lC2EV5BqWECWXAtQp6cFa62QgWik1CkAZ+VvY9RjQJmdBKdVaa71Haz0LSMA4RcRG4AWllL1pn3amCTA3AROUUjVN63M3CbbDODivEFZBEpYQJaS1TsR4reiIUiq4hMWMA55VSh3EOEJ6/qnsAXYAHdWf7YbBpk4UR0zbDgKfYxxd/YBp/SeAndZ6A/AjsF8pFQG8BmBKbG2A/SWMW4gKJ93ahbACSqlFwH+11v8ro/KGAfdqrd8si/KEqAhSwxLCOvwD44SQZcUO+GcZlidEuZMalhBCCKsgNSwhhBBWQRKWEEIIqyAJSwghhFWQhCWEEMIqSMISQghhFSRhCSGEsAqSsIQQQlgFSVhCCCGsgiQsIYQQVkESlhBCCKsgCUsIIYRVkIQlhBDCKkjCEkIIYRXsKjuAstSoUSPt4eFR2WEIIYQoxO+//56gtW5ckmOrVcLy8PBg/36ZQFUIIaoqpdS5kh4rTYJCCCGsgiQsIYQQVkESlhBCCKtQra5hWZKRkUFMTAw3b96s7FCEqHCOjo64ublhb29f2aEIUWrVPmHFxMRQp04dPDw8UEpVdjhCVBitNYmJicTExODp6VnZ4QhRatW+SfDmzZs0bNhQkpW46yilaNiwobQuiGqjUhKWUmqJUuqyUupIIdv7KqWuKaUiTI9ZpTxfaQ4XwmrJ376oTiqrSXAZ8CHwZRH77NRaP1wx4QghRPUTGh5L8MYoLl5Nw6W+E1MDvRja0bWywyqxSqlhaa13AEmVce7KsmbNGpRSHD9+vMzKHDduHF5eXvj4+DBhwgQyMjIAuHbtGo888gj+/v54e3uzdOnSIstZvnw5bdu2pW3btixfvtziPm+99Raurq4YDAYMBgM//fQTAGfPnsXJycm8fvLkyeZjQkJC8PX1xc/Pj0GDBpGQkGCx7EuXLjFw4EDz8qBBg4iNjc2zz/jx43F1dSU9PR2AhIQEckY1OXfuHJ06dcJgMODt7c3ixYvNx/Xt2xcvLy9zfJcvXy70fYiKiqJv374YDAbuueceJk2aBEBYWBj16tUzl/HAAw+Yj1m1ahUdOnTA29ubsWPHWiy3sBjOnTtH//798fPzo2/fvsTExFg8/h//+EehMec4e/Ys33zzzW33E3eP0PBYXl99mNiraWgg9moar68+TGh47G2PrbK01pXyADyAI4Vs6wskAgeBnwHvIsqZBOwH9rdo0ULnFxkZWWBdUdYciNHd523RHtPX6e7ztug1B2Lu6PjCjBo1Svfs2VPPnj37jo/NzMy0uH79+vU6OztbZ2dn6zFjxuiPPvpIa6313Llz9bRp07TWWl++fFk3aNBAp6enWywjMTFRe3p66sTERJ2UlKQ9PT11UlJSgf1mz56tg4ODC6yPjo7W3t7eBdZnZGToxo0b6/j4eK211lOnTi30tS9ZskQvWLBAa631jRs3dEBAQIF9nn76ae3u7m5+jfHx8bply5Zaa63T09P1zZs3tdZap6Sk6JYtW+rY2FittdZ9+vTR+/bts3je/AYOHKhDQ0PNy4cOHdJaa71t2zY9ePDgAvufOHFCGwwG8/sVFxdnsdzCYhg5cqRetmyZ1lrrLVu26CeeeMLi8bVq1bpt7IXFqPWdfwZE9dB93hbdcvq6Ao/u87ZUalzAfl3CvFFVO10cAFpqrf2BfwOhhe2otf5Ua91Za925ceMSDU9lVl6/SFJTU9m1axdffPEF3377rXl9WFgYvXv3ZtiwYXTo0IHJkyeTnZ0NQO3atZk1axZdu3bl119/tVjuQw89hFIKpRRdunQx/0JXSpGSkoLWmtTUVJydnbGzs9z6u3HjRgYMGICzszMNGjRgwIABbNiwoVSvF/78IXT9+nW01iQnJ+Pi4mJx3w0bNvDggw8Cxvekb9++Fvf729/+xsKFC8nMzMyzvkaNGjg4OACQnp5ufg/v1KVLl3BzczMv+/r6Frn/Z599xksvvUSDBg0AaNKkyR2dLzIykv79+wPQr18/1q5dW2CfoKAg0tLSMBgMjBs3jn379uHn58fNmze5fv063t7eHDlyhKCgIHbu3InBYGDhwoV3FIeoni5eTbuj9dagSiYsrXWy1jrV9PwnwF4p1ai8zxu8MYq0jKw869IysgjeGFWqckNDQxk0aBDt2rXD2dmZAwcOmLft3buXf/7znxw+fJjTp0+zevVqAK5fv46Pjw979uyhZ8+eRZafkZHBihUrGDRoEABTpkzh2LFjuLi44Ovry6JFi7CxsfxfHRsbi7u7u3nZzc2tQHNcjg8//BA/Pz8mTJjAlStXzOujo6Pp2LEjffr0YefOnQDY29vz8ccf4+vri4uLC5GRkTz77LMFyszKyiIqKooOHToA8PPPP5tfR34tWrSgZ8+erFixosC2Cxcu4Ofnh7u7O9OnT8+THJ955hkMBgNz5szJqZVb9Morr3D//ffz4IMPsnDhQq5evWrelpMMDAYDc+fOBeDEiROcOHGCHj16cN999xWZ6C3F4O/vzw8//AAYm4xTUlJITEzMc9z8+fNxcnIiIiKCr7/+moCAAB599FHeeOMNpk2bxhNPPIGPjw/z58+nV69eRERE8MorrxQah7h7uNR3uqP11qBKJiylVDNl6t6klOqCMc7Eoo8qvfL6RRISEsKYMWMAGDNmDCEhIeZtXbp0oVWrVtja2vL444/zyy+/AGBra8uIESOKVf6LL75I79696dWrF2CsNRkMBi5evEhERARTpkwhOTnZ4rGWvsAt9Sx74YUXOH36NBERETRv3pxXX30VgObNm3P+/HnCw8N5//33GTt2LMnJyWRkZPDxxx8THh7OxYsX8fPzY968eQXK3bNnD127djUv79q1q8gEPWPGDIKDgwvUotzd3Tl06BCnTp1i+fLlxMXFAfD1119z+PBhdu7cyc6dOy0muxzPPPMMx44dY9SoUYSFhXHfffeZr5nlJIOIiAhmzpwJQGZmJidPniQsLIyQkBAmTpyYJ8nlKCyGBQsWsH37djp27Mj27dtxdXUttCac26xZs9i8eTP79+9n2rRpt91f3J2mBnrhZG+bZ52TvS1TA70qKaLSq6xu7SHAr4CXUipGKfWsUmqyUirniv1I4IhS6iDwATBGF/XTuIyUxy+SxMREtm7dysSJE/Hw8CA4OJiVK1eaE0X+5JCz7OjoiK2tbYHy8nv77beJj4/n/fffN69bunQpw4cPRylFmzZt8PT0LLSzh5ubGxcuXDAvx8TEWGy6a9q0Kba2ttjY2PDcc8+xd+9eABwcHGjYsCEAnTp1onXr1pw4cYKIiAgAWrdujVKK0aNHs3v37gLl5q5RnTlzBnd3d2rUqFHo623Tpg0Gg4FVq1ZZ3O7i4oK3t7e5pufqauwRVadOHcaOHWuOuzAuLi5MmDCBtWvXYmdnx5EjFu+8AIzv3ZAhQ7C3t8fT0xMvLy9OnjxZYL/CYnBxcWH16tWEh4eba2316tUrMj6ApKQkUlNTSUlJkXusRKGGdnRl3nBfXOs7oQDX+k7MG+4rvQTvlNb6ca11c621vdbaTWv9hdZ6sdZ6sWn7h1prb621v9b6Pq11wW+6clAev0i+//57nnrqKc6dO8fZs2e5cOECnp6e5prU3r17iY6OJjs7m5UrV962+S+3zz//nI0bNxISEpKnya9FixZs2bIFgLi4OKKiomjVqpXFMgIDA9m0aRNXrlzhypUrbNq0icDAwAL7Xbp0yfx8zZo1+Pj4ABAfH09WlrEZ9cyZM5w8eZJWrVrh6upKZGQk8fHxAGzevJl77rmnQLlbtmwxX8cpqjkwt5kzZ7JgwQLzckxMDGlpxlrwlStX2LVrF15eXmRmZpp7JmZkZLBu3Tpz3JZs2LDB3NPyjz/+IDEx0ZxsLBk6dCjbtm0DjL0WT5w4UeB9LiqGhIQEc01x3rx5TJgwweJ57O3tzXEBTJo0iTlz5jBu3DimT58OGJNhSkpKobGKu9PQjq7sCrqf6PmD2RV0v1UnK6iiTYKVpTx+kYSEhDBs2LA860aMGGHugtytWzeCgoLw8fHB09OzwL5FmTx5MnFxcXTr1g2DwcA777wDwJtvvsnu3bvx9fWlf//+vPvuuzRqZPkSoLOzM2+++SYBAQEEBAQwa9YsnJ2dAZg4caJ5frFp06aZu6hv27bNfGF/x44d+Pn54e/vz8iRI1m8eDHOzs64uLgwe/ZsevfujZ+fHxEREcyYMSPPuePj43F0dKRu3bqAMWGH9LDJAAAgAElEQVQUJ2F5e3tz7733mpePHTtG165d8ff3p0+fPrz22mv4+vqSnp5OYGAgfn5+GAwGXF1dee655wotd9OmTfj4+ODv709gYCDBwcE0a9as0P0DAwNp2LAhHTp0oF+/fgQHB5trmwaDAaDIGMLCwvDy8qJdu3bExcWZmxpzHw/GBOXn58e4ceP48ssvsbOzY+zYsQQFBbFv3z62bt2Kn58fdnZ2+Pv7S6cLUW2pCmhpqzCdO3fW+SdwPHbsmMVf9lVBWFgYCxYsYN26dZUdSqX46quviImJISgoiPT0dHr06CETcJaD8vwMVLcbU0X5U0r9rrXuXJJjq/3gt6LqeuKJJ8zPHRwcJFlZmZzbQHJ61ubcBgJI0hLlQhJWJerbt2+h9xzlNmzYMKKjo/Ose/fddy1eayrM4cOHefLJJ/Osc3BwYM+ePcUuo7qYO3cu3333XZ51o0aNytMkJ26vqNtAJGGJ8iAJywqsWbOm1GX4+vqae+7d7WbOnCnJqQxUxxtTRdV2V3S6qE7X6YS4E+X5t18db0wVVVu1T1iOjo4kJiZK0hJ3HW2awNHR0bFcyq+ON6aKqq3aNwm6ubkRExNjvh9IiLuJo6NjnvERy1LOdSrpJSgqSrXv1i6EEKLqKE239mrfJCiEEKJ6kIQlhBDCKkjCEkIIYRUkYQkhhLAKkrCEEEJYBUlYQgghrEJlTeC4RCl1WSlV+Ox4xv0ClFJZSqmRFRWbEEKIqqmyaljLgCInPlJK2QLvAhsrIiAhhBBVW2XNOLwDSLrNbn8BfgAul39EQgghqroqeQ1LKeUKDAMWV3YsQgghqoYqmbCAfwHTtdZZt9tRKTVJKbVfKbVfxgsUQojqq6oOftsZ+FYpBdAIeEgplam1Ds2/o9b6U+BTMI4lWKFRCiGEqDBVMmFprT1zniullgHrLCUrIYQQd49KSVhKqRCgL9BIKRUDzAbsAbTWct1KCCFEAZWSsLTWj9/BvuPLMRQhhBBWoqp2uhBCCCHyqJLXsIT1CQ2PlZlnhRDlShKWKLXQ8FheX32YtAzjXQixV9N4ffVhAElaQogyI02CotSCN0aZk1WOtIwsgjdGVVJEQojqSBKWKLWLV9PuaL0QQpSEJCxRai71ne5ovRBClESpEpZSqpVS6r9KqQTTdCFrlVKtyio4YR2mBnrhZG+bZ52TvS1TA70qKSIhyldoeCw95m/FM2g9PeZvJTQ8trJDuiuUtob1DbAKaAa4AN8BIaUNSliXoR1dmTfcF9f6TijAtb4T84b7SocLUS3ldDKKvZqG5s9ORpK0yp/SuuTD7yml9mitu+Zb95vW+r5SR1YCnTt31vv376+MU4u7mHTpv7v0mL+VWAvXZ13rO7Er6P5KiMi6KKV+11p3Lsmxpe3Wvk0pFQR8C2jgMWC9UsoZQGt9uzmvhLBq0qX/7iOdjCpPaRPWY6Z/n8+3fgLGBCbXs0S1VlSXfklY1ZNLfSeLNSzpZFT+SpWwco+qLsTdSH5t332mBnrlqVWDdDKqKKVKWEopW2Aw4JG7LK31+6ULSwjrIL+27z45NWe5blnxStsk+F/gJnAYyC59OEJYF/m1fXca2tFVElQlKG3CctNa+5VJJEJYIfm1LUTFKW3C+lkpNVBrvalMohHCCsmvbSEqRmlvHP4NWKOUSlNKJSulUpRSybc7SCm1xDQyxpFCtg9RSh1S6v/bu/dgO6oy7+PfH7kQuQaTwwgESITEGPNymyOIWAojAwGnEixxhgy8iGbMAINTvgqCrxoEq2aQS6HzCi9GBqNOCSI6GBgkjIjGQsPLgRBIwiDHcDvBqYRwlWuA5/2j+8Dm5NyyL9299v59qnaxu3t17+cszs5z1urVa+keST2SPtBgnGZmlrhGW1iXAIcC98XWPYG8BPgW8P0hjt8KLI2IkLQf2WwaMxsJ1KxV/OCwWTEaTVgPAqu3MlkREcslTR3m+J9qNrcne6bLrHL84LBZcRpNWH8EfiXp58DL/TubMaxd0keBfwZ2JRs6P1S5hcBCgL322qvRjzXbKp3+4LBbl1akRhPWQ/lrfP5qmoj4d7L7Yx8EvgYcOUS5xcBiyOYSbGYM9fAXuLN08oPDbl1a0Rqd6eI8AEnbR8TzzQlpi89YLmkfSZMj4olWfEazXL9yPWddt4rNr2V5c/3TL3LWdasAf4HbVSc/ONzprUsrXqPrYR0qaS1wf769v6TLGw1K0r6SlL8/iKz1tqnR67baeTeseSNZ9dv8WnDeDWtKisharZPXAuvk1qWVo9EuwW8ARwNLASJiVd6FNyxJVwOHA5Ml9QHnAuPya1wBfAw4WdJm4EXgb7Z2YEcZnnph81btbyed2hXayQ8Od3LrMhXt9r1sNGEREY/ljaF+rw1Vtuac+SMc/zrw9QZDs4J0+r2MTn1w2NNSVVs7fi8bfXD4MUnvB0LSeElnkncPdqKJbxu3VfvbxXD3Mqx9eaXpamvH72WjLaxTgW8CewB9wC3A6Y0Glaq/2n83/m3Fo4Pub2e+l9G5OrV1mYJ2/F422sJ6V0ScGBF/FhG7RsRJwLubEViKbvuvjVu1v10Mdc/C9zLMytOO38tGE9b/GeW+jtCOf9GMRiePlLPOdP3K9Rx2wS+Zds5/cNgFv+T6levLDmkL7fi9rKtLUNKhwPuBLkmfqzm0EzBm8LPaX6eOmurkkXLWeVIZzNCO38t672GNB3bIz9+xZv+zwPGNBpWqI2Z2DXoP64iZXSVEUyzfy7BOkdID0+32vawrYUXEr4FfS1oSEY80OaZkdeo9LLNO0qld/1XQ0D0sJ6u38i+yWftrx8EMqWh00IXV8C+yWftrx8EMqXDCaiL/Ipu1Pz8wXZ6GHhyWNAFYALwHmNC/PyI+1WBcSWrHUTlmtqV2G8yQikZnuvgB8F9kE+CeD5xIB0/NBP5FNjNrlUa7BPeNiK8Az0fE98hWBv4fjYdlZmb2Vo22sPrXzXha0mzgv4GpDV7TzKzS2m3ZjlQ0mrAWS9oF+ArZmlg7AIsajsrMrKJSmemiHTWUsCLiyvztr4F3Nh6OmVm1pTTTRbtpdJTgtmSrA0+tvVZEnD/CeVcBfwVsiIjZgxw/ETg73/wTcFpErGokVjOzZvAEAeVpdNDFz4B5wKvA8zWvkSwB5gxz/CHgQxGxH/A1YHFjYZqZNYcnCChPo/ewpkTEcIlnUBGxXNLUYY7/tmZzBTBl60MzM2u+s45+11vuYYEnCChKoy2s30pq9TD2BcDPhzooaaGkHkk9Gzd6klkzay3PdFEeRUT9J0trgX3JuvBeBgRE3pU30rlTgRsHu4dVU+YI4HLgAxGxaaRrdnd3R09Pz+iCNzOzwkm6KyK66zm30S7BYxo8f0iS9gOuBI4ZTbIyM7P21uiw9pYsLyJpL+CnwP+MiN+34jPMmsUPkZoVo9EWVl0kXQ0cDkyW1AecC4wDiIgryB4+ngRcLgng1XqbkGat5IdIzYpTSsKKiPkjHP874O8KCsesbn6I1Kw4Xg/LrAF+iNSsOKW0sNpZp97P6NSfe/eJb2P9IMnJD5GaNZ9bWE3Ufz9j/dMvErx5P+P6levLDq2lOvXnBq8ybVYkJ6wmGu5+Rjvr1J8b/BCpWZHcJdhEnXo/o1N/7n5eZdqsGG5hNVGnTorZqT+3mRXLCauJOvV+Rqf+3GZWLHcJNlF/t1CnjZbr1J/bzIrV0OS3VePJb83Mqq2RyW/dJWhmZklwwjIzsyT4HpY1RafOdGFmxXHCsoZ5xnIzK4K7BK1hnTzThZkVxwnLGtbpM12YWTFKSViSrpK0QdLqIY7PlPQ7SS9LOrPo+GzreKYLMytCWS2sJcCcYY4/CfwjcHEh0VhDPNOFmRWhlIQVEcvJktJQxzdExJ3A5uKisnp5xnIzK0LyowQlLQQWAuy1114lR9O5PGO5mbVa8oMuImJxRHRHRHdXV1fZ4ZiZWYskn7DMzKwzOGGZmVkSSrmHJelq4HBgsqQ+4FxgHEBEXCHpHUAPsBPwuqTPArMi4tky4jUzs/KVkrAiYv4Ix/8bmFJQOGZmlgB3CZqZWRKSH9ZuZmaDa7dVFJywzMzaUDuuouAuQTOzNtSOqyg4YZmZtaF2XEXBCcvMrA214yoKTlhmZm2oHVdR8KALM7M21D+wwqMEzcys8tptFQV3CZqZWRKcsMzMLAlOWGZmlgQnLDMzS4ITlpmZJcEJy8zMkuCEZWZmSVBElB1D00jaCDxSdhy5ycATZQcxCinEmUKM4DibKYUYwXHWY++I6KrnxLZKWFUiqSciusuOYyQpxJlCjOA4mymFGMFxFs1dgmZmlgQnLDMzS4ITVussLjuAUUohzhRiBMfZTCnECI6zUL6HZWZmSXALy8zMkuCEZWZmSXDC2kqS5kh6QFKvpHMGOb6tpB/lx++QNLXm2Bfz/Q9IOrqKcUr6S0l3Sbov/+9fVDHOmuN7SfqTpDOrGqek/ST9TtKavF4nVClGSeMkfS+P7X5JX2xFfFsR5wcl3S3pVUnHDzj2CUkP5q9PVDFOSQfU/P++V9LfVDHOmuM7SVov6VutjLMpIsKvUb6AMcAfgHcC44FVwKwBZU4HrsjfnwD8KH8/Ky+/LTAtv86YCsZ5ILB7/n42sL6K9Vlz/CfAj4Ezqxgn2SKp9wL759uTWvH/vcEY/xa4Jn+/HfAwMLXEupwK7Ad8Hzi+Zv/bgXX5f3fJ3+9SwThnANPz97sDfwQmVi3OmuPfBH4IfKsVMTbz5RbW1jkY6I2IdRHxCnANMG9AmXnA9/L31wEflqR8/zUR8XJEPAT05terVJwRsTIiHs/3rwEmSNq2anECSDqO7B+tNS2KrxlxHgXcGxGrACJiU0S8VrEYA9he0ljgbcArwLMtiHFUcUbEwxFxL/D6gHOPBv4zIp6MiKeA/wTmVC3OiPh9RDyYv38c2ADUNbNDK+MEkPTnwJ8Bt7QovqZywto6ewCP1Wz35fsGLRMRrwLPkP1VPZpzqxBnrY8BKyPi5arFKWl74GzgvBbF1pQ4yf7aDknL8m6ZL1QwxuuA58laAo8CF0fEkyXG2Ypzt1ZTPkvSwWQtnz80Ka6B6o5T0jbAJcBZLYirJcaWHUBiNMi+gc8FDFVmNOc2SyNxZgel9wBfJ2shtEojcZ4HXBoRf8obXK3USJxjgQ8A7wVeAG6VdFdE3NrcEBuK8WDgNbLuq12A30j6RUSsa26Iw8bQ6nO3VsOfJWk34AfAJyJii9ZNkzQS5+nATRHxWAHfoaZwC2vr9AF71mxPAR4fqkzexbIz8OQoz61CnEiaAvw7cHJEtOovw0bjPAS4UNLDwGeB/y3pjArG2Qf8OiKeiIgXgJuAgyoW498CN0fE5ojYANwOtGreuUa+B1X7Dg1J0k7AfwBfjogVTY6tViNxHgqckX+HLgZOlnRBc8NrsrJvoqX0IvtreR3ZoIn+G5zvGVDmH3jrje1r8/fv4a2DLtbRukEXjcQ5MS//sSrX54AyX6W1gy4aqc9dgLvJBjOMBX4BfKRiMZ4NfJfsr/XtgbXAfmXVZU3ZJWw56OKhvE53yd+/vYJxjgduBT7bqt/JZsQ54NgpJDDoovQAUnsBxwK/J+uT/lK+73xgbv5+AtmotV7g/wHvrDn3S/l5DwDHVDFO4Mtk9zPuqXntWrU4B1zjq7QwYTXh//tJZANDVgMXVi1GYId8/xqyZHVWyXX5XrKWw/PAJmBNzbmfyuPvBT5ZxTjz/9+bB3yHDqhanAOucQoJJCxPzWRmZknwPSwzM0uCE5aZmSXBCcvMzJLghGVmZklwwjIzsyQ4YZmZWRKcsMzqJGmipNNrtneXdF2LPus4SYuaeL2LW710jFmz+Tksszrl60ndGBGzC/is35I9CPpEk663N/CdiGjlXJFmTeUWlln9LgD2kXSPpIskTZW0GkDSKZKul3SDpIcknSHpc5JWSloh6e15uX0k3axssczfSJo58EMkzQBe7k9Wkj4uabWkVZKW5/vG5DHcmS8a+Pc1538hX5xxVf9ccRHxCNms9+9oeS2ZNYlnazer3znA7Ig4AN5ocdWaTbYg5gSyqYTOjogDJV0KnAx8A1gMnBoRD0o6BLgcGNhVdxjZfIT9FgFHR8R6SRPzfQuAZyLivfn6ZbdLugWYCRwHHBIRL/Qnytzd+bV/UncNmBXICcusdW6LiOeA5yQ9A9yQ778P2E/SDsD7gR/XLO8w2GKZuwEba7ZvB5ZIuhb4ab7vqPya/Uug7wxMB44EvhvZTPHEW9e52kC2pIhZEpywzFqnduHL12u2Xyf77m0DPN3fQhvGi2QJCICIODVvjX0EuEfSAWQzrX8mIpbVnihpDkOvjzQhv7ZZEnwPy6x+zwE71ntyRDwLPCTp4wDK7D9I0fuBffs3JO0TEXdExCLgCbL1kJYBp0kal5eZka/KfAvwKUnb5ftruwRnkM0gb5YEJyyzOkXEJrJ7RaslXVTnZU4EFkhaRba8x7xByiwHDtSb/YYX5YMoVufHVgFXki0Ncne+/9vA2Ii4GVgK9Ei6BzgTIE9s+wI9dcZtVjgPazdLgKRvAjdExC+adL2PAgdFxFeacT2zIriFZZaGfyJbtbhZxgKXNPF6Zi3nFpaZmSXBLSwzM0uCE5aZmSXBCcvMzJLghGVmZklwwjIzsyQ4YZmZWRKcsMzMLAlOWGZmlgQnLDMzS0IpCUvSVZI29K/OOshxSfoXSb356qkHFR2jmZlVS1ktrCXAnGGOH0O2+Nx0YCHwfwuIyczMKqyUhBURy4EnhykyD/h+ZFYAEyXtVkx0ZmZWRVVdcXgP4LGa7b583x8HFpS0kKwVxvbbb//nM2fOLCRAMzPbenfdddcTEdFVz7lVTVgaZN+g08pHxGJgMUB3d3f09Hg9OjOzqpL0SL3nVnWUYB/Zst/9pgCPlxSLmZlVQFUT1lLg5Hy04PuAZyJii+5AMzPrHKV0CUq6GjgcmCypDzgXGAcQEVcANwHHAr3AC8Any4jTzMyqo5SEFRHzRzgewD8UFI6ZmdVh8+bN9PX18dJLL21xbMKECUyZMoVx48Y17fOqOujCzMwqrq+vjx133JGpU6civTlWLiLYtGkTfX19TJs2rWmfV9V7WGZmVnEvvfQSkyZNekuyApDEpEmTBm15NcIJy8zM6jYwWY20vxFOWGZmlgQnLDMzS4ITlpmZ1S0b1D36/Y1wwjIzs7pMmDCBTZs2bZGc+kcJTpgwoamf52HtZmZWlylTptDX18fGjRu3ONb/HFYzOWGZmVldxo0b19TnrEbiLkEzM0uCE5aZmSXBCcvMzJLghGVmZklwwjIzsyQ4YZmZWRKcsMzMLAlOWGZmloRSEpakOZIekNQr6ZxBju8l6TZJKyXdK+nYMuI0M7PqKDxhSRoDXAYcA8wC5kuaNaDYl4FrI+JA4ATg8mKjNDOzqimjhXUw0BsR6yLiFeAaYN6AMgHslL/fGXi8wPjMzKyCyphLcA/gsZrtPuCQAWW+Ctwi6TPA9sCRxYRmZmZVVUYLa7B1kwcunDIfWBIRU4BjgR9IGjRWSQsl9UjqGWzGYDMzaw9lJKw+YM+a7Sls2eW3ALgWICJ+B0wAJg92sYhYHBHdEdHd1dXVgnDNzKwKykhYdwLTJU2TNJ5sUMXSAWUeBT4MIOndZAnLzSczsw5WeMKKiFeBM4BlwP1kowHXSDpf0ty82OeBT0taBVwNnBKtWG/ZzMySUcoCjhFxE3DTgH2Lat6vBQ4rOi4zM6suz3RhZmZJcMIyM7MkOGGZmVkSnLDMzCwJTlhmZpYEJywzM0uCE5aZmSXBCcvMzJLghGVmZklwwjIzsyQ4YZmZWRKcsMzMLAlOWGZmlgQnLDMzS4ITlpmZJcEJy8zMkuCEZWZmSXDCMjOzJJSSsCTNkfSApF5J5wxR5q8lrZW0RtIPi47RzMyqZWzRHyhpDHAZ8JdAH3CnpKURsbamzHTgi8BhEfGUpF2LjtPMzKqljBbWwUBvRKyLiFeAa4B5A8p8GrgsIp4CiIgNBcdoZmYVU0bC2gN4rGa7L99XawYwQ9LtklZImjPUxSQtlNQjqWfjxo0tCNfMzKqgjISlQfbFgO2xwHTgcGA+cKWkiYNdLCIWR0R3RHR3dXU1NVAzM6uOMhJWH7BnzfYU4PFByvwsIjZHxEPAA2QJzMzMOlQZCetOYLqkaZLGAycASweUuR44AkDSZLIuwnWFRmlmZpVSeMKKiFeBM4BlwP3AtRGxRtL5kubmxZYBmyStBW4DzoqITUXHamZm1aGIgbeP0tXd3R09PT1lh2FmZkOQdFdEdNdzrme6MDOzJDhhmZlZEpywzMwsCU5YZmaWBCcsMzNLghOWmZklwQnLzMyS4IRlZmZJcMIyM7MkOGGZmVkSnLDMzCwJTlhmZpYEJywzM0uCE5aZmSXBCcvMzJLghGVmZklwwjIzsySUkrAkzZH0gKReSecMU+54SSGprtUpzcysfRSesCSNAS4DjgFmAfMlzRqk3I7APwJ3FBuhmZlVURktrIOB3ohYFxGvANcA8wYp9zXgQuClIoMzM7NqKiNh7QE8VrPdl+97g6QDgT0j4saRLiZpoaQeST0bN25sbqRmZlYZZSQsDbIv3jgobQNcCnx+NBeLiMUR0R0R3V1dXU0K0czMqqaMhNUH7FmzPQV4vGZ7R2A28CtJDwPvA5Z64IWZWWcrI2HdCUyXNE3SeOAEYGn/wYh4JiImR8TUiJgKrADmRkRPCbGamVlFFJ6wIuJV4AxgGXA/cG1ErJF0vqS5RcdjZmZpGFvGh0bETcBNA/YtGqLs4UXEZGZm1eaZLszMLAlOWGZmlgQnLDMzS4ITlpmZJcEJy8zMkuCEZWZmSXDCMjOzJDhhmZlZEpywzMwsCU5YZmaWBCcsMzNLghOWmZklwQnLzMyS4IRlZmZJcMIyM7MkOGGZmVkSnLDMzCwJpSQsSXMkPSCpV9I5gxz/nKS1ku6VdKukvcuI08zMqqPwhCVpDHAZcAwwC5gvadaAYiuB7ojYD7gOuLDYKM3MrGrKaGEdDPRGxLqIeAW4BphXWyAibouIF/LNFcCUgmM0M7OKKSNh7QE8VrPdl+8bygLg50MdlLRQUo+kno0bNzYpRDMzq5oyEpYG2ReDFpROArqBi4a6WEQsjojuiOju6upqUohmZlY1Y0v4zD5gz5rtKcDjAwtJOhL4EvChiHi5oNjMzKyiymhh3QlMlzRN0njgBGBpbQFJBwLfBuZGxIYSYjQzs4opPGFFxKvAGcAy4H7g2ohYI+l8SXPzYhcBOwA/lnSPpKVDXM7MzDpEGV2CRMRNwE0D9i2qeX9k4UGZmVmleaYLMzNLghOWmZklwQnLzMyS4IRlZmZJcMIyM7MkOGGZmVkSnLDMzCwJTlhmZpYEJywzM0uCE5aZmSXBCcvMzJLghGVmZklwwjIzsyQ4YZmZWRKcsMzMLAlOWGZmlgQnLDMzS4ITlpmZJaGUhCVpjqQHJPVKOmeQ49tK+lF+/A5JU4uP0szMqqTwhCVpDHAZcAwwC5gvadaAYguApyJiX+BS4OvFRmlmZlVTRgvrYKA3ItZFxCvANcC8AWXmAd/L318HfFiSCozRzMwqZmwJn7kH8FjNdh9wyFBlIuJVSc8Ak4AnBl5M0kJgYb75sqTVTY+4fUxmkDq0t3AdDc/1MzLX0fDeVe+JZSSswVpKUUeZbGfEYmAxgKSeiOhuLLz25foZmetoeK6fkbmOhiepp95zy+gS7AP2rNmeAjw+VBlJY4GdgScLic7MzCqpjIR1JzBd0jRJ44ETgKUDyiwFPpG/Px74ZUQM2sIyM7POUHiXYH5P6gxgGTAGuCoi1kg6H+iJiKXAvwI/kNRL1rI6YZSXX9ySoNuH62dkrqPhuX5G5joaXt31IzdczMwsBZ7pwszMkuCEZWZmSUguYXlap5GNoo4+J2mtpHsl3Spp7zLiLMtI9VNT7nhJIanjhiiPpo4k/XX+e7RG0g+LjrFMo/iO7SXpNkkr8+/ZsWXEWRZJV0naMNRzscr8S15/90o6aFQXjohkXmSDNP4AvBMYD6wCZg0oczpwRf7+BOBHZcddwTo6Atguf39aJ9XRaOonL7cjsBxYAXSXHXfV6giYDqwEdsm3dy077orVz2LgtPz9LODhsuMuuI4+CBwErB7i+LHAz8meuX0fcMdorptaC8vTOo1sxDqKiNsi4oV8cwXZs3CdYjS/QwBfAy4EXioyuIoYTR19GrgsIp4CiIgNBcdYptHUTwA75e93ZstnTdtaRCxn+Gdn5wHfj8wKYKKk3Ua6bmoJa7BpnfYYqkxEvAr0T+vUKUZTR7UWkP2l0ylGrB9JBwJ7RsSNRQZWIaP5HZoBzJB0u6QVkuYUFl35RlM/XwVOktQH3AR8ppjQkrG1/04B5UzN1IimTuvUpkb980s6CegGPtTSiKpl2PqRtA3ZCgGnFBVQBY3md2gsWbfg4WQt9N9Imh0RT7c4tioYTf3MB5ZExCWSDiV7rnR2RLze+vCSUNe/06m1sDyt08hGU0dIOhL4EjA3Il4uKLYqGKl+dgRmA7+S9DBZ//rSDht4Mdrv2c8iYnNEPAQ8QJbAOsFo6mcBcC1ARPwOmEA2Ka5lRvXv1ECpJSxP6zSyEeso7/L6Nlmy6qR7DzBC/UTEMxExOSKmRsRUsnt8cyOi7gk7EzSa79n1ZIN3kDSZrItwXaFRlmc09fMo8GEASe8mS1gbC42y2pYCJ+ejBd8HPBMRfxzppKS6BKO10zq1hVHW0UXADsCP8/Eoj0bE3NKCLtAo66ejjbKOlgFHSVoLvAacFRGbyou6OKOsn88D35H0v8i6uk7ppD+cJV1N1l08Ob+Pdy4wDiAiriC7r3cs0Au8AHxyVNftoDo0M7OEpdYlaGZmHcoJy8zMkuCEZWZmSXDCMjOzJDhhmZlZEpywzLU0dJ0AAAKESURBVOokaaKk02u2d5d0XYs+6zhJi5p4vYsl/UWzrmdWBA9rN6tTvnTNjRExu4DP+i3ZA8xPNOl6ewPfiYijmnE9syK4hWVWvwuAfSTdI+kiSVP71/+RdIqk6yXdIOkhSWfk65CtzCeLfXtebh9JN0u6S9JvJM0c+CGSZgAv9ycrSR+XtFrSKknL831j8hjuzNcX+vua878g6b68/AUAEfEIMEnSO1peS2ZNktRMF2YVcw4wOyIOgDdaXLVmAweSTcvTC5wdEQdKuhQ4GfgG2bpJp0bEg5IOAS4HBnbVHQbcXbO9CDg6ItZLmpjvW0A2vc17JW0L3C7pFmAmcBxwSES80J8oc3fn1/5J3TVgViAnLLPWuS0ingOek/QMcEO+/z5gP0k7AO/nzSmyALYd5Dq78dZ56G4Hlki6Fvhpvu+o/JrH59s7k01GeyTw3f71zyKidiLoDcDuDfx8ZoVywjJrndpZ8F+v2X6d7Lu3DfB0fwttGC+SJSAAIuLUvDX2EeAeSQeQLdfwmYhYVntivk7VUDeqJ+TXNkuC72GZ1e85suVI6hIRzwIPSfo4QD5z9f6DFL0f2Ld/Q9I+EXFHRCwCniBbpmEZcJqkcXmZGZK2B24BPiVpu3x/bZfgDGB1vfGbFc0Jy6xO+ezkt+cDIC6q8zInAgskrQLWsOVS6wDLgQP1Zr/hRfkgitX5sVXAlcBa4O58/7eBsRFxM9lSDj2S7gHOBMgT275AJy2bYonzsHazBEj6JnBDRPyiSdf7KHBQRHylGdczK4JbWGZp+CdguyZebyxwSROvZ9ZybmGZmVkS3MIyM7MkOGGZmVkSnLDMzCwJTlhmZpYEJywzM0vC/weLyNzmMucVKgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 37.0, sf = 6.59 --> Field = 1068.89888 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 27 $$$ 27 $$$ 27 $$$ 27 $$$ 27 $$$ 27 $$$ 27 $$$ 27 $$$ 27 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1282.97242893 for Na num 506.854871476E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 296.043867123k\n",
      "TOTAL Na num = 296.043867123k\n",
      "\n",
      "init mol temp/init Na temp = 1.21554071577\n",
      "init mol temp = 1.562375e-06 uk\n",
      "init na temp = 1.28533333333e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.44049406389\n",
      "\n",
      "init na num = 413.527643129 at 1.28533333333 uk\n",
      "init Na density = 7.86062015075e+11 cm^-3 (7.73518452017 %)\n",
      "\n",
      "init overlap density = 5.84162193535e+11 cm^-3 (10.2182577536 %) (34.5458071482 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.74315026338\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 16.6178970593 at 1.562375 uk\n",
      "init molecule density = 1.66097686976e+11 cm^-3 (12.1167741692 %)\n",
      "two-body rate coefficient = 2.4498464846e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0879761720035\n",
      "loss rate coefficient = 2.02589256177e-11 (13.4837257434 %) (35.6484341861 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 12.5677232459\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0677788934221\n",
      "\n",
      "loss rate from EXP fit = 12.0807735692\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4498464846e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0864071499613\n",
      "loss rate coefficient = 2.0978602615e-11 (11.4144358201 %) (34.9183239158 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4498464846e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0883277566293\n",
      "loss rate coefficient = 2.05806271876e-11 (11.5605067086 %) (34.9663454676 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.73\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 4.0 --> Field = 975.2732 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 28 $$$ 28 $$$ 28 $$$ 28 $$$ 28 $$$ 28 $$$ 28 $$$ 28 $$$ 28 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 139.760013236E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 97.6075696784k\n",
      "TOTAL Na num = 97.6075696784k\n",
      "\n",
      "init mol temp/init Na temp = 1.48943338194\n",
      "init mol temp = 2.22526666667e-06 uk\n",
      "init na temp = 1.49403571429e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.31576815763\n",
      "\n",
      "init na num = 101.003281562 at 1.49403571429 uk\n",
      "init Na density = 1.5320394029e+11 cm^-3 (8.54437366658 %)\n",
      "\n",
      "init overlap density = 1.03124707796e+11 cm^-3 (11.3018381732 %) (34.8816792327 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.673120466748\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 19.0937546005 at 2.22526666667 uk\n",
      "init molecule density = 1.1227516054e+11 cm^-3 (14.526666528 %)\n",
      "two-body rate coefficient = 3.4892786435e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.159265792716\n",
      "loss rate coefficient = 3.2837555665e-10 (19.5291442052 %) (38.345631738 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 33.5169049917\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.123332888181\n",
      "\n",
      "loss rate from EXP fit = 34.1655066645\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.4892786435e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.15926681015\n",
      "loss rate coefficient = 3.28375960527e-10 (18.2106667237 %) (37.691224211 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.4892786435e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.165611308287\n",
      "loss rate coefficient = 3.44466990639e-10 (18.7680651293 %) (37.9636703797 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 5.5 --> Field = 978.1532 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 29 $$$ 29 $$$ 29 $$$ 29 $$$ 29 $$$ 29 $$$ 29 $$$ 29 $$$ 29 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 170.187741486E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 127.150935558k\n",
      "TOTAL Na num = 127.150935558k\n",
      "\n",
      "init mol temp/init Na temp = 1.61547732663\n",
      "init mol temp = 2.6755952381e-06 uk\n",
      "init na temp = 1.65622580645e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.22604636554\n",
      "\n",
      "init na num = 131.574444353 at 1.65622580645 uk\n",
      "init Na density = 1.7098898865e+11 cm^-3 (7.71966084419 %)\n",
      "\n",
      "init overlap density = 1.10203234615e+11 cm^-3 (11.9676134056 %) (35.1030450335 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.64450486248\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 13.6815538644 at 2.6755952381 uk\n",
      "init molecule density = 61019724846.1 cm^-3 (17.4047624171 %)\n",
      "two-body rate coefficient = 4.19540608897e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.108801336922\n",
      "loss rate coefficient = 8.68171428416e-10 (16.1740866754 %) (36.7505248913 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 100.536787501\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0853397511036\n",
      "\n",
      "loss rate from EXP fit = 95.8419202401\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 4.19540608897e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.108156502733\n",
      "loss rate coefficient = 8.86525010692e-10 (14.7071629884 %) (36.1289446728 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 4.19540608897e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.110815311444\n",
      "loss rate coefficient = 9.01162858506e-10 (14.9037808907 %) (36.2094281208 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 5.7 --> Field = 978.5372 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 30 $$$ 30 $$$ 30 $$$ 30 $$$ 30 $$$ 30 $$$ 30 $$$ 30 $$$ 30 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 130.693966853E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 107.117419917k\n",
      "TOTAL Na num = 107.117419917k\n",
      "\n",
      "init mol temp/init Na temp = 1.49908086965\n",
      "init mol temp = 2.12666666667e-06 uk\n",
      "init na temp = 1.41864705882e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.11754423665\n",
      "\n",
      "init na num = 110.843974086 at 1.41864705882 uk\n",
      "init Na density = 1.81709011178e+11 cm^-3 (8.11294032066 %)\n",
      "\n",
      "init overlap density = 1.21900568163e+11 cm^-3 (12.0501661024 %) (35.1312752842 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.670855932639\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 18.4135459651 at 2.12666666667 uk\n",
      "init molecule density = 1.15892074289e+11 cm^-3 (19.0325678389 %)\n",
      "two-body rate coefficient = 3.33467116233e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.124288696312\n",
      "loss rate coefficient = 7.10215494096e-10 (17.3113634184 %) (37.2650413042 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 95.2288469017\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0877438675008\n",
      "\n",
      "loss rate from EXP fit = 86.8252231325\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.33467116233e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.122614028716\n",
      "loss rate coefficient = 7.77587514678e-10 (15.8388138746 %) (36.6042077493 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.33467116233e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.12850647191\n",
      "loss rate coefficient = 7.53110512788e-10 (16.2992379515 %) (36.8057761472 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 5.826 --> Field = 978.77912 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 31 $$$ 31 $$$ 31 $$$ 31 $$$ 31 $$$ 31 $$$ 31 $$$ 31 $$$ 31 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 163.769324174E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 116.707934328k\n",
      "TOTAL Na num = 116.707934328k\n",
      "\n",
      "init mol temp/init Na temp = 1.42933408419\n",
      "init mol temp = 2.31586622807e-06 uk\n",
      "init na temp = 1.62024137931e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.73753290614\n",
      "\n",
      "init na num = 120.768137044 at 1.62024137931 uk\n",
      "init Na density = 1.62202934787e+11 cm^-3 (7.75479118446 %)\n",
      "\n",
      "init overlap density = 1.11517597872e+11 cm^-3 (10.4183097266 %) (34.6055079078 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.687518989831\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 15.4802888171 at 2.31586622807 uk\n",
      "init molecule density = 85738187176.9 cm^-3 (10.0819809792 %)\n",
      "two-body rate coefficient = 3.63134121939e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.142777959147\n",
      "loss rate coefficient = 7.81600803138e-10 (17.6747456485 %) (37.4352325188 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 88.2213424234\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.119079195769\n",
      "\n",
      "loss rate from EXP fit = 87.3823513482\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.63134121939e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.142778189459\n",
      "loss rate coefficient = 7.81600747173e-10 (16.335724173 %) (36.8219484039 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.63134121939e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.147200161767\n",
      "loss rate coefficient = 8.12678856176e-10 (16.723595506 %) (36.9956571323 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 5.0 --> Field = 977.1932 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 32 $$$ 32 $$$ 32 $$$ 32 $$$ 32 $$$ 32 $$$ 32 $$$ 32 $$$ 32 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 135.332131597E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 112.560994547k\n",
      "TOTAL Na num = 112.560994547k\n",
      "\n",
      "init mol temp/init Na temp = 1.56073812751\n",
      "init mol temp = 2.51977777778e-06 uk\n",
      "init na temp = 1.61447826087e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 0.979116817313\n",
      "\n",
      "init na num = 116.476927585 at 1.61447826087 uk\n",
      "init Na density = 1.57277835595e+11 cm^-3 (10.3049457479 %)\n",
      "\n",
      "init overlap density = 1.03280944312e+11 cm^-3 (13.5658720917 %) (35.6795863991 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.656678316568\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 19.1046813728 at 2.51977777778 uk\n",
      "init molecule density = 93231329741.5 cm^-3 (21.5733127427 %)\n",
      "two-body rate coefficient = 3.95108007416e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.123734756104\n",
      "loss rate coefficient = 5.11747367395e-10 (18.361257699 %) (37.7642130103 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 58.4782016702\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0894232613965\n",
      "\n",
      "loss rate from EXP fit = 53.0941677375\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.95108007416e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.121281867964\n",
      "loss rate coefficient = 5.79501011142e-10 (16.6168998373 %) (36.9475487712 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.95108007416e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.128018186793\n",
      "loss rate coefficient = 5.41845718191e-10 (17.1147599087 %) (37.1741174304 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 6.18 --> Field = 979.4588 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 33 $$$ 33 $$$ 33 $$$ 33 $$$ 33 $$$ 33 $$$ 33 $$$ 33 $$$ 33 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 134.997449739E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 103.573908072k\n",
      "TOTAL Na num = 103.573908072k\n",
      "\n",
      "init mol temp/init Na temp = 1.66812951557\n",
      "init mol temp = 2.42056018519e-06 uk\n",
      "init na temp = 1.4510625e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.4204579595\n",
      "\n",
      "init na num = 107.177185478 at 1.4510625 uk\n",
      "init Na density = 1.6984356221e+11 cm^-3 (7.36854249748 %)\n",
      "\n",
      "init overlap density = 1.07535818911e+11 cm^-3 (11.3973357618 %) (34.9127378254 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.633146275975\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 21.3404799717 at 2.42056018519 uk\n",
      "init molecule density = 1.10610357662e+11 cm^-3 (13.9871838372 %)\n",
      "two-body rate coefficient = 3.79550419102e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0837502243785\n",
      "loss rate coefficient = 7.16554083459e-10 (14.1435590748 %) (35.9032068665 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 79.0158411234\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0727973857318\n",
      "\n",
      "loss rate from EXP fit = 77.3427280224\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.79550419102e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0843965736737\n",
      "loss rate coefficient = 7.48806637425e-10 (12.6264311357 %) (35.3330831265 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.79550419102e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0893130327859\n",
      "loss rate coefficient = 7.65782061018e-10 (12.9602131541 %) (35.4537321731 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 7.0 --> Field = 981.0332 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 34 $$$ 34 $$$ 34 $$$ 34 $$$ 34 $$$ 34 $$$ 34 $$$ 34 $$$ 34 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 140.444618976E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 110.105552578k\n",
      "TOTAL Na num = 110.105552578k\n",
      "\n",
      "init mol temp/init Na temp = 1.58721849103\n",
      "init mol temp = 2.37679166667e-06 uk\n",
      "init na temp = 1.49745714286e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.20644849625\n",
      "\n",
      "init na num = 113.936062185 at 1.49745714286 uk\n",
      "init Na density = 1.72228699701e+11 cm^-3 (8.03469774557 %)\n",
      "\n",
      "init overlap density = 1.12076436549e+11 cm^-3 (11.6614260352 %) (34.9998408164 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.650741930608\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 21.8667811262 at 2.37679166667 uk\n",
      "init molecule density = 1.16483289227e+11 cm^-3 (16.1769777678 %)\n",
      "two-body rate coefficient = 3.72687396381e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.1232656002\n",
      "loss rate coefficient = 2.90408139002e-10 (16.9685868327 %) (37.1070470275 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 30.7123740907\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0981453516885\n",
      "\n",
      "loss rate from EXP fit = 32.8705768116\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.72687396381e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.122338401691\n",
      "loss rate coefficient = 3.10193522438e-10 (15.6227753534 %) (36.511246346 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.72687396381e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.128518311684\n",
      "loss rate coefficient = 3.08103509666e-10 (16.1112950702 %) (36.7229332821 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.89\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 4.5 --> Field = 976.2332 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 35 $$$ 35 $$$ 35 $$$ 35 $$$ 35 $$$ 35 $$$ 35 $$$ 35 $$$ 35 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 121.200515325E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 116.636411284k\n",
      "TOTAL Na num = 116.636411284k\n",
      "\n",
      "init mol temp/init Na temp = 1.22022125634\n",
      "init mol temp = 1.91963888889e-06 uk\n",
      "init na temp = 1.57318918919e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.88137904738\n",
      "\n",
      "init na num = 98.9963053943 at 1.57318918919 uk\n",
      "init Na density = 1.38970774116e+11 cm^-3 (6.38501878216 %)\n",
      "\n",
      "init overlap density = 1.03095861053e+11 cm^-3 (9.15371005865 %) (34.2460276213 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.74185282272\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 35.0452534414 at 1.91963888889 uk\n",
      "init molecule density = 2.57196667855e+11 cm^-3 (10.3543743793 %)\n",
      "two-body rate coefficient = 3.01004597721e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.128079245177\n",
      "loss rate coefficient = 5.06163113463e-10 (15.7427233441 %) (36.5627315485 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 62.2600898617\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0951825105316\n",
      "\n",
      "loss rate from EXP fit = 52.6811191622\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.01004597721e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.126033980548\n",
      "loss rate coefficient = 5.43981406473e-10 (14.2800048778 %) (35.9571764646 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.01004597721e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.137801615023\n",
      "loss rate coefficient = 5.77740424364e-10 (15.3285924929 %) (36.3863401267 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 5.25 --> Field = 977.6732 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 36 $$$ 36 $$$ 36 $$$ 36 $$$ 36 $$$ 36 $$$ 36 $$$ 36 $$$ 36 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 104.384104146E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 101.453304274k\n",
      "TOTAL Na num = 101.453304274k\n",
      "\n",
      "init mol temp/init Na temp = 1.05416173278\n",
      "init mol temp = 1.69569444444e-06 uk\n",
      "init na temp = 1.60857142857e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.79447865861\n",
      "\n",
      "init na num = 86.1094934468 at 1.60857142857 uk\n",
      "init Na density = 1.16913975565e+11 cm^-3 (6.51392153849 %)\n",
      "\n",
      "init overlap density = 92398349334.3 cm^-3 (9.10740565105 %) (34.2336798737 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.790310558576\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 20.8250567477 at 1.69569444444 uk\n",
      "init molecule density = 1.84090017682e+11 cm^-3 (13.1156367603 %)\n",
      "two-body rate coefficient = 2.65889499875e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.148616585758\n",
      "loss rate coefficient = 7.53920673215e-10 (17.4302533922 %) (37.3204197902 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 74.6126149221\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.11295882233\n",
      "\n",
      "loss rate from EXP fit = 69.9982777763\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.65889499875e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.146746218784\n",
      "loss rate coefficient = 8.17601333485e-10 (16.0519460766 %) (36.6969341069 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.65889499875e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.156268636792\n",
      "loss rate coefficient = 8.17595224063e-10 (16.9268814027 %) (37.0879942033 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.798\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 5.93 --> Field = 978.9788 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 37 $$$ 37 $$$ 37 $$$ 37 $$$ 37 $$$ 37 $$$ 37 $$$ 37 $$$ 37 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 94.5578924709E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 83.8286866428k\n",
      "TOTAL Na num = 83.8286866428k\n",
      "\n",
      "init mol temp/init Na temp = 1.21181110756\n",
      "init mol temp = 1.89466666667e-06 uk\n",
      "init na temp = 1.5635e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.81116870537\n",
      "\n",
      "init na num = 79.3532311797 at 1.5635 uk\n",
      "init Na density = 1.1243297621e+11 cm^-3 (6.91586246943 %)\n",
      "\n",
      "init overlap density = 83671138629.0 cm^-3 (9.99015837623 %) (34.4790264419 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.744186816443\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 16.5418783008 at 1.89466666667 uk\n",
      "init molecule density = 1.23808665206e+11 cm^-3 (12.8406878233 %)\n",
      "two-body rate coefficient = 2.97088885371e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0881112513308\n",
      "loss rate coefficient = 7.56997681446e-10 (13.3206302588 %) (35.5870649323 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 69.5118306075\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0745822445572\n",
      "\n",
      "loss rate from EXP fit = 63.5709272433\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.97088885371e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0851175111669\n",
      "loss rate coefficient = 8.32654120629e-10 (11.2071665743 %) (34.8511202492 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.97088885371e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0909521190148\n",
      "loss rate coefficient = 8.21039645544e-10 (11.6564812479 %) (34.9981935974 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 6.18 --> Field = 979.4588 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 38 $$$ 38 $$$ 38 $$$ 38 $$$ 38 $$$ 38 $$$ 38 $$$ 38 $$$ 38 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 63.3113670137E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 53.1359148285k\n",
      "TOTAL Na num = 53.1359148285k\n",
      "\n",
      "init mol temp/init Na temp = 1.20315335949\n",
      "init mol temp = 1.78470833333e-06 uk\n",
      "init na temp = 1.48335897436e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.52419490413\n",
      "\n",
      "init na num = 50.2990885603 at 1.48335897436 uk\n",
      "init Na density = 77119932412.8 cm^-3 (6.94274712582 %)\n",
      "\n",
      "init overlap density = 57577921715.8 cm^-3 (9.37706526377 %) (34.3064039643 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.746602336315\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 35.8005753953 at 1.78470833333 uk\n",
      "init molecule density = 2.93092409615e+11 cm^-3 (7.16807950632 %)\n",
      "two-body rate coefficient = 2.79847119703e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0941800182975\n",
      "loss rate coefficient = 6.22591908704e-10 (13.2901509181 %) (35.5756674066 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 56.0750744119\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0745681549045\n",
      "\n",
      "loss rate from EXP fit = 36.2987901329\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.79847119703e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0924509674598\n",
      "loss rate coefficient = 6.52181270902e-10 (11.4318150837 %) (34.924008878 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.79847119703e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.111523160636\n",
      "loss rate coefficient = 9.08813774676e-10 (13.022624 %) (35.4765941974 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.595\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 1.0 --> Field = 969.5132 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 39 $$$ 39 $$$ 39 $$$ 39 $$$ 39 $$$ 39 $$$ 39 $$$ 39 $$$ 39 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 145.164373481E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 94.7580315904k\n",
      "TOTAL Na num = 94.7580315904k\n",
      "\n",
      "init mol temp/init Na temp = 1.06379272438\n",
      "init mol temp = 1.74725e-06 uk\n",
      "init na temp = 1.64247222222e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 3.03075078003\n",
      "\n",
      "init na num = 120.302294209 at 1.64247222222 uk\n",
      "init Na density = 1.58307969788e+11 cm^-3 (6.74115304919 %)\n",
      "\n",
      "init overlap density = 1.24644963733e+11 cm^-3 (9.00031824339 %) (34.2053464897 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.787357477323\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 48.1860524569 at 1.74725 uk\n",
      "init molecule density = 4.07243552468e+11 cm^-3 (7.54630513007 %)\n",
      "two-body rate coefficient = 2.73973551178e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0525356878614\n",
      "loss rate coefficient = 6.13367108434e-11 (10.4214065017 %) (34.6064403467 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 9.79031485947\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0428686074981\n",
      "\n",
      "loss rate from EXP fit = 8.32673406064\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.73973551178e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0527831110233\n",
      "loss rate coefficient = 6.66207652755e-11 (8.04576918911 %) (33.9666660396 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.73973551178e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0602145693312\n",
      "loss rate coefficient = 7.19567472472e-11 (8.55171195427 %) (34.0900539358 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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gCJ5B8kF1nFtuuaVJK+vee+/l/vvv55xzzqG+vr6NK93T2r0YrLSbD0op9TtgPnAIcJystdYX9q5p7SP5oISBiOSDEvozfZ0P6jrgNK11TWcrFwRBcCD5oITO0hGB2gWEA3m9bEu/pT+H+RGEvkLyQQmdpSMCtRjYqpTaBVQ7CrXWs9u6SCn1V+AKIE9rnW6WLQGuBGowugxv0lqXmMfuB24B6oH/0Vp/1Pmv0zu0JUASaFQQ+g7JBzW46IiTxCvAU8CTwB9clvZYAcxqVvYJkK61Hg/sB+4HUEqNBX4EjDOv+bNSqmdjk7RD5vHt1Ne1HNRsL86c5JMSBEHoHTrSgirQWi/tbMVa6/VKqdRmZR+77G4ArjG3rwL+rrWuBo4opQ4CZwLfdPZzu0RDPbd9NJdyHwiri8biN4nk0HTSY8awfF15m3Hm+nuYH8E7cG2l/3VOAnH2GiJsfp42SxA8SkcEaotSajGwmqZdfN9187NvBhxhhxMxBMtBllnWAqXU7cDtACkpKd00wUA3NHBx8HSKir8m05LDAQo4Xv4pX5eDTvQnsCqBhqoE6qsSaahKpKEmmuySStbuyyM2xJ+T5dUt6vSGQKNC/6B5N3Fdgya72HjBEZESBjMd6eKbBEwDnqCxe+/p7nyoUuoBoA543VHk5jS3/u9a65e01pO11pNjYmK6Y0ajPb5WFv7o/3jqju94a9ZrfGs7g7dy8vhtfiEzKiDMpxRrxEYCE98m6LRnCB71CLbU57njw/spsnyBT8AxUI1Ojr4+ikvHDWHfiXIqazo/F0IYXLjrJm7QmpOlnotCEBwc3GN1LViwgNGjRzsDtZaUlABQW1vLvHnzyMjIYMyYMSxevLjNetasWcOoUaMYPnw4Tz75pNtzVqxYQUxMDBMnTmTixIlNIqMvXLiQ9PR00tPTm6TkmD9/Pmlpac5r3EVEd3DGGWdQU2P8ry9evJjXX3+9yfEVK1bg4+PDjh07nGXp6elkZmYC8Oabb5KRkcH48eOZNWsWBQUFzvP+9Kc/MWrUKMaNG8e9997bqg12u525c+eSkZFBeno65557LqdOnQKM6B6O7zFx4kQyMzMpLCzkggsuIDg4uM3UJx1N9eEuSG5v0W4LSmt9QU9+oFJqHobzxEW6cRJWFpDscloS0PdJUZSClKlYU6YytvwEY7es4LJv/kJg9QGO6mhe8pnKh9ahVNlKSUsopbB2LxV1GwHQWtFQE01DdQINVfG8si2e5d/Go+tCiA0JIDUqiJQoG6lRNlKighgaaSM1Kogwm7XPv2ZvIJ6MXae17uCa+oYOXe/t9/6SSy5h8eLF+Pr6snDhQhYvXsxTTz3FypUrqa6uZufOndjtdsaOHcsNN9xAampqizrq6+u58847+eSTT0hKSmLKlCnMnj2bsWPHtjj3+uuv5/nnn29S9sEHH/Ddd9+xbds2qqurmT59OpdddhmhoaEALFmyhGuuuaZFXa5kZmaSmJiIn5/Rqv344495++23W5yXlJTE448/3iIvVV1dHXfffTd79uwhOjqae++9l+eff55Fixaxdu1a3n//fXbs2IG/vz95ea07TT/33HMMGTKEnTsNZ6x9+/ZhtRq/I4GBgS0EtqKigt/97nfs2rWLXbt2tVpvR1N9PPHEE/zmN79p85yeol2BUkq5nXKttX60sx+mlJoFLASma63tLodWA28opf4IJAAjgI2drb9HCYmDGfcReN7/snHNa6gty3m84QN+W2MhL+pCEibdgR42g9zKPL4v+p59RfvYW7SX/cX7yT613VlNgE8oNlI4WR3PwawYSnZF01Adi+PWhwVaGRplIyXSxtAoG0MjDSEbGmVjSEgAPj7en3pePBm7R2v5qPws7Xdw9Oa9P3XqFFdddRXFxcXU1tby2GOPcdVVV5GZmclll13Gueeey9dff01iYiLvv/8+gYHuu7Vnzpzp3J42bRqrVq0CQClFRUUFdXV1VFZW4ufn5xSM5mzcuJHhw4czbNgwAH70ox/x/vvvuxUod+zZs4fp06fj6+uLr68vEyZMYM2aNVx33XUdvh8ffvghs2YZfl9lZWXU1NTgrhfniiuuYP369ezbt49RoxoDJjsidFdUVBAVFUVZWRnDhw8H4IUXXuC+++5zxgKMjY1t1Y7c3FyGDh3q3Hf9DHcEBQVx7rnncvDgwVbPcU31ERgYyBdffMGZZ57J6tWrGTVqFDfccAMXXnghhw4dorKykokTJzJu3LgWLciepiNjUBUu2wEYrZ+97V2klHoTmAFEK6WygEcwvPb8gU/MIJAbtNZ3aK13K6XeBvZgdP3dqbX2jr4xi5UzL78ZLr8ZCg7iu2U5CdvfhNd/iApLJmHST0iY+GMuTGkMrFFaXcr+4v3sL97PvqJ9fF/0PYdKvqDWWkNQJFiUhdiAFEItKVjqEqiqGML23Eg+3OWH60uzv68PyZE2hkbaDNGKtDHUbIklRQTi79unjo6t0t8TFnoad9HgfZRiSFhAu9f25r0PCAjg3XffJTQ0lIKCAqZNm+aM/H3gwAHefPNNXn75Za677jreeecdbrzxxnbr/Otf/+oMWXTNNdfw/vvvEx8fj91u55lnnmk1Ynl2djbJyY2dLElJSXz77bduz33nnXdYv349I0eO5JlnniE5OZkJEybw29/+lnvuuQe73c7atWubiNsDDzzAo48+ykUXXcSTTz7ZIpEgGF2MzzzzDACffvppq/mpfHx8uPfee3niiSeaxCW0Wq288MILZGRkEBQUxIgRI5zzt/bv38+XX37JAw88QEBAAE8//TRTpkxxW//NN9/MzJkzWbVqFRdddBHz5s1jxIgRAE7xAEhLS3NGpG+Pa665hueff56nn36ayZONgA/PP/888+fP5+6776a4uJjbbrvNWd5WN2hP0pEuviYu5UqppzFaPO1dd4Ob4v/XxvmPA4+3V69HiR4Olz4OFz0M338A370C656AdYvhtAtg0k9g1H8R5h/GlLgpTIlrfMDqGuo4VnaMfcX7XMTre05WfQEWIBriE8JIDh5GlF8K/jqRhuo4SkuCyC6u5OtDhU1+iJSChLBAkiMDm7S6UiKNVlhfdh2KJ2P3cAiJo5vO10eRGBHYIQeJ3rz3Wmt+85vfsH79enx8fMjOznYmInSM2YAxLuMYY2mLxx9/HF9fX+bOnQsYrSKLxUJOTg7FxcWcd955XHzxxc5WUnNbmuMu0vmVV17JDTfcgL+/P8uWLWPevHl8/vnnzJw5k02bNnH22WcTExPDWWedha+v8fO3ePFi4uLiqKmp4fbbb+epp55qEauvpqaGrKwsp21r1qxpcz7Wj3/8Yx5//HFnoFswxtxeeOEFtm7dyrBhw/jFL37B4sWLefDBB6mrq6O4uJgNGzawadMmrrvuOg4fPuz2O06cOJHDhw/z8ccf8+mnnzJlyhS++eYbxowZ47aLrzOUVdXyfW4ZNfUNJKdPZeSYsdx5551s3769/Yt7ga7kg7IBLZ+gfkyn+/B9/SH9amMpzoRtb8DW12HVTRAQDhnXwIQfQ+LphpIAvj6+DAsfxrDwYVyW5pI/prqUA8UHOFBygP3F+zlQfIDNhZ9SUdvYcI1LimNG+nASbGmE+iThU5dAlT2KnOJ6jhZW8Nn3eRScaupJGBrg62xtpThaYWZLLD4sEEsPdh16c8r0/oJrPqq9e/d22HuvN+/966+/Tn5+Plu2bMFqtZKamupMH+HawrBYLO0GNn3llVf417/+xWeffeb80X3jjTeYNWsWVquV2NhYzjnnHDZv3uxWoJKSkjh+/LhzPysry+1YiWvupttuu42FCxtT2z/wwAM88MADgCEgjlaHI/+Tv78/N910E08/3dIH7Msvv+Tcc8917m/cuJEXXnih1e/r6+vL//7v//LUU085yxzCcdpppwFw3XXXOZ09kpKSuPrqq1FKceaZZ+Lj40NBQYHbLkQwnFiuvvpqrr76anx8fPj3v//d7fiNdQ2a/LJqos1unKraOnbt3ot/QCBFRUUkJSV1q/6u0JExqJ00etRZgBig0+NP3kq3+/AjUuGC38D0hXDkC1Os/gab/gLRI2HCj2D89RDm/o8b5h/G5LjJTI5rjKOotSanIoeDxQc5UHKAA8UHOFhykG9zv6W2wUiAplAkhyRz2ujTmBE+nKSgNAKJp74mltziOo4WVXCsqJLd2aV8tOsEdQ2Nb6BWiyIxPJCUqCBSIgMN4YoMcgpYsH/n3lsGQsLC/kpv3vvS0lJiY2OxWq2sXbuWo0ePdqmeNWvW8NRTT/HFF19gs9mc5SkpKXz++efceOON2O12NmzYwC9/+Uu3dUyZMoUDBw5w5MgREhMT+fvf/84bb7zR4rzc3Fyn4Kxevdr5o11fX09JSQlRUVHs2LGDHTt2OMfGHNdorXnvvffc5qlas2aNMzHh7t27GT16NBZL213s8+fP5/e//70zfUZiYiJ79uwhPz+fmJgYPvnkE6d9c+bM4fPPP2fGjBns37+fmpqaVqPCf/XVV4wdO5aIiAhqamrYs2cPM2bMaNOWjmD1t1F+qjHVx2sv/5m04SP51f0Pc/PNN/PNN99gtVqxWq3U1tY6HTN6k478El3hsl0HnNRat57Fq5/RkT78DrWwfCxw2oXGUlUKu9+F7W/BZ4/CZ7+D1HMh41oYexUEhrdpk1KKxOBEEoMTmZ7cmLemrqGOY+XHOFh8kEMlhzhQcoBDJYf4MutL6sw/iY/yISk4iWHhwzgjZTjXhg0jLXQY/jqe/LIGjhbZOVpo53ixnWOFdrYdK6asqumfMyrIj2RHi8tckk3xigsNaNH6at5F5Y2eZN5OVyfq9sa9r6urw9/fn7lz53LllVcyefJkJk6cyOjRo7tU31133UV1dTWXXHIJYDhKLFu2jDvvvJObbrqJ9PR0tNbcdNNNjB8/3m0dvr6+PP/881x66aXU19dz8803M27cOAAefvhhJk+ezOzZs1m6dCmrV6/G19eXyMhIZ06m2tpazjvvPABCQ0P529/+5uzimzt3Lvn5+WitmThxIsuWLWvx+evWrePRR433cldnibbw8/Pjf/7nf7j77rsBSEhI4JFHHuH888/HarUydOhQp30333wzN998M+np6fj5+fHKK6+0mqzx0KFD/OxnP0NrTUNDA5dffjk//OEP27QlNTXV6djx3nvv8fHHHzN27FhuvfVW7rjjDiZPnsyV197AY/ffQ0BAAL975s+8+/fXeP2fnxIUHML555/PY489xm9/+1tuv/12xo8fz+mnn97rThLtptsAMMMODcFF0LTWx1q/om/oiXQbafd94HbClQKOPHl5ixYWGG+oHc4YW3QEdrwNO9+GwoNg8YMRM41uwJGzwNr9rpja+loyyzI5VHKIw6WHOVhiCNixsmNO4VIoEoITSAtLY1jYMGMJN9bU2zhWZOdYkZ2jRRUcL6rkuLmdU1JFfbPWV1KEKVjO1pexnxxpIzRgYLjN9yXNn7GXZ8cTP/S0Do9D9TTbt2/ntttuY+NGzzrSegtZWVncdtttfPjhh4DhNv/qq686W2oDBcfYU3P8LD6MjnfvXemOPk23oZT6BYYH3knAYb0G3L/q9DPa68PvtpdUZBrMWAjT74Wc72DHStj9D/j+X+AXDKMvh3FXGy0v3679GH2wI48lHx0np6SehPDRLLj0Kv44I5HahlqOlx3nUOkhp3gdLjnMphObqK5vHLOKDIh0CldabBqXj0gjLSyN+KB46hsgt6TKKVyGkBnb24+XUFpZ28SWcJu1UbAimrbC4sMDsHbAdXqw0dZE3b4WqGXLlrF06dImWWIHO0lJSU5xAvjkk088aE3vMSQsgOziShpcGi0d9SbtLTqSsPAgMFVrXdg3JnWcnmhBtddCaq+F1SUa6iHzP7BrFexZDVUlEBAGo6+AcT+AtOkdFquutPDqG+rJqcjhSOkRjpQe4XDpYee6tLrUeZ6/xZ+hoUNJDU0lLSyN1LBU0kKNdZA1CIDSylqOF9k57myB2Z372SWV1NY33j2LjyI+LMAQsAib013e0Z0YFeTXarfGQKb5M/by7HiGpBiOAuOT2u4O9ibuvPNOvvrqqyZld999d6eijxcWFrp13/4gJ7soAAAgAElEQVTss8+aOEAMBj766KMmTh7QOdfxrlBsr+FkaRU19Q34WXwYEhbQ6ZeknmxBdUSg1gKXeOO4U09l1G1rjOmcJz9328JKDA/kq/t6IKlwXQ0cXme2qj6A6jJDrEZdboxXDZsB1tbfYHravqKqIjJLM52ClVmWSWZpJlmnsmjQjc3/mMAYQ7zCUkkNNZahoUNJDEnE6mN089U3aE6UVXGs0BStYruzK/F4kZ2CU01zYNr8LCRH2EiODCQpwmXsK9Ios/l1xenU+2n+N3QIVGe7VgTBG+jrjLqHgXVKqQ9oGiz2j539MG/F1cW3Ob3uoebrByNnGktdNRxaC3veM8Rq+xvgF2IcG3MlDL8E/JvGSOvpeTCRAZFEBkRy+pDTm5TX1NdwvPy4IV5lR8gszSSzLJNPj35KSXWJ8zyLspAYnMjQ0KHOJSU0hXPHpBIXNAIf1djFZ6+pI6u40hCwYruzCzGr2M7XhwqxN4tjGBXkR1KkjWSz1ZUc0SheCeGB/bb7sPkzptEo8GjXiiB0hY74NHSGjgjUMXPxM5dBRZ96qPn6w6hZxlJXA0fWw973DbHa9Q5Y/I0W1ZgrDAeL4Ng+m4PkZ/HjtPDTOC38tBbHSqpKOFp+lKNlR8kszeRombG9+eRmKusabfPz8SM5JJmU0BRSQlKMdWgK41KGcuGYoU3ES2tNUUUNx4srna0vo+uwkp3Zpaxp5jrvoyAuNMAUMEO0kiMczhuBXh02qvkzdrKigZGqivDAMA9bJgw2utPFp7WmsLCQgICee7HqkBeft9JTXXxeT30dHP/WcKz4/l9QcgxQkDSF3aHnsnBnIrtq43AEhe+Ul2EvorUmz57HsfJjZJZlcqzsmLGUG+uahsYuPj8fP5JCkkgJSSE5NNlYhxjruOA4Z7ehg7r6Bk6WVzvHu44XV5JV1NgSO1leheuj7WfxITEikKSIQNML0RAwxxiYN41/1dbWkpWV5ZwUKwh9gb2mjhJ7LS7vffgow/Gpo93rAQEBJCUltZgj1WtjUN7MoBEoV7SGk7vg+3/Dvg8g1whBkq2G8HHtRLYHTuPCS3/A7MlpHja0bRp0AycrTnKs/BhHy46SVZ7VZLuqvvHH2aIsxAfFkxyS3GRJCkkiOSQZm9XWov7qunqyix1dhpUcL7aTVWSuiyspqmg6/hVotZjiZQhWUoRDwAwxCwu0eo2ACUJv0Jvj7SJQg5XSbNi/xlgOfwH11Yb7+rAZxnyrEZdAaNvh870NrTX5lflOsTpefrzJUlZT1uT8yIBIp2AlBSc1WcfaYpt0HTo4VV1Httl9mFVsZ+2+fL49UkhVbQOKlsnIgv19m7S+kiJcRCwyUOZ/Cf2eXvFYdtTRi04SQjt4NB9PWCJMucVYaiqMcav9H8GBj43uQIAh6TD8YmNJntrl+VZ9hVKKWFsssbbYJgF3HZRWlxrCdeq4U8Cyy7PZlreND4982MTb0OpjdUblSApJIiE4wdgOTiIxPJGRQ2J5f1sOG48UUVVrXKeBAF8f7rpwOMNjQ8gyW12O7sSvDxW0cOAIDfBtFC2zBZYYbgqZCJjQD/DGmJodcTMPAG4BxmGk2wBAa31z75rWPt7Qgup2pIneQmvI2wMHPoGDn8Kxb6ChzmhdpZ3fGJYpcpgzoO1AoLa+ltyKXLJOZZFVnkXWqSyyy7PJPpVN1qmsJvO8AIKsQVTaQ6muCkfXRtJQE4GujaChNoI4WwJfL2z55qi1pthe65zrlWWOe2WXOFpklS0m3oYFWp1diEkRNlO8RMAE76E3f8t6cx7USuB74McYQWLnAnu11nd3xdCexBsEqtfnSfUUVWWQ+SUc/MwQrBIz8Gd4Cgy7wEgXkjYdbO7z8QwUTtWccoqVQ7he3bQVZS3Cx68Y5dN0bCrEGkJCcIKz5RUfFG+sg+NJCEogzD+sxdiUwwMxq7iSrOJKsksMAcsqNpw5st0IWGiAL4lmC6xJ68vsRgwN9JUxMKHX6a3eoN4UqK1a60lKqR1a6/FKKSvwkdba47++3iBQvdlv22toDUWH4fBaY97VkfXGBGEUxGXAsOmQNgOGngV+QZ62tteZ+NuPKamsBTTKYjfEylqCzVbK9WcFk1uRS/YpQ8xc3eYBAn0DSQhKcApWfHA88UHxJAQnEB8UT3RgNL4+TXvSXQWseQvM0Z3YvAvRMQbm2vJKdNmP9CIvREFoTm+OQTmCrZUopdKBE0BqZz9ooOKN/bbtohREnWYsU2413NhzthqCdXgdbFgGX/8JfKyQeIbRJZh2HiSd2WZUi/5K4++6QtcHoeuDaKhKxlJv5YFpjenKtdaUVpeSU5FD7ilDtHIrcsmtyCXnVA67CnY1mbQMhgfiENsQ4oLinOIVHxTv3D9vSBwhfk2DjmqtKbHXmi0wu4uQGfsbjxRRXt00sEug1UJCeICzFeYQLkdLLDbE32vngQlCa3SkBXUr8A5GcNjlQDDwsNa6ZUz6PsYbWlBeOwbVHWrsxpjVkfVGt2DOVtANxkThpCmQeg4MPcfY9mvp4t3f6MlWsL3W3kS0cityOVFxwrk+WXHSGWHeQbA1mLigOIYEDSHOFkdckMtiM8oDfZu+8JRW1pJVbCfbFK9sZ3eiIWLF9qZBfK0WRXyYi3CZ4pUYEUhSuI24sAD8fPtnJA7B+xE3cw/iUS++vqCqFI5+A0f/YwS5zd1uCJajhTX0bGNJPtOII9jP6MtxxPqGegoqCzhhP0HuKUO0nNv2E5yoOEFRVVGL68L8w5xi5VgPsQ1pXNuGNJkPVlFd1yhc5trYNxw78sqrm0xkVgqGhAQ0Ea5GATPW3h4LccD/H/ZjenMMyh/4IUa3nms+KI9n1fUWgRp0VJXCsW8NwTr6tdHCaqgD5QNDxkHKWYY7e8pZhhu8l/Pe1mwWrNxOrWveKx/FkmsneOQHrrq+mryKPKdgOZaT9pPOdfOuRIBQv1BibbFNRCvWFttk7XDqqK6rJ7ekyo2IGQKWW1LVJJQUGBEFEsMN4Upw6UJMMAXMk9E4BmRPxgCiN8eg3gdKgS24BIsVBjEBYY0BbsGYf5W12egWPPo1bH0dNr5kHAtLNlpWydOM9ZB0sHjhm3jz39U+/p11//bfcg6Yg6q6Kk7aT5Jnz3OK1skKY/+k/STfF35PUVURulnnpb/Fn5jAmCbCFWOLYWz0EGbYYomxGZObfZUf+eXVZJc0joFlF1eSU1JJZmEFXx0soKKZI4e/r4+z1ZUQZq5NQUsMD+zVbsRu520TAO9rhXakBbVLa53e6YqV+itGuvg8x/VKqUjgLYzWWCZwnda6WBmvXc8B/wXYgfla6+/a+wxpQXkp9XVwcqfRLXj8W2MpzzWOWW1Gt2DSFHOZDMGxHjXX01MFeuvtv7ahlgJ7gSFeppg5BMyxnWfPa5K80kGYf5hTyJxrWwyxgbFE26KJCYjBqsI4WVpHTomLgJVWkl1SRXZxJQWnmtarFMSG+DdpdSWGG2Lm2A8N6Jo7fb/0pvUyerMnoTdbUF8rpTK01js7WfcK4HngVZey+4DPtNZPKqXuM/cXApcBI8xlKvCCuRb6IxZfSJhkLGf93HBrLz0OxzcaS9ZG+Hqp0S0IxlysxMmGWCVOhvjxYO07L8ieTlnSWXrr7d/qYzU8B4NbT02utaaspqyJYOVX5htrez75lfkcLDlIYWUh9bq+xfUR/hHE2GKICYwhJiKG0QkxnBsYTYwthlBrHA11oVRXBZFXWk92SaVTzHZll/Lx7pMtUowH+/uSEB5AQnjT1pexH8CQUPdZmfulN62XsWj17ibiBFDboFm0erfHWlEdEahzgflKqSMYXXwK0FrrNlO+a63XK6VSmxVfBcwwt18B1mEI1FXAq9pozm1QSoUrpeK11rkd/B6CN6OUIULhKZBxjVFWW2k4W2RtMoXrWyNpI4CPL8SONVpaiadDwukQM7rXugY9/ePmSYFUShHmH0aYfxgjIka0el59Qz3F1cXk2/OdIpZfme8UsXx7PgdKDrQqZCF+IUQHRhMTGkPSkCgmBcYQFRCFv084ui6UmmobpypsFJb5kltaRU5pJduPl7TwRvRRMCQ0gPiwAKeAJYQHcll6HK9tOEp1XaPg9WjetkGAMRew4+V9QUf+4y/rwc8b4hAdrXWuUsrRt5MIHHc5L8ssayFQSqnbgdsBUlJSetA0oU+xBkLKNGNxUJYL2VuMJec72PUP2LLcOOYbaEwiTpgECRONdfRI8LF025ReT0rZDp4WyI5g8bEQHRhNdGA0Y6LGtHpeg26guKqY/Mp8CioLyLeba3O/oLKAnfk7KawqbDHpGcDXx5eowCiiI6M5e2wU4X5R+KswqA+mvjaYyiobZad8KC5X7MyudtsKM+pRpETZ2HC4kKOFdmOOmClmcWEBBFi7/9wIvU+7AqW1PtoHdrjrdHY7OKa1fgl4CYwxqN40yoG3DRwOWELjIfQKIyEjQEODEfEiZ6shWNnfwdbXYOOLxnGrzXC6SJgI8RMgbrzR0upkMNw+TUrpBk8LZE/io3yICowiKjCqzfO01tjr7E4BK6gqoLCykHx7PoVVhRRUFpBnz2Nv4V6Kqopatsr8wC/Oj9S0KEL9IrD5hGNVYei6YOpqgrBXBlJWEcAnB/0pLLNCfSDQ2DUYHexHfJjRbehYJ4QHOueKxYT4YxlkE5sjbNYWLVZHuafo1XlQZhffv1ycJPYBM8zWUzywTms9Sin1orn9ZvPz2qq/L5wkxH3Vy2ioh4IDhmjlbjeWEzug5pRx3OIHsWOM1lbcBGM9ZBwEhHrW7naQl6DWadANlFSXUFhZ6GyFFVUVOfcLqwoprCyksKqQ4qpit12MFmUhxBpBgE8ovjoUXR9MbY3NFDJ/qqps6PpgdF0wuj4IX+XHkNAAFwFrFDNH92KEbWDlCHtvazYLVm2ntt7FScKiWHKN55wk+lqglgCFLk4SkVrre5VSlwN3YXjxTQWWaq3PbK/+vhAoT3t4CR2goQGKDjWKVe4OY20vbDwnfKgpVukQl26sw4eCj0RPGEg06AZKq0udguUQMsd2UWWRU9CKqoqaJMZ0xaoC8SUE6oOprbVRVRVIfa0RBsshYlZCGBIURUJoNIlhoSSEBRAf3ihg8WEBhPSzKPX9LlhsV1FKvYnhEBENnAQeAd4D3gZSgGPAtVrrItPN/HlgFoab+U1a63aVpy8EStxX+ylaQ/kJQ6hO7DSyEJ/YCYWHcPYe+wUbzhhDxkLsOHM9dsBHdBcasdfaDbGqLqK4qpjCykKKq4ubtMiKqoqca3etMwAa/GmocwiYGc+xLhh/FUKYfzgxtkiGBEeTHBrN0PBYUiMjnV2KgX4DfzzM6wSqL5AWlIF0D3WCmgrI+96Yp3VyD5zcbYhXlUtkhuA4o5swdqy5HmM4ZHh5N6HQuzhc8puIlilshrgVcaKigMLKIkqqSzhVW0IDde7rarCYgYlt+OoQAiyhhFjDiAgIJ8YWRVxwJElhMaSFxzIsKpa44CgCfPtvoGYRqF7C28egvN2+foHWxkTik3uMJI95eyBvL+TvA1dPs9AkiB1tOGI4l5H9Mv6g0Ps4HEEcYlZcVUyevZCs0gKyywrItxdRVFVEWU0pFXWl1OpTNPhUtFqf0n5YVTCBPqEE+4UR6R9OlC2C+OAoEkOjibZFEO4fbiwBxtrma+vUONmg6eLrC/oqkoQ3t1D6Qwuv39JQD8WZkP+9KVjfG0vBAahzGbsIjjOEKnoUxIyC6BHGdkjcgMpWLPQ+dQ11nDxVzMHCkxwpyuNYaR4nyosMMasu5lRNKfb6cuo5hfKtMPKXWVqfL2dRvgT5hhLmH0Z0YAQRAeGE+YcR7h/unP/m2N5yuIrnPs6hstoftDF25vUZdb0ZCXUkY2QewSlc+6BgH+TvbxSumvLG8/xCIHo4RI0wRCtquLGOPG1ApCkRPIe9po6ckipOllWRVXyKzOICssoKyC0vJN9eTHFVCZX15ShLBcpSaa7t+For8fGtRKsKtHLf/QhQVzGMymO3Az3zstuboY4EL6Y/TPIccPhYGhM+8l+N5Q7HjIJ9hlgVHDC2j34NO99uWkdoklnH8MZ15GkQMRQs/cvzS+h7bH6+DI8NZnhsMIYfWmqLc+w1deSWVnGitMpcV5JTWsVJM1JHblkppdVlZivMbgqZsd1QF+ysp69CfrlDBKqfM5AmefZ7lDInG8fDsBlNj9XYDVf4ggOGJ2HhQSg8ALtWGelLnHVYjJBQkcMM4YocZiwRaYZ4+fr35TcS+jE2P19OiwnmtJjgVs+pqq3nZFkVOSVV/Pz1LRSXt5yo68mXXRGofo6noyAIHcTPZk4ezmharjXYiwzBKjpkRM4oNNdZm6C6zOVkBWFJEJEKkWmGaEWmGfsRaRAY3odfyPvw5rFibyXAamFoVBBDo4J45MpxXveyK2NQguAFuP1xnZhgiFfRISg6YohW8RFju/gIVOQ3rSQg3GhlhQ81RWsohJvrsGSw9l835fYQb9aeQbz4ehARKGEg0OUf1+pyKD5qiFVxpiFcJUeNspKjUF/T9PzgOFO0UhqXsGRD0MKS+rWAiTerdyNOEoLQT+lyPij/ECNsU5ybfKINDXDqRKNYFR+FkmPG9vGNRqT45lERgmIhPNkQrbAkU8CSzCUZAiO81m3e0zm9hN5BBEoQPEyv/Lj6+EBogrEMPavl8fo6Y3JyyTEjmWTJcUO8SrOMyBr71zSd6wVG9PiwJAhNhLBEQ7RCE43PCEsy1v4hXbe5G4g368BEBEoQPIxHflwtvkZrKTzZ/XGtoaLAEK/S41CabYhX6XEoy4YDe+HUSVpkxfEPaxTG0ARTwOKNdUi8UdYLLbELRsfwtw3H3JYL/RcRKEHwMF45VUApCI4xlsTT3Z9TVwPlOVCWYwhYWZaxXZbT2BI7lUcLEfMNMMQqxHTJd2yHxDWWBcd1ajLz2u/zO1Uu9A9EoATBw/TbqQK+fqa3YGrr59TXGpOXy3JMMcs1WmDlJ4wuxuzvjG032XXxDzNFa4ghWM51HAQPMZaQIeAf6rYFCrRaLvQPRKAEwQuYMynR+wWpK1isbXclgtGdWFVqilYOlJ80xKs81yg7dRKObzDK66tbXu8byHr/EPJ1GPk6vHFNGEWEw/FYCDYXq4xJ9SdEoARB8CxKGZOMA8ONaPGtobWRFqX8pCFap046BWzLf7YSQwnDVA5n+uwlUp1qvO7//aFx2y/E6LYMioWgaEO0mmzHmEu0Ma/MS70WBwsiUIIg9A+UMhwsAiNaCNnTW5vOg7JSRxSljA2t5q/XpJiClmdMbnasCw8acRIri9x/no8v2KIbBSso2tyPMtfRLusoQ9AkQ3OPIgIlCEK/p7mjSS2+lFpjmX1ZBoxsp+u0vg7shVCRZ4iXvdAQsIp8w5OxosDYLjpsHKs55b4eZTGyMdtMAXNuuy6RjeWBkYZbvrTSWkUEShCEfk+3HE0svoazRciQjn1YbRXYTeGyF0BFoSFc9kJj315ohKjK32fsVxaDbnBfl4/VEKxAU7gCIxrXrmWBzY4NkqDBEupIEAShN2logOpSQ8gqi1zErMjcN8sqi5uWNbSMLO7EajOEKiDcFDBzDK9FmbkfEGZuhxnpYvoYCXUkeJQH39vJm98ep15rLEpxw9RkHpuT0f6FgjDQ8fFpHDvrKFpDTYUhVpXFLuJV7LKUGE4jlcVGBHzHdvMIIM3xDzVFLMxFvMIbtwPCjOj4I2d273v3ACJQQrd58L2dTWbx12vt3BeREoQuoBT4BxtLeErnrq2tdBEvl3VlsbFdVWosjmNFh83tUqitMOpIPW/wCpRS6lfArRhTzHcCNwHxwN+BSOA74Cda65pWKxG8hje/Pd5quQiUIPQx1kBjCY3v/LX1tVBV1nb3Yh/S5z6RSqlE4H+AyVrrdMAC/Ah4CnhGaz0CKAZu6WvbhK5R38o4ZmvlgiB4KRar4UYfEudpSwAPCJSJLxColPIFbEAucCGwyjz+CjDHQ7YJncTSiptsa+WCIAgdoc8FSmudDTwNHMMQplJgC1Cita4zT8sC3PqHKqVuV0ptVkptzs+XQJDewA1T3Yexaa1cEAShI3iiiy8CuApIAxKAIOAyN6e67R/SWr+ktZ6stZ4cEyOh9L2Bx+ZkcOO0FGeLyaIUN05LkfEnQRC6hSecJC4Gjmit8wGUUv8AzgbClVK+ZisqCcjxgG1CF3lsToYIkiAIPYonxqCOAdOUUjallAIuAvYAa4FrzHPmAe97wDZBEATBS/DEGNS3GM4Q32G4mPsALwELgXuUUgeBKOD/9bVtgiAIgvfgkXlQWutHgEeaFR8GzvSAOYLAe1uz+1/CQEEY4EgkCWHQ897W7CaRsLNLKrn/HzsBRKQEwYNI8hJh0LPko31OcXJQWVvPko/2ecgiQRBABEoQyHFJdNeRckEQ+gYRKGHQkxAe2KlyQRD6BhEoYdCz4NJRBFqb5sgJtFpYcOkoD1kkCAKIk4QgdC8bqyAIvYYIlCBgiJQIkiB4F9LFJwiCIHglIlCCIAiCVyICJQiCIHglSvfjrKdKqXzgaA9WGQ0U9GB9PY232wfeb6PY13283UZvtw+838aetm+o1rrT+ZH6tUD1NEqpzVrryZ62ozW83T7wfhvFvu7j7TZ6u33g/TZ6i33SxScIgiB4JSJQgiAIglciAtWUlzxtQDt4u33g/TaKfd3H2230dvvA+230CvtkDEoQBEHwSqQFJQiCIHglA1aglFKzlFL7lFIHlVL3uTnur5R6yzz+rVIq1eXY/Wb5PqXUpR2ts69sVEpdopTaopTaaa4vdLlmnVnnNnOJ9YB9qUqpShcblrlcc4Zp90Gl1FKllPKAfXNdbNumlGpQSk00j/XY/eugjecrpb5TStUppa5pdmyeUuqAucxzKe/Le+jWPqXURKXUN0qp3UqpHUqp612OrVBKHXG5hxO7al93bDSP1bvYsdqlPM18Jg6Yz4hfX9unlLqg2XNYpZSaYx7rsXvYAfvuUUrtMf+Onymlhroc6/VnsE201gNuASzAIWAY4AdsB8Y2O+fnwDJz+0fAW+b2WPN8fyDNrMfSkTr70MZJQIK5nQ5ku1yzDpjs4XuYCuxqpd6NwFmAAj4ELutr+5qdkwEc7un71wkbU4HxwKvANS7lkcBhcx1hbkd44B62Zt9IYIS5nQDkAuHm/grXcz11D81jp1qp923gR+b2MuBnnrCv2d+7CLD15D3soH0XuHzuz2j8P+71Z7C9ZaC2oM4EDmqtD2uta4C/A1c1O+cq4BVzexVwkfkWcBXwd611tdb6CHDQrK8jdfaJjVrrrVrrHLN8NxCglPLvhi09al9rFSql4oFQrfU32njKXwXmeNi+G4A3u2hDt23UWmdqrXcADc2uvRT4RGtdpLUuBj4BZvX1PWzNPq31fq31AXM7B8gDOj0RszdtbA3zGbgQ45kA4xnp83vYjGuAD7XW9i7a0R371rp87gYgydzui2ewTQaqQCUCx132s8wyt+doreuAUiCqjWs7Umdf2ejKD4GtWutql7LlZrfAQ91oenfXvjSl1Fal1BdKqfNczs9qp86+ss/B9bQUqJ64fx21sbPX9vU9bBel1JkYb+eHXIofN7uMnunmy1N3bQxQSm1WSm1wdJ9hPAMl5jPRlTp70j4HP6Llc9gT97Cz9t2C0SJq69qefAbbZKAKlLsflebuiq2d09nyrtIdG42DSo0DngL+2+X4XK11BnCeufzEA/blAila60nAPcAbSqnQDtbZF/YZB5WaCti11rtcjvfU/euojZ29tq/vYdsVGG/TrwE3aa0dLYT7gdHAFIzuoYVdtK8nbEzRRkSEHwPPKqVO64E6Xempe5gBfORS3FP3sMP2KaVuBCYDS9q5tqd/C1tloApUFpDssp8E5LR2jlLKFwjD6ANu7dqO1NlXNqKUSgLeBX6qtXa+uWqts811OfAGRhO/T+0zu0cLTTu2YLxZjzTPT3K5vjv3sFv3z6TFW2sP3r+O2tjZa/v6HraK+dLxAfCg1nqDo1xrnasNqoHleO4eOrof0VofxhhfnIQRYy7cfCY6XWdP2mdyHfCu1rrWUdCD97BD9imlLgYeAGa79Mb0xTPYNr0xsOXpBSMR42EMJwfHwOC4ZufcSdMB9LfN7XE0dZI4jDHQ2G6dfWhjuHn+D93UGW1uWzH62O/wgH0xgMXcHgZkA5Hm/iZgGo2Dq//V1/aZ+z4Y/2jDeuP+ddRGl3NX0NJJ4gjG4HSEud3n97AN+/yAz4Bfujk33lwr4FngSQ/dwwjA39yOBg5gOggAK2nqJPHzvrbPpXwDcEFv3MMO/p9MwniJHNGsvNefwXbt741KvWEB/gvYb974B8yyRzHeEAACzIf0IIZHiusP1QPmdftw8U5xV6cnbAQeBCqAbS5LLBAEbAF2YDhPPIcpFH1s3w/Nz98OfAdc6VLnZGCXWefzmJPFPfA3ngFsaFZfj96/Dto4BUMoK4BCYLfLtTebth/E6ELzxD10ax9wI1Db7BmcaB77HNhp2vg3INgT9xA427Rju7m+xaXOYeYzcdB8Rvw99DdOxXiB82lWZ4/dww7Y9ylw0uXvuLovn8G2FokkIQiCIHglA3UMShAEQejniEAJgiAIXokIlCAIguCViEAJgiAIXokIlCAIguCViEAJgiAIXokIlCB0EKVUuFLq5y77CUqpVW1d043PmqOUergH63tauaRlEYT+gMyDEoQOoox8Uv/SWqf3wWd9jTGRsqCH6hsKvKy1ntkT9QlCXyAtKEHoOE8Cp5mRzpcoIzHjLgCl1Hyl1HtKqX+aiebuMhPBbTUjaUea552mlFqjjESTXyqlRjf/EKXUSKDaIU5KqWuVUruUUtuVUuvNMotpwyYz4vV/u1x/r5lMbrtS6kkArfVRIEopFdfrd0kQegjf9trUiuEAACAASURBVE8RBMHkPiBda+3Ivpva7Hg6RlyzAIzQMAu11pOUUs8AP8WIqfYSRny/A2Y09T9j5CZy5RyMEFEOHgYu1VpnK6XCzbJbgFKt9RQzFcNXSqmPMSJgzwGmaq3tDmE0+c6s+50u3wFB6ENEoASh51irjSjo5UqpUuCfZvlOYLxSKhgjPtxKlzRT7vL8xAP5LvtfASuUUm8D/zDLZpp1OlKIhwEjgIuB5dpMQKe1do3enoeR/VYQ+gUiUILQc7gmjWxw2W/A+F/zwUiUN7GdeioxBAcArfUdZmvrcmCbUmoiRhTpX2itXXMIoZSaReu5eQLMugWhXyBjUILQccqBkK5erLUuA44opa4FI/W4UmqCm1P3AsMdO0qp07TW32qtH8bIZZSMkdzuZ0opq3nOSKVUEPAxcLNSymaWu3bxjcSIQC0I/QIRKEHoINpIwviV6bCwpN0L3DMXuEUptR0jpcdVbs5ZD0xySTe/xHR62GUe2w78BdgDfGeWvwj4aq3XAKuBzUqpbcCvAUwhGw5s7qLdgtDniJu5IHghSqnngH9qrT/tofp+AJyutX6oJ+oThL5AWlCC4J08Adh6sD5f4A89WJ8g9DrSghIEQRC8EmlBCYIgCF6JCJQgCILglYhACYIgCF6JCJQgCILglYhACYIgCF6JCJQgCILglYhACYIgCF6JCJQgCILglYhACYIgCF6JCJQgCILglYhACYIgCF6JCJQgCILglfTrjLrR0dE6NTXV02YIgiAIbbBly5YCrXVMZ6/r1wKVmprK5s2Sf00QBMGbUUod7cp10sUnCIIgeCUiUIIgCIJXIgIlCIIgeCX9egxKEAYitbW1ZGVlUVVV5WlTBKFTBAQEkJSUhNVq7ZH6PCJQSqlMoByoB+q01pOVUpHAW0AqkAlcp7Uu7gt73tuazZKP9pFTUklCeCALLh3FnEmJffHRgtCCrKwsQkJCSE1NRSnlaXMEoUNorSksLCQrK4u0tLQeqdOTXXwXaK0naq0nm/v3AZ9prUcAn5n7vc57W7NZsHI72SWVaCC7pJIFK7fz3tbsvvh4QWhBVVUVUVFRIk5Cv0IpRVRUVI+2/L1pDOoq4BVz+xVgTl986KLVu6lt0E3Kahs0i1bv7ouPFwS3iDgJ/ZGefm49JVAa+FgptUUpdbtZNkRrnQtgrmPdXaiUul0ptVkptTk/P7/bhpRU1naqXBAEQegbPCVQ52itTwcuA+5USp3f0Qu11i9prSdrrSfHxHR6YnKXeG9rNuc8+Tlp933AOU9+Lt1/woBn6dKljBkzhrlz57Z5XnBwMACZmZmkp6f3ul2Oz+vuOUL/wCNOElrrHHOdp5R6FzgTOKmUitda5yql4oG8vrAlwmal2N6ytRRhM7xQ3tuazf3/2EllbT1gjFHd/4+dAOJIIQxY/vznP/Phhx/22GC3IHSFPm9BKaWClFIhjm1gJrALWA3MM0+bB7zfF/Y8cuU4rBZF/akiTq76LfUVJVgtikeuHAfAko/2OcXJQWVtPUs+2ufclxaWMJC44447OHz4MLNnz+aZZ55h0aJFPP30087j6enpZGZmdqiudevWMX36dK677jpGjhzJfffdx+uvv86ZZ55JRkYGhw4dAuDo0aNcdNFFjB8/nosuuohjx44BcOTIEc466yymTJnCQw891KTuJUuWMGXKFMaPH88jjzzSM19e8Co80YIaArxrDqb5Am9ordcopTYBbyulbgGOAdf2hTFzJiVSU1vPXXfdTdWhTZz46508/sJrztZRTkml2+sc5dLCEnqVX/4Stm3r2TonToRnn2318LJly1izZg1r164lOjqaRYsWdevjtm/fzt69e4mMjGTYsGHceuutbNy4keeee44//elPPPvss9x111389P+zd9/hUVRfA8e/N4UUWigBUoCEHkijhK4GqSo/RJoCIkURERRRKSooVkDkRRBEQSkKAoJSRCnSBJEOgdADJCChBQglECDlvn/sZt1AKtnsbuB8nmcedmdn7p5Mlpy9M3fueeEFevbsyYwZM3j99ddZsmQJgwYNon///rzwwgtMmTLF1Obq1auJiopi+/btaK1p164dGzdu5NFHc3y1QBQAVu9Baa1PaK1DjEstrfWnxvWXtNbNtdZVjf9etlZMXYI8mVO5HJ7BrVDOLrz3YgemTJmC1hpvD7cM90lbn5MelhAPs7CwMLy8vHBxcaFy5cq0atUKgKCgIFNPbMuWLXTr1g2AHj168PfffwOwefNmunbtalqfZvXq1axevZratWtTp04dDh8+TFRUlBV/KmENMpMEMGLVMeZVbEu7O1s5X60xa3YtZeDAgWzZso0hb41O10MCcHN2ZEjr6kD2PSwh8iSLno61ODk5kZqaanqe2/tcXFxcTI8dHBxMzx0cHEhOTs5wH/PhyhkNXdZa884779CvX79cxSIKFnu6D8omRiyJZM7WU6QAa6o25GzZynSp2gjH4uXYe6UEVW/G8dkzgfh4uKEAHw83RncIMp2+y66HJURB5+fnx+7duwHYvXs30dHRFn+Pxo0bM3/+fADmzp1L06ZNAWjSpEm69Wlat27NjBkzSEhIACA2NpYLF6wyrkpY0UOfoOZt+zfd84tFSvBX6BN0aTMQN/8w2i+KYkDrMBpdWM6J0U+yefjj6a4tDWldHTdnx3RtmPewhCjoOnbsyOXLlwkNDWXq1KlUq1bN4u8xadIkZs6cSXBwMD/++CMTJ04EYOLEiUyZMoWwsDCuXr1q2r5Vq1Z069aNRo0aERQURKdOnbh+/brF4xK2pbTW2W9lp+rVq6fzWrDQb/jvmb62q18IAz6Zx88/vo9OukU5/zpUeOED3nm6brokJXP5CUs6dOgQAQEBtg5DiPuS0edXKbXLbFq7HHvor0E5KkVKBknaUSlK+fvy7ICuXLqt2X18J+e2/cKNsc8zYFsv+GyYKQm1r+0jCUkIISzsoT/F17VB+SzXf/jbQaJ8a1GuYWdqtn+HhJQkzqz8ioVjplkzTCGEeOg89D2oT9oHAYZrUSla46gUXRuUN61Pm5Pvhos7VGtEcOcPOXXxFGeLefNPrwG49ujAqZI15BSfEEJY2EOfoMCQpNISUnaulK9FKa+qxCUn0fKP3dyc/TX1K4dxrsNIlIOD3KgrhBAW8tCf4stO2px85pKcCuFQojhPd+iBY+ESbD++A+9pfSl/+iAgN+oKIYQlSILKRtpcfeacHRUftgvkpzGv4tt/BqWbdmfr9Yts+Wk45We/gWvSLblRVwgh8kgSVDba1/ZhXKeQdDfqjusUYjp951OqGIWbdMW3y0do1yJcLB/I10vG0OmshedPE6KAmTVrFgMHDsx2mzNnzpiev/TSSxw8eDC/QxMFhFyDyoGshpE3q+HJnK2ncKwYgu9rc0lOTeYlFE7TX+GI12QWrF2LW82aVo5YiIJh1qxZBAYG4u3tDcB3331n44iEPZEeVB6tP/xfVV+lFEmOziTfvMbxOzf47dw5nmvQlKvDhkGinPITBUf79u2pW7cutWrVYto0wy0VRYoU4b333iMkJISGDRty/vx5AH777TcaNGhA7dq1adGihWl9muvXr+Pv709SkmFE7LVr1/Dz82PhwoXs3LmT7t27ExoaSmJiIuHh4aTdfL9y5Urq1KlDSEgIzZs3t+JPL+yF9KDyKKNrTQ5FS+LTfxbJ235i2T+L8Z04mUZfTWbGlxPw7dsXMpj8UoiMfPjbAQ6euWbRNmt6FzPVO8vMjBkzKFmyJImJiYSFhdGxY0du3LhBw4YN+fTTTxk6dCjTp09nxIgRNG3alK1bt6KU4rvvvuPzzz9n/PjxpraKFi1KeHg4v//+O+3bt2f+/Pl07NiRzp07M2XKFL744gvq1Us/yUBcXBx9+/Zl48aN+Pv7c/my1YobCDsiPag8ymxS2PKeHkStnU/fL+Zyy7UofybeZPaHE9EtWsD+/VaOUojcmTRpkqmn9O+//xIVFUWhQoVo27YtAHXr1jWVyjh9+jStW7cmKCiIcePGceDAgXvae+mll5g5cyYAM2fOpHfv3lm+/9atW3n00UdNFX1LlixpwZ9OFBTSg8qjIa2rZ1qOo7CLE9PefI6+Tz/Oa18tZLqrH8eid5JStz79nmpDk+nToVQpG0Yv7F12PZ38sGHDBtasWcOWLVtwd3cnPDycW7du4ezsbCp94ejoaCqV8dprr/Hmm2/Srl07NmzYkGGBwyZNmhATE8Nff/1FSkoKgYGBWcagtc6wzIZ4uEgPKo/a1/ZhdIegTMtxAIRVLsPf4/sz4qkAVt64zI93Emnz2+9EVq4CEyeC8dy8EPbg6tWrlChRAnd3dw4fPszWrVuz3d7Hx/B5nz17dqbbvfDCC3Tt2jVd76lo0aIZzkLeqFEj/vrrL1NpDznF93CyWYJSSjkqpfYopZYbn/srpbYppaKUUguUUoVsFdvdluyJpcmYdfgP/50mY9axZE9sutfb1/Zh8/DHiR7z1D3lONI4OTrw0iOV2P7DZzTu8TY3HJ0ISUjguRGf8KWPD8mLF0MBnllePDjatGlDcnIywcHBjBw5koYNG2a5/ahRo+jcuTOPPPIIpUuXznS77t27Ex8fb6qQC9CrVy9eeeUV0yCJNJ6enkybNo0OHToQEhLCs88+m/cfTBQ4Niu3oZR6E6gHFNNat1VK/Qz8qrWer5T6BtirtZ6aVRuWKLeRnSV7YjM8hXd3Lym3Fv29n1dfe4O4iLWAYlvh4tRvUAe++AJq17ZA5KKgelDLbSxatIilS5fy448/2joUkY8sWW7DJj0opZQv8BTwnfG5Ah4HFhk3mQ20t0Vsdxu36ki65ASWmcqoU9NATm1fxStjZ1Kuw3B6vvYD45LK8FHdupzq2BH+/Tf7RoQoIF577TWGDx/OyJEjbR2KKEBsdYrvS2AokGp8Xgq4orVONj4/DWTYPVFKvayU2qmU2hkXF5fRJhaV2ZRFlpjKyNXZkalDe7F9+ggerenFR1cv8YHWPLViDYlVq8I778CVK3l+HyFs7auvvuLYsWP5Uo1XPLisnqCUUm2BC1rrXearM9g0w3OPWutpWut6Wut6np6e+RKjucyGkWe2/n6UL+nOtz3qMWPiWErVaMD+xGuUcS3G8K++4QcfH1LHj4fbtzPdP7trZEIIURDZogfVBGinlIoB5mM4tfcl4KGUShv27gucyXh36xrSujpuzo7p1qUNI7e0zuG1Obv/H4Z8+SNJzm6MvXGFl+4kc2rkR1C9OvzwA6SkP92Ydo0s9koiGkzlPiRJCSEKOqsnKK31O1prX621H/AcsE5r3R1YD3QybtYTWGrt2DKSk2HkluTs6MDng57nVNRB2rw0HM/Oo2g7+Cc+rvE4r/fsxdEaNWDpUtOIv/y6RiaEELZmTzfqDgPmK6U+AfYA39s4HpOsJovNL2U8CrNi+miOxyXw2e+H+HTOLm6j2XH1Nuvat8etQQP47DNiM7kWltn6/DJiSWSmVYmFEOJ+2PRGXa31Bq11W+PjE1rr+lrrKlrrzlrrzC+6PEQqexbh+15hzPh2KqWr1WVr3L+UKlGWZ2POMap5c2bNe4c6sYfu2c/Rinfhj1gSyZytp0gx9upStGbO1lOMWBJptRiEEA8emUmigOjWpjHnD+3gg6/nolwK8/P5k4wtUgKtHPh1zhBmLBxFrXPHTNunWPH+tnnbMh4Sn9l6Yf8mTZpEQEAA3bt3z3K7IkWKABATE5Pt9EWWkPZ+97tNTEwMSim++uor07qBAwcya9asLNscNWoUPj4+hIaGmpYrMsI239nTKT6RDQcHxaj+3RjapxOvfzyJrbe86e1UnJIH1nF75RTGz34DVbUhXzbtxrVq1pvDLbNkaM0kKSzr66+/ZsWKFabJWh8kZcqUYeLEifTr149ChXI+Yc3gwYN5++238zEycTfpQRVA7i6F+O6Tt9nySWda1yrLgV3LOZh8m+e9quF46V+WzXydn1ePg717rRJPZqcTrXma8UEWHh5u+oaflJREeHg4c+bMAeDmzZuEh4ezYMECwDAvXnh4OL/++isAFy9eJDw8nN9++w2Ac+fOZft+r7zyCidOnKBdu3ZMmDCBUaNG8cUXX5heDwwMNM1knp0NGzbw2GOP0aVLF6pVq8bw4cOZO3cu9evXJygoiOPHjwNw8uRJmjdvTnBwMM2bN+fUqVMAREdH06hRI8LCwu65yXfcuHGEhYURHBzMBx98kKN4wDCNUvPmzTOcN3D69OmEhYUREhJCx44duXnzZpZt/d///R99+vQBIDIyksDAQG7evMmoUaPo0aMHjz/+OFWrVmX69Ok5jk/8RxJUAVbU1Zlve9Rj4syfKdWoE5fjYmh55TzlvSrRctNaroeGwjPPwJ49+RpH1wblc7Ve2LdvvvkGb29v1q9fz+DBg/Pc3t69e5k4cSKRkZH8+OOPHD16lO3bt/PSSy+ZTrUNHDiQF154gX379tG9e3def/11AAYNGkT//v3ZsWMH5cqVM7W5evVqoqKi2L59OxEREezatYuNGzfmOKbhw4czfvx4Uu66baNDhw7s2LGDvXv3EhAQwPff/zdWa8KECabTe82aNQPgjTfe4NixYyxevJjevXvz7bff4u7uDsC+ffv4/fff2bJlCx999FG60vYiZ+QU3wPgldYhvNJ6IbsPHaPv4HfZvfoXrvoEMP6FN+k/8yNu1qmDX9u2qJEjoX59i79/2mg9GcWXPzZs2GB67OzsnO65u7t7uufFixdP97x06dLpnpv/kbeWsLAwvLy8AKhcuTKtWrUCICgoiPXr1wOwZcsWU6+vR48eDB06FIDNmzfzyy+/mNYPGzYMMCSo1atXU9s4b2VCQgJRUVE8+uijOYrJ39+f+vXr89NPP6Vbv3//fkaMGMGVK1dISEigdevWptcyOsXn4ODArFmzCA4Opl+/fjRp0sT02tNPP42bmxtubm40a9aM7du30769XczgVmDkOUEppUoA5c3b0lrvzmu7IvfqBFRh18qf2bRrP0uibvHjvgt8HdiaS+e/55X1fzFl+XJo2RJGjIAc/kfOqU/aB0lCekA5OTmRmppqen7r1q1c7e/i4mJ67ODgYHru4OBgqil1N/NaUBnVhdJa884779CvX79cxWLu3XffpVOnTumSWq9evViyZAkhISHMmjUrXXLPTFRUFEWKFLmnh3R33FLfKvfydIpPKfUxsA+YBIw3Ll9kuZPId4/UDWT8c/VY99Zj+DhcJTU1hal3knj0kf+x4UAUqx97DN20KaxYISU+RLb8/PzYvdvwnXP37t2mGk2W1LhxY+bPnw/A3Llzadq0KWAodGi+Pk3r1q2ZMWMGCQkJAMTGxnLhwoVcvWeNGjWoWbMmy5cvN627fv06Xl5eJCUlpXu/zFy9epVBgwaxceNGLl26xKJFi0yvLV26lFu3bnHp0iU2bNhAWFhYruITeb8G1QWorLUO11o3My6PWyIwkXcVSxVmz8r5rNy4lap1m7Jp0280O3+aNkqx81w8PPkk1KkDCxZAJt9khejYsSOXL18mNDSUqVOn5suEr5MmTWLmzJkEBwfz448/MnHiRAAmTpzIlClTCAsL4+rVq6btW7VqRbdu3WjUqBFBQUF06tQpw8KH2Xnvvfc4ffq06fnHH39MgwYNaNmyJTVq1Ei3rfk1qNDQUGJiYhg8eDCvvvoq1apV4/vvv2f48OGmRFm/fn2eeuopGjZsyMiRI/H29r6fQ/NQy1M9KKXUL0B/rXXuvrpYiDXqQRUES/bEMm7VEc5cScTbw40hratnOPPFms07eG3Ie8S5+lK8YSdaO1zgzncjaXv+NO0rVYIhQ6BXL3B1tf4PIUwe1HpQD5NRo0ZRpEiRh3JYuiXrQeX1GtRoYI9Saj9gmvlBa90uj+2KHLq7oGLaZLHAPUmqRZMwDv2zmnNXb/HdphP836ffE3/+NIu9/HHyqkLb/v1Jfv99nAYNgv79oWTJXMWRkyQphBA5ldce1AHgWyCS/2o7obX+K++hZU96UNBkzLoM593z8XBj8/Csz7bu3HeQAUPeZ8eapWidile1utyK2c+K24k0KFwYXnwR3ngDsrlZM7+qDj+spAeVd5GRkfTo0SPdOhcXF7Zt22ajiB4e9tSDuqi1npTHNkQe5KWgYr3gmmxbtYijx2MY8M5HrF08FweXwrwzbA6vnt9L9alj8fzqK8p16gRvvgkNG2bYTlYzqkuCErYQFBRERESErcMQeZTXQRK7lFKjlVKNlFJ10haLRCZyxBIFFatV9uPPn2dw+t9/+WrBCpw9SvN6cjlqOzpRza0IF9dvgkaNoHFjWLjwngEV+Vl1WAjx8MprgqoNNAQ+Q4aZ24QlCyp6lytD/6casPKNR3irqScuboW5fvM63imKJ598ga6Hj7GtSxeoUgXGjzeVo7dG1WEhxMMnTwnKbGh5Mxlmbhv5UVBRKcVbvTpxLe4M//ftbEqVKs2KP35g/pWLvNVhIP8EPcKdt9/mtrc3vPoqH1ZztFrVYSHEwyOvgyTez2i91vqj+240F2SQhHVorfljzQZmLt/EcY96XL6Vys1lH5MYHck2FLVu3+RCw0f5olpLfikbTLmSRWQUXx7IIAlRkFlykEReT/HdMFtSgCcAvzy2KeyMUoqnWjZj0cT32TKiNUObliI+OpIbtxMJK+lDp3YvsfjUKTr/MJLji95gs+Mu2leQe6kKMqkHlZ55PajAwECWLVuW7vWQkBC6du2abWwid/J6im+82fIpEA5k+bVZKeWqlNqulNqrlDqglPrQuN5fKbVNKRWllFqglMp5oRZhNa7Ojgz4XyPi484z9KPPceEOvyz7jlfOnuIJnyqsC3qMlGHD0T4+0Ls37Nhh65DFffj666/5448/cjTdT0GTVg/qzp07udpv8ODBREREsHDhQvr06WOan/DQoUOkpqayceNGbty4kR8hP7QsXW7DHaiUzTa3gce11iFAKNBGKdUQGAtM0FpXBeKBFy0cm7CgokWLMnbkEC6dPsGCxcsJeaQV5ToMo09AJwI6DsHDsRDfLVpimD29Xj347juQ/7z3JTw8/J7l66+/Bv6rB3X3ktYjSKsHZb5kR+pBZV0PKiAgACcnJy5evAjATz/9RI8ePWjVqtU9PSuRN3mdLDZSKbXPuBwAjgATs9pHGyQYnzobFw08DqTNtDgbkHnpCwAHBwe6tH+KiL9WsGdCH6Z0q8PF7Uu4dvM6ryhHGrfszgxdlN/69iXFywsGDoTISFuHLbIg9aAyrgeVZtu2bTg4OODp6QnAggULePbZZ+natSvz5s3L9fERmcvrjbptzR4nA+e11tnOOqqUcgR2AVWAKcBx4IrZvqfJ5FShUupl4GWAChUq3H/kwqLMpzqq3vdLat4+xJpf57Dlz7lsUQ6A4pOnX6HvTz/gOWUKqlEj6NsXunSBwoVtHb5dy6rkw931oO52dz0oW3hQ6kFNmDCBOXPmULRoURYsWIBSih07duDp6UnFihXx9fWlT58+xMfHU6JEifs6ViK9vF6DOokhmSQBjoC3UirbrKG1TtFahwK+QH0goyFLGQ4v1FpP01rX01rXS/sGI2wrbaqj2CuJaOBsQgr/EMDEOcvYtWcvTz3bk6BnXmG6z2OEdR2LZzl/mkWdIvnFl8Db2zDv324pIWav7LkeVEREBBERERw7dowXX8zdVYF3332XsWPHpvvZevXqxeTJk4mMjOSDDz5I97OmXYPatGkTjzzyCADz5s3j8OHD+Pn5UblyZa5du2ZKqCLv8nqK7zXgPPAn8LtxWZ7lTma01leADRhu9vVQSqX16HwBqY9cQGQ11VGd0GCWz5vBvl+/Zt1bj1Gv0L9cOhfNhotn8KxWnxeadODjuT9zsm5dqF0bJk+G+Hgb/SQiI1IPKmOpqaksXLiQffv2ERMTQ0xMDEuXLpXTfBaU10ESg4DqWutaWusg4xKc1Q5KKU+llIfxsRvQAjgErAc6GTfrCSzNY2zCSnI61VElzyL8MmEE+/YfoFPv/tw+e5QfV8zi/euXeTK8G/N86xH/5lBulSsHXbvC6tVw1zUCYX1SDypjGzduxMfHBx+f/65GPProoxw8eJCzZ8/mOhZxr7zeqLseaJmT605m+wRjGAThiCFB/qy1/kgpVQmYD5QE9gDPa61vZ96S3KhrL+53RvWkpCTm/bKUH5esIinwaWISFBd//Zjb0bsZWyGA16P34+TjDS+8AD17Qj78YbRHcqOuKMgseaNuXhPU90B1DKf2zOtB/d99N5oLkqDsgyXKbWit2XHsPE82a8Sl2BhwcMKjaj1qOTsRGn2QCTcu49yokSFRdekCD/BFaElQoiCzp5kkTmG4/lQIKGq2iIeIJeYDVEpRv2o5Lp6OZvvOXXR4/kVunzvK5v1/M1XBk+8uYlKpEH57czgJZctC586wbBnk8mZL8XCIjIxMV549NDSUBg0a2DoskUt56kHZmvSgHmzJycksWb6C05Rk8znFuqXzubxqCkU8yjLMP5h+h7dRytUBh+eeg+7dDSVBMhjxVdBID0oUZPZUsFCIfOPk5ESn9v8D4A3gp7KXee/UJmIO7WPk7lV8VNIXff0ir63Ywgffz6a4dxno1s2QrHL5B37EkkjmbfuXFK1xVIquDcrzSfugfPiphBA5ZempjoTIN92eaUv0gT1cOH+OkaO/oFzpEuDkxPzw3tR7Yz4NvOvQaupMjofUhdBQGDsWTp7Mtt0RSyKZs/UUKcazCSlaM2frKUYskRkvhLAlSVCiwPH09OSj4W9x6sg+rl26wIoPe/B8Q192bF3Kn5fPUKukF2GFyvPe1HlsqxoATZrApEmQydDfedv+zdV6IYR13NcpPqXUV2Qy0wOA1vr1+45IiFxwc3MjpLwbIeVD6XH0CJ9Pns5vv/3Gzh3L2QmMLuRG92odIMbhwwAAIABJREFUePK75TQcPhL/+rUNowA7doSyZQFMPae7ZbZeCGEd99uD2olhLr3MFiGsrlKlSnzzf6OJjdrP8ePHeXnQEDoMfJ+YgNq8Ub0xle8k4rHvKB9+NZ/YakHQrBl8/TWeCTJzxd1yUncpp4YMGUKNGjUIDg7mmWee4cqVK4DhPriePXsSFBREQEAAo0ePzrKdlStXUr16dapUqcKYMWMy3GbWrFl4enqaRu599913pteGDRtGYGAggYGBLFiwwLS+V69e+Pv7m/aJiIjINIa6deuaynSMHj36ntkmZs2ahYODA/v27TOtM5/9fd68eQQFBREcHEybNm1MM6IDfPXVV1SvXp1atWqZ5iLMyM2bN+nevTtBQUEEBgbStGlT04wajo6O6UYuxsTEcOnSJZo1a0aRIkUYOHBgpu3OmjWLM2eyn8Dns88+y3Ybi9Fa53nBMLS8iCXays1St25dLUR2UlNT9bdzf9WlvCtolNKAdixWRhdyLap7VKmvD5auqLeUD9QfNH9ZN+g/S1cctty02MLBgwdztf3i3ad149Frtd+w5brx6LV68e7TeY6hcOHCeW4jzapVq3RSUpLWWuuhQ4fqoUOHaq21njt3rn722We11lrfuHFDV6xYUUdHR2fYRnJysq5UqZI+fvy4vn37tg4ODtYHDhy4Z7uZM2fqAQMG3LN++fLlukWLFjopKUknJCTounXr6qtXr2qtte7Zs6deuHBhtj9HdHS0/t///md6Hh4eri9cuHDP+5cvX1536dLFtK5WrVo6OjpaJyUlaU9PTx0XF6e11nrIkCH6gw8+0FprvW7dOt28eXN969YtrbXW58+fzzSOzz77TA8ePNj0/PDhw6b9Mvq9JSQk6E2bNumpU6dmeGzSPPbYY3rHjh2Zvp4mu89GRp9fYKe+j7/xeZ2LL1AptQfYDxxUSu1SStXKc9YUwoKUUrzc7Rkuxp7kwvnzjJ4wmSpVKpOccoeVoU/wxItTeLZ8Lebu+YOBv37Koh+H8PK2X6h0xf6nq7l7ot7YK4m882skS/bE5rnthIQEmjdvTp06dQgKCmLpUsPsYzExMQQEBNC3b19q1apFq1atSEzMeLorMExL5ORkuJrQsGFD09RCSilu3LhBcnIyiYmJFCpUiGLFimXYxvbt26lSpQqVKlWiUKFCPPfcc6Z4cuLgwYM89thjODk5UbhwYUJCQli5cmWO9wdYsWIFbdq0AeDatWvcuXOHjCasbtu2LQcOHODIkSPp1qf90b1x4wZaa65du4a3tzcAU6dOZfjw4aaJdMuUKZNpHGfPnk03vVL16tXTTch7t8KFC9O0aVNcXTOvcr1o0SJ27txJ9+7dCQ0N5erVq1SvXt30M3Tt2pXp06czfPhwEhMTCQ0NzbbasiXkdZDENOBNrXVFrXUF4C1get7DEiJ/eHp6MvyNARze9Q+3byaw//vh1PcvQez+9Ry7fJoecdE0cy7E4tMHqbpkLBdC6sH778OePWCH16Symqg3r1xdXVm8eDG7d+9m/fr1vPXWW2lnTIiKimLAgAEcOHAADw+PHM/gPWPGDJ544gkAOnXqROHChfHy8qJChQq8/fbblCxZMsP9YmNjKV++vOm5r68vsbEZJ+FffvmF4OBgOnXqxL//Gga6hISEsGLFCm7evMnFixdZv3696TUwzMkXHBzM4MGDuX074xnWVq5caUpQa9asoXnz5hlu5+DgwNChQ+85Febs7MzUqVMJCgrC29ubgwcPmmZgP3r0KJs2baJBgwY89thj7MiiEnWfPn0YO3YsjRo1YsSIEURFRZleS0seoaGhPPPMM5m2cbdOnTpRr1495s6dS0REBMWLF2fy5Mn06tWL+fPnEx8fT9++fRkzZgxubm5ERERYpdpyXhNUYa31+rQnWusNgBT3EQWCk5MTZYq58nO/xgydsZKynT+iaN223Lp2gZ3HtjHtwgkaNB9O52Pu9O7Ul7XVQ9Gvvw5r10JSkq3DB3I+Ue/90Frz7rvvEhwcTIsWLYiNjeX8+fMApms2YLguk5MKu59++ilOTk6mb97bt2/H0dGRM2fOEB0dzfjx4zlx4kSmsdwtozIc//vf/4iJiWHfvn20aNGCnj17AoZe3JNPPknjxo3p2rUrjRo1MvXqRo8ezeHDh9mxYweXL19m7Nix97R7584dTp8+TaVKhoLhK1euNCXajHTr1o2tW7emm/k9KSmJqVOnsmfPHs6cOUNwcLDpultycjLx8fFs3bqVcePG0aVLlwx/ZoDQ0FBOnDjBkCFDuHz5MmFhYRw6dAjAlDwiIiJYvHhxpvHlRMuWLQkKCmLAgAHpruVZU14T1Aml1EillJ9xGQFYfi5+IfLZZx1rc+7nkVzbvpiky2eIjNzPpJnzeLV1IGfKlWTWiV20OBaJ54pttBv0GV/XbMj1rt1h/nwwXvS3BW8Pt1ytz425c+cSFxfHrl27iIiIoGzZsqb6SOanlBwdHTOt65Rm9uzZLF++nLlz55oSy08//USbNm1wdnamTJkyNGnShMxmhvH19U3X4zl9+rTp9Ji5UqVKmWLr27cvu3b9N2brvffeIyIigj///BOtNVWrVgXAy8sLpRQuLi707t2b7du339Pupk2bTCVAwJBc69evn+nP6+TkxFtvvZUu2aUNvqhcuTJKKbp06cI///xj+vk6dOhgmPKrfn0cHBzSDaC4W5EiRejQoQNff/01zz//PH/88Uem296v1NRUDh06hJubG5cvX7Z4+zmR1wTVB/AEfgUWGx/3zmtQQthaYGAtXuvZhSGta7Dqo258NOYLghs8ys244/x2YB0Dju2m7D+RPL/kGJNb9mRXi3bo/5sAZqdbrGFI6+q4OTumW+fm7MiQ1tXz3PbVq1cpU6YMzs7OrF+/npM5uOk5IytXrmTs2LEsW7YMd3d30/oKFSqwbt0603WZrVu3ZlriIiwsjKioKKKjo7lz5w7z58+nXbt292xnXuZi2bJlpil3UlJSuHTpEgD79u1j3759psq+aftorVmyZAmBgYEZ/gxpPaYDBw5Qo0YNHB0d79nOXK9evVizZg1xcXEA+Pj4cPDgQdPzP//80xRf+/btWbduHWA43Xfnzh1Kly6dYbubN28m3lgz7c6dOxw8eJCKFStmGUtOFC1aNF3JkgkTJhAQEMC8efPo06cPScazBs7OzqbH+e5+RlbYyyKj+IS1paSk6L+3bNXNnnhadx85RTf/+A9drGEXDWj3Ur66Zc1wPb1+G33pjbe1XrNG69u3c/0eth7Fl5SUpEuWLKnj4uJ0w4YNdd26dfWLL76oa9SooaOjo3V0dLSuVauWaftx48aZRqNlpHLlytrX11eHhITokJAQ3a9fP6211tevX9edOnXSNWvW1AEBAfrzzz/PMq7ff/9dV61aVVeqVEl/8sknpvUjR47US5cu1VprPXz4cF2zZk0dHBysw8PD9aFDh7TWWicmJuqAgAAdEBCgGzRooPfs2WPav1mzZjowMFDXqlVLd+/eXV+/fv2e965Xr56+efOm6eedOXNmhjHePYpw4sSJGjCNTpw6daquUaOGDgoK0m3bttUXL17UWmt9+/Zt3b17d12rVi1du3ZtvXbt2kyPw+zZs3VQUJAODAzUNWvW1EOGDNGpqala68xH2FWsWFGXKFFCFy5cWPv4+JhGQL744oumkXuLFi3S1apV0yEhIToiIkLXqFFDX7t2TWut9eDBg/X777+vtTaMxKxRo4bu1q1bhu9lyVF8eS23UQ94F/DD7KZfnU3RQkuRyWKFPZjx00I++vBDLpw7S+I146kQ5UCj5i/TQd+hYWkn6j9ej0JPPgG+vtm2Z+vJYvfu3Uvfvn0zPNX1MDp9+jR9+/ZlxYoVgOHazA8//ICXl5eNI7NP9lQP6ggwBIgEUtPWa63v71xALkmCEvZEa83BQ4f5YvI0Vv3xOyFd3uWoKsWpaf1ISbhEtYohPFWmHM83DCbkqWY4NG0KGQwPtmWC+uabb5g0aRJffvml6RSYELlhTwnqb6110+y3zB+SoIS9u3LzDh2f7cY/61ZxK/Em6FRwcKRQkVL0frw3jxRNpX5wRaq0a4mqWhWUsnkP6n4NGDCAzZs3p1s3aNAgevfO+WXpS5cuZTh8e+3atZQqVSrLfeNv3uH81VvcSUmlkKMDZYu7UsK9UI7f296sWrWKYcOGpVvn7++f59F5+c2eElRzoCuwlvQVdX/NYp/ywA9AOQy9rmla64lKqZLAAgynC2OALlrrLOegkQQlCpLr16+z+I8/+fzzcVy6GE/FZz/hdMINYr99kULuxalfKZQ21arQbmhfaoWG4ODsbOuQC4z4m3eIjU8k1ezvmYNS+JRwK9BJqqDRWnP48GG7SVBzgBrAAf47xae11n2y2McL8NJa71ZKFcUwd197oBdwWWs9Rik1HCihtR6WWTsgCUoUbFprNkcc5vmO7TlzNpakWzcAmDhxEo2aPkpZD0/cnR0oUtQNl2JFUQ5SfCAzh89e405K6j3rCzk6UMMr49kphGVprbl06RLXr1/H398/3Wu2KlgYorXOVVU3rfVZ4Kzx8XWl1CHAB3gaCDduNhvYAGSZoIQoyJRSNK0dwPP/t8hQj+pGPHdi9jJ6/CQ+Lu6JX5UkUpNukXorAeXgiLOTM67OzhQu7I6zq0uGN6o+rGLjEzMsr6AAfSXv94SJnHF1dcU3BwOBciqvPajpwASt9cH73N8P2AgEAqe01h5mr8VrrUtksM/LwMsAFSpUqHu/92YIYS8qv/NHhqU9HICRAdcZ9vZgbiclc+3aJdN0SxWfGkwLvyr4Ol2lYZNQHn+6JYUKPbwFspuMWUdsBrNn+Hi4sXn44zaISJi73x5UXs8ZNAUilFJHlFL7lFKRSql92e4FKKWKAL8Ab2itr+X0DbXW07TW9bTW9TKaqFGIgiazulOpQO+ez3Eh7ixXr8RxJT6esR+PpYJ3RR4r7sJx7cboBTN5osuTFC5VFr+AxjzdtifTpv5EfELG88k9qPLzhmVhO3n9ytXmfnZSSjljSE5zzQZUnFdKeWmtzxqvU13IY2xC5NiSPbGMW3WEM1cS8fZwY0jr6rSv7ZP9jhbgqFSGScrxrlN4xYsXZ+iIoQwd8V+toCkVLjNh8lc4OhYmJmY/Jw9vYdkfc/joQArVCzmQHLmcurWDea5XV+rVqIiDw4N5WjDtd2Wr36HIH3k6xXdfb2g4cT4bw4CIN8zWjwMumQ2SKKm1zrxqFzJIQlhGWskK81nB3ZwdGd0hyCp/4LpP38Lm4/fOddakcknm9m2U43Z0aipzJ01mztwFtK3Xlp1XU5g9/wPD0HagUElvypT25rHwlrz42kBC/UtTorCMcBP5z1aDJO5HE6AHEKmUSitd+S4wBvhZKfUicArobIPYxEMoq5IV1khQMZcynnk8s/WZUQ4OPP/G6zz/xuumdd2f9GPerDncvpHCjlMnOXZsD/NOH+PvEk1Ivn6J+AXvUb5iZcLbtOWpNs1p2TAIV+eH91qWsC9W/yRqrf/GMLgmIxkXWBEiH+VnyYqcyOjiflbrc6Pl88/T8vnnTc/3rFnDyXUbKHtrJ78fiWJM/FmOXI7lyO6/+PYzUE4u1Ah/lo4v9KOST1GqlCxEo6CqODna/xB3W56mFflDviqJh563h1uGycASJStyIqfXoCyhdosW1G7RAoBGwMBjo7i8YQOnd0SwdMc+vo3YzJ3oQ/y6O5ZzczZwefXXOLgUpqx/LaqH1KZxwwZ079CWGr6l7ep61t2nadMqCwOSpAowSVDioTekdfUMr0FZawRYZqP4MltvSeWqVKFclSrUfAlaAZNu3yZx1y7cd+/hl6PneKWQG+6uRbh69iQbjuxgw4Jv+XbtW3gFheN+ajNOCWd45JGmtH60EY/UqWmznpatT9OK/CEJSjz0bD0CzCeTHpyPlXpw5hxdXCjSuDE0bkzngQMMF4LPnoWtW9n723IGLlvOE8e2cPP2TWYc+ZuzpyL5Z+kPjAUcXNwpXq4i/cbOonYlL0o73KB+gB9F3F3zPW5bn6YV+UMSlBAYkpStvmnbugeXLS8veOYZQp55hk1gKHcfGcnLf3gz+xdHvG4ks/1GEqtvXuPkyUMsXLWNeWUqEftdf5Ivx1KknB8Vq9WiVlAwLR57hC5PPk5xd8vOM2jr07Qif1h9mLklyTBz8aAo8Bf44+O5tmEDu5cvp+mFC5w6coqXzp9jw7U4ypWtRNz1SyTfvIKDezF8B/yIT4nCnP11NBUqViCsTh3CG9Xl8Ya1cXe7v96WrW8VEFmzyWSxtiYJSgg7pTWcPs2tzZtx3bsXduxg1LZd/JGcQu+QVuwvXZFpa74l+faN//ZRDpRv8ARd3vyUKqVduXxoK80b16NuYHWcnLI/2VPgk/wDTBKUEMK+aQ3Hj8POnbBrF6tWr+bYseP4unqwwd2DGXHRKLdiVOk7mTOXznN2xgAAlLMLHl5++PpVoeMLL/FU80epVNodD/dCOMgM7wWCJCghRMGTmgrR0bB7N3GbNhG/axfVjhwh9sYd2qSmkFzIjSLeVTh5K4G4fw/hVqkeZTq9T2L0buJ++ZhiZctTsVpNAgJq4lamAvtTfbl4x0l6UHZGEpQQ4sFgPD3I7t0QEQF79qB37+bjf/+lnGtRqnhX589SZRmz43fcipchKTWV5OsXASjR8hWK1WnLjaP/cPPAeoJq1aJ1kzo0rRdCg9qBFCsmtaFsQRKUEOLBFh8Pe/dCRAQpe/ZwYPt2ih8/TvmkZDYVKUHnxAQaVqmPS922bI2J4PQ/80EpU4kSgGbv/UidkCASj+8k9coZwkIDaVovmMr+fjg6Omb+3iJPCtJcfEIIkXslSkB4OISH4wgEg2HI+5Ej/PrubD68EEPAhWiqLxuHSrjE18CjLkU551uVX1ycWXJgK/rkUTY5liRy7jQSj2/nG2PTytEJDy8/3pj8C1W9PLhyYi/eHm6EBdfEy8tLikPaiCQoIUTB5ewMgYHsbPwES83ugyqeeJ0acTF4JJzhTa/bPLdvH9GFC+M952MKA6scnXnT1Z02oY9wqmgJtp88yqmju/n+939QJctzZsYgkuKiAXB0caNEufLUrNOIQSM+wa90YRLPRVOpvBflypWT5JWPJEEJIQq8ZjU8mbP1lOn5VbeibKsQRNWGT0H7IJyAqmnXtiIjab1/PwcOHIADB+DvjUQnJrIW6Db9VS5VDWRUaQ9mXXKgRatunEq4zsnDu9i4dC7R/u1wcHbh38k9SL0Rj2MhVzzK+uJV3o+mzVryUt+++JVyJ+HSOby9vXF2tuwNyQ8bSVBCiAJv/eG47NcrBeXLG5Ynn/xvfWoq/jExvHTwIBw4gPuhQ3x/8CDTXF1xXDkHgD+BVW7uvLJvFjFVQxjs7cuRk4lUbtyW8+dOc3DPNg5FRrAiuRY6NYVT4zuA1hTz9KKMdwUq+PnzRNv/8ewz7ShXzIVrV69QsmRJ6X1lQxKUEKLAy9NcfA4OUKmSYWnb1rTaMTXV0OM6dIiWxoXDh6nyyzR2XrjAWcBvwyJwcWFiqVLsci/OCw6HOF7Km/fLVeBawlVcvavz74VYju/fxd/bdzE5qijcjOfkVz1wcnGjZLnyePlWwM/fn85dnuWp5o/g7gS3bt2SEYdIghJCPADyZS4+BweoUMGwtG6d7iWXy5fxO3IEDh+GQ4cYdOQIHDkC496hRXIybYB4IPT0PlKqVaefhwvXinrQoeIdDmsPxhUvjXZ05pZLCQ4eOcref9bx587DeD49DMdLxznx3SAKuRelVDlfvHzLU7GiH7369KFZwzo4piaRmJj4UPTAJEEJIQo8q0+4W7IkNGpkWMwlJUF0NBWPHqWiMWk5RkXx3ZWLcHAfbNsIQFvAwdOTOl6uXHvsSdpv+hvvql6E1/Zg/5VqTJ5dCOdipbmmCnPxwGF2b1rD2iOXKNGsN/rEVk4t/ASnQq6UKOtDWW8fKlSoyGuD3yYsqDr61nUSEhLw8fEp8NfAbHIflFJqBobf0QWtdaBxXUlgAeAHxABdtNbxWbUj90EJIdLY/Vx816/DsWMQFQVHjxoepz2/cMG0mQb+KlGC0n5+1AoO5lyFyrSd/xONmj1F0NMvsPPwEb57qwvF/QJJdSnGrfizJMWdpESLlw03Ke/8lYtrZ4BSFClRmlJlvPHy8WXk6PHU9Pcl4cK/3Lh+lfLly1O2bNl093/l1zEsUDfqKqUeBRKAH8wS1OfAZa31GKXUcKCE1npYVu1IghJCPBCuXTPMU5iWsI4f/+95bGy6Te8UKcLWcuUoX7kyfoGBHC3hSe+fF/BE5574NH2CdevXMvejVykX8ihJDq5cP3+KO+ei8HzmPdyr1OfSyskk7F0JgHJwpGhJT0qX9abrR98zb0csN07uw8U7AOXkjLODYlznkDwnqQKVoACUUn7AcrMEdQQI11qfVUp5ARu01ln2zyVBCSEeeImJhvkKjx+HEycMS9rj6Gi4dSvd5re9vDhQpgwVqlaldI0a7Hd1551Vq+nUZyDuAXVZ+uvPzP18GDVbdiNRO3DhxAFuRO+lXI8vcPGqxvmFo/BsPxwHZ0PpEw83ZyI+aJWnH+FBSFBXtNYeZq/Ha61LZLDfy8DLABUqVKh78uRJ6wQshBD2JjUVzp//L1ml/Zu2nD5t2CaNgwMp3t6c9famdOXKuFaqxH4nJ77Zu4/tRZsSX8af+CObKVwzPN0AjJgxT+UpzIcmQZmTHpQQQmQhKcmQpKKjISbGsJw8+d/j2FhISUm3y0X34mz0r8Obbd8yrbNVgrKnUXznlVJeZqf4LmS7hxBCiMw5O4O/v2HJSHKyIUmdPMmIicspHncOn2sXOFe0tGmTEu62GwloTwlqGdATGGP8d6ltwxFCiAeckxNUrAgVK1KvaGXeWriXlNT/zqo5Oig++F8tm4Vnk3KUSql5wBagulLqtFLqRQyJqaVSKgpoaXwuhBDCSnSqzvK5tdmkB6W17prJS82tGogQQggARi07QOpd61KN6211P5lNelBCCCHsy5XEpFyttwZJUEIIIeySJCghhBAULpRxyfvM1luDJCghhBA4O2acDjJbbw2SoIQQQnA1k2tNma23BklQQgghMq2dlaeaWnkkCUoIIQRDWlfHzTn99aZ8ramVA/Y0k4QQQggbSbvXyZ5qakmCEkIIARiSlD0VeZRTfEIIIeySJCghhBB2SRKUEEIIuyQJSgghhF2yWUVdS1BKxQGWrPleGrhowfYszd7jA/uPUeLLO3uP0d7jA/uP0dLxVdRae+Z2pwKdoCxNKbXzfsoSW4u9xwf2H6PEl3f2HqO9xwf2H6O9xCen+IQQQtglSVBCCCHskiSo9KbZOoBs2Ht8YP8xSnx5Z+8x2nt8YP8x2kV8cg1KCCGEXZIelBBCCLskCUoIIYRdemATlFKqjVLqiFLqmFJqeAavuyilFhhf36aU8jN77R3j+iNKqdY5bdNaMSqlWiqldimlIo3/Pm62zwZjmxHGpYwN4vNTSiWaxfCN2T51jXEfU0pNUkopG8TX3Sy2CKVUqlIq1PiaxY5fDmN8VCm1WymVrJTqdNdrPZVSUcalp9l6ax7DDONTSoUqpbYopQ4opfYppZ41e22WUira7BiG3m98eYnR+FqKWRzLzNb7Gz8TUcbPSCFrx6eUanbX5/CWUqq98TWLHcMcxPemUuqg8fe4VilV0ey1fP8MZklr/cAtgCNwHKgEFAL2AjXv2uZV4Bvj4+eABcbHNY3buwD+xnYcc9KmFWOsDXgbHwcCsWb7bADq2fgY+gH7M2l3O9AIUMAK4Alrx3fXNkHACUsfv1zE6AcEAz8AnczWlwROGP8tYXxcwgbHMLP4qgFVjY+9gbOAh/H5LPNtbXUMja8lZNLuz8BzxsffAP1tEd9dv+/LgLslj2EO42tm9r79+e//cb5/BrNbHtQeVH3gmNb6hNb6DjAfePqubZ4GZhsfLwKaG78FPA3M11rf1lpHA8eM7eWkTavEqLXeo7U+Y1x/AHBVSrnkIRaLxpdZg0opL6CY1nqLNnzKfwDa2zi+rsC8+4whzzFqrWO01vuA1Lv2bQ38qbW+rLWOB/4E2lj7GGYWn9b6qNY6yvj4DHAByPVMAfkZY2aMn4HHMXwmwPAZsfoxvEsnYIXW+uZ9xpGX+Nabve9WwNf42BqfwSw9qAnKB/jX7Plp47oMt9FaJwNXgVJZ7JuTNq0Vo7mOwB6t9W2zdTONpwVG5qHrndf4/JVSe5RSfymlHjHb/nQ2bVorvjTPcm+CssTxy2mMud3X2scwW0qp+hi+nR83W/2p8ZTRhDx+ecprjK5KqZ1Kqa1pp88wfAauGD8T99OmJeNL8xz3fg4tcQxzG9+LGHpEWe1ryc9glh7UBJXRH5W7x9Nntk1u19+vvMRoeFGpWsBYoJ/Z69211kHAI8alhw3iOwtU0FrXBt4EflJKFcthm9aIz/CiUg2Am1rr/WavW+r45TTG3O5r7WOYdQOGb9M/Ar211mk9hHeAGkAYhtNDw+4zPkvEWEEbpuzpBnyplKpsgTbNWeoYBgGrzFZb6hjmOD6l1PNAPWBcNvta+m9hph7UBHUaKG/23Bc4k9k2SiknoDiGc8CZ7ZuTNq0VI0opX2Ax8ILW2vTNVWsda/z3OvAThi6+VeMznh69ZIxjF4Zv1tWM2/ua7Z+XY5in42d0z7dWCx6/nMaY232tfQwzZfzS8TswQmu9NW291vqsNrgNzMR2xzDt9CNa6xMYri/WxjAJqofxM5HrNi0Zn1EXYLHWOilthQWPYY7iU0q1AN4D2pmdjbHGZzBr+XFhy9YLhlL2JzAMcki7MFjrrm0GkP4C+s/Gx7VIP0jiBIYLjdm2acUYPYzbd8ygzdLGx84YzrG/YoP4PAFH4+NKQCxQ0vh8B9CQ/y6vfYKgAAAgAElEQVSuPmnt+IzPHTD8R6uUH8cvpzGabTuLewdJRGO4OF3C+NjqxzCL+AoBa4E3MtjWy/ivAr4ExtjoGJYAXIyPSwNRGAcIAAtJP0jiVWvHZ7Z+K9AsP45hDv+f1MbwJbLqXevz/TOYbfz50ag9LMCTwFHjgX/PuO4jDN8QAFyNH9JjGEakmP+hes+43xHMRqdk1KYtYgRGADeACLOlDFAY2AXswzB4YiLGRGHl+Doa338vsBv4n1mb9YD9xjYnY5zNxAa/43Bg613tWfT45TDGMAyJ8gZwCThgtm8fY+zHMJxCs8UxzDA+4Hkg6a7PYKjxtXVApDHGOUARWxxDoLExjr3Gf180a7OS8TNxzPgZcbHR79gPwxc4h7vatNgxzEF8a4DzZr/HZdb8DGa1yFRHQggh7NKDeg1KCCFEAScJSgghhF2SBCWEEMIuSYISQghhlyRBCSGEsEuSoITIIaWUh1LqVbPn3kqpRVntk4f3aq+Uet+C7X2hzGa9F6IgkGHmQuSQMpTrWK61DrTCe/2D4T6VixZqryIwXWvdyhLtCWEN0oMSIufGAJWNE8mOU4a6V/sBlFK9lFJLlFK/Gev4DDTW2dljnKi0pHG7ykqplcpQx2uTUqrG3W+ilKoG3E5LTkqpzkqp/UqpvUqpjcZ1jsYYdhgnFO1ntv9QY62evUqpMQBa65NAKaVUuXw/SkJYiFP2mwghjIYDgVrrtOKGfne9Hohh2hhXDHfeD9Na11ZKTQBewDBlzTQM0ydFGSer/RpD6QdzTTDMwJHmfaC11jpWKeVhXPcicFVrHWac6XqzUmo1hglG2wMNtNY30xKj0W5j27/c9xEQwookQQlhOeu1YZLZ60qpq8BvxvWRQLBSqgiG6XcWmlXxyKiMghcQZ/Z8MzBLKfUz8KtxXStjm2kVWosDVYEWwExtrO+jtTafHPcChuKCQhQIkqCEsBzzmlypZs9TMfxfc8BQhyi78t2JGBIOAFrrV4y9raeAtPLfCnhNa21eogGlVBsyL33gamxbiAJBrkEJkXPXgaL3u7PW+hoQrZTqDIbKrkqpkAw2PQRUSXuilKqstd6mtX4fQ6mI8hhqB/VXSjkbt6mmlCoMrAb6KKXcjevNT/FVwzDBpxAFgiQoIXJIG2pcbTYOWBiX7Q4Z6w68qJTai2HG9LvL1ANsBGqbVfMdZxz0sN/42l7gO+AgsNu4/lvASWu9ElgG7FRKRQBvAxgTWRVg533GLYTVyTBzIeyQUmoi8JvWeo2F2nsGqKO1HmmJ9oSwBulBCWGfPgPcLdieEzDegu0Jke+kByWEEMIuSQ9KCCGEXZIEJYQQwi5JghJCCGGXJEEJIYSwS5KghBBC2CVJUEIIIeySJCghhBB2SRKUEEIIuyQJSgghhF2SBCWEEMIuSYISQghhlyRBCSGEsEuSoIQQQtilAl3yvXTp0trPz8/WYQghhMjCrl27LmqtPXO7X4FOUH5+fuzcKQVChRDCnimlTt7PfnKKTwghhF2SBCWEEMIuSYISQghhlyRBCSGEsEuSoIQQQtglSVBCCCHskiQoIYQQdkkSlBBCCLskCUoIIYRdKtAzSQhhaUv2xDJu1RHOXEnE28ONIa2r0762j63DEuKhJAlKCKMle2J559dIEpNSAIi9ksg7v0YCSJISwgascopPKTVDKXVBKbU/k9eLK6V+U0rtVUodUEr1tkZcQpgbt+qIKTmlSUxKYdyqIzaKSGRmyZ5YmoxZh//w32kyZh1L9sTaOiSRD6x1DWoW0CaL1wcAB7XWIUA4MF4pVcgKcQlhcuZKYq7WC9tI6+nGXklE819PV5LUg8cqCUprvRG4nNUmQFGllAKKGLdNtkZsQqTx9nDL1XphG9LTfXjYyyi+yUAAcAaIBAZprVMz2lAp9bJSaqdSamdcXJw1YxQPuCGtq+Pm7JhunZuzI0NaV7dRRCIj0tN9eNhLgmoNRADeQCgwWSlVLKMNtdbTtNb1tNb1PD1zXf9KiEy1r+3D6A5B+Hi4oQAfDzdGdwiSARJ2Rnq6Dw97GcXXGxijtdbAMaVUNFAD2G7bsMTDpn1tH0lIdm5I6+rpRluC9HQfVPbSgzoFNAdQSpUFqgMnbBqREMIuSU/34WGVHpRSah6G0XmllVKngQ8AZwCt9TfAx8AspVQkoIBhWuuL1ohNCFHwSE/34WCVBKW17prN62eAVtaIRQghHjYFdYYUe7kGJYQQIh8U5BlS7OUalBBCiHxQkO8bkwQlhBAPsIJ835gkKCGEeIAV5PvGJEEJIcQDrCDPkCKDJIQQ4gGWNhBCRvEJIYSwOwX1vjE5xSeEEMIuSYISQghhlyRBCSGEsEuSoIQQQtglGSQhhJmCOmeZEA8iSVBCGBXkOcuEyEpB/eIlp/iEMCrIc5YJkZm0L16xVxLR/PfFa8meWFuHli1JUEIYFeQ5y4TITEH+4iUJSgijgjxnmRCZKchfvCRBCWFUkOcsEyIzBfmLlyQoIYza1/ZhdIcgfDzcUICPhxujOwQViIvJQmSmIH/xklF8QpgpqHOWCZEZmSxWiAdEQR2OK0RWCuoXL0lQQhjJfVBC2Be5BiWEUUEejivEg0gSlPj/9u49SqrqzPv49yfdgBfUCJhRWgSviA2iaTVGR01URDOiJiSRwTUiDkaDiSsxKm/MmMRc0GHy5maUEMfBTIzG6AQxUbxEEl1kCDYIyCVGIiY2+EYERSPKRZ/3jzrdNk11d1V39alT3b/PWrWsc2qfU09ti35q77PP3pao5OG4Zt2Ru/jMEvvvvStr8ySjNIbj+tqX2c7cgjJLlGs4biVPRWPWlYpKUJIOkvSApFckvSzpfkkHFXDc7Un55a28frWkJcljuaR3JO1TTGxmnVWu+6B87cssv2K7+H4G/BA4P9m+ALgLOL6d42YBNwM/yfdiREwHpgNIOgf4fERsLDI2s04rx3BcX/syy6/YBKWI+O9m2z+VdEV7B0XEE5KGFPge48klPbMeYa9dq3ntrW1595uVQqVe4yw2Qc2TNBW4GwjgU8CvG7vjOtvqkbQbMAZoNelJuhS4FGDw4MGdeTuzTJCK229WjEq+v6/YBPWp5L+fbrF/ErmE1e71qHacA8xvK9FFxExgJkBdXV108v3Myu61zTu3ntrab1aMtq5xdqsEFRFDuyqQROM1LbMeo5zD2637q+RrnEUlKEm9gI8CQ5ofGxH/t7OBSNoLOAW4sLPnMqskV595+A5dMFA5s01b9lXyD6Biu/geAN4GngHeLfQgSXcBpwIDJDUAXwGqASJiRlLsfOCRiHizyJisHeW6QFqpF2bTVsmzTVv2VfIPIEUUfhlH0rKIGNmF8RSlrq4u6uvryx1Gps1+ei1X37uUbe+89/+5upeYPu6oLv0D2PLCLOT+UXh9JbP0lfvHoqRFEVFX9HFFJqibgN9ExCPFvlFXcIJq39E3PMKreS62v2+3ap6+fnSXve+JNz6et1th0N67Mn/qR7rsfc0sezqaoIrt4lsA/FLSLsA2QEBExJ7FvrGlI19yamt/qVTyhVkzy4Zi5+L7NnACsFtE7BkR/ZycLJ/WLsBWwoVZM8uGYhPUc8DyKKZf0Mpq71ZmI2htf6mUa+JVM+s+iu3iewn4raSHgC2NO0sxzLwSlPtCY0d8deyRXP2LpWx7t9kgiV3EV8ce2aXv65FpZtZZxSaoNcmjd/LoMSp1upByJopyTLxqZt1HUaP4mg6Sds/C/UppjuLzqDSz7KjE3oxyKnd9pTKKT9IJwH8CewCDJR0FfDoiPlPsG1caj0qzrlTuPyCVpFJ7M8qlkuur2EES3wXOBDYARMRS4ORSB5VFHpVmXcUr6hbHCzwWp5Lrq+gl3yPixRa73slbsJvxqDTrKpX8B6Qc3JtRnEqur2IT1IuSPgSEpN6Svgis6oK4Mqdcy4Fb91fJf0DKwb0Zxank+ip2FN9lwPeAQUAD8AjQ7a8/NfKoNOsKlTzbdDlU8uSn5VDJ9VVsC+rwiJgQEe+PiH0j4kLgiK4IzKyncPdxcdybUZxKrq9iJ4tdHBHHtLcvLZ4sNtu+PPsZ7vrDi7wTQS+J8ccfwDfOG1HusDLJo/isO+vSYebJ8PIPAQMlfaHZS3sCvfIfZT3Zl2c/w08X/LVp+52Ipm0nqZ25+9hsZ4Veg+pN7t6nKqBfs/2vA+NKHVSl8q/g99z1h5aDPd/b7wS1M393zHZWUIKKiN8Bv5M0KyL+0sUxVaSWCwOufe0trr53KZD9m+G6wjutdB23tr8nq+QbKc26UlGDJJycWve1B1bssGotwLZ3gq89sALI/RE68cbHGTr115x44+Pd/ibMXlJR+3sy3wdlll/RN+pafm0tDNgTZwoYf/wBRe3vyXwflFl+TlBF6GgrqCf+Qv7GeSM48eB9dth34sH7+PpTHpV8I6VZVyoqQUnqK2mKpFsk3d746KrgsqS9VlBbCwP2xF/Is59ey+K/btph3+K/burWrcaO8n1QZvkV24L6b+AfyE0Y+zugBnij1EFlUXutoK+OPZLqXXa8vtK4MGBP/IXcE1uNHVXJN1KadaVipzo6JCI+IenciLhD0s+Ah7sisKxprxV03tGDqP/Lxh1uTP3UcQc0/ZGp1KlGOqontho7w/dBme2s2ATVOBLgNUm1wP8DhpQ0ooxqb7602U+v5b5Fa5uGUb8TwX2L1lJ34D49cvnzSp1fzvcjmWVHsQlqpqT3Af8GzCF38+71JY8qgz48bOAOMyM03w9td2k1/jruSX/oKnGCSt+PZJYtxd4HdVtEvBoRv4uIg5IJY2e0d1wymOJlScvbKHOqpCWSVkj6XTFxpWHeH9e3ud9dWjuqxOsqvm5mli3FLvneB/g4uW69pmMj4oZ2Dp0F3Az8pJXz7g3cAoyJiL9K2reYuNLQXgKq1C6trlRprUb/yDDLlmJH8d0PnAtsB95s9mhTRDwBbGyjyD8D/xMRf03Kv1xkXF2uvZF4Hipc+XriaEuzLCv2GlRNRIzpgjgOA6ol/ZbcZLTfi4jWWluXApcCDB48uAtCya+9ayo9cSBEd9PedUYzS1exCer3kkZExDNdEMcHgNOAXYH/lbQgIv7UsmBEzARmQm49qBLH0apCElCldWnZjtq7zmhm6So2QZ0ETJS0BtgCCIiIGNnJOBqAVyLiTeBNSU8ARwE7JahycgLq3nwNyixbik1QZ3VJFLlrWzdLqiK39tTxwHe66L3M8vJAF7NsKSpBdXS5DUl3AacCAyQ1AF8BqpNzzoiIVZLmAsuAd4HbIqLVIelmXaES793qqXxDdc9QbAuqQyJifAFlpgPTUwjHLC8PdKkMvqG650glQZlVCl9nzL72Zm2x7sPrQZlZRfFglp7DLSgzqyh77VrNa2/tvIL1Xq2syWaVe83OCcrMKopU3P6erpKv2bmLz8wqymubd249tbW/p6vkSZCdoMysonjOxOJU8jU7JygzqyiemLk4lZzQnaDMrKJU4lpj5VTJCd2DJMys4vh+tcJV8g3oTlBmZt1cpSZ0d/GZmVkmOUGZmVkmuYsvJZV6J7eZWbk4QRWho0mmku/kNjMrF3fxFagxyax97S2C95LM7KfXtntsJd/JbWZWLk5QBepMkqnkO7nNzMrFXXwF6kySKfdS4r7+ZWaVyAmqQJ1JMuVcStzXvyrPtm3baGho4O233y53KGZF6du3LzU1NVRXl2bpEyeoAnUmyZTzTm6vPlp5Ghoa6NevH0OGDEFeQ8IqRESwYcMGGhoaGDp0aEnO6QRVoM4mmXLdye3rX5Xn7bffdnKyiiOJ/v37s379+pKd0wmqCJU4XUi5r39Zxzg5WSUq9ffWo/hKaPbTaznxxscZOvXXnHjj4wUNQe9qlTyTsZn1bG5BlUhWByNU8kzGZtazuQVVIlm+Gfe8owcxf+pHWHPjR5k/9SNOTtauPfbYo2Tnuvrqqxk2bBgjR47k/PPP57XXXgNyoxUvuugiRowYwRFHHMG0adPaPM/cuXM5/PDDOeSQQ7jxxhvzlpk1axYDBw5k1KhRjBo1ittuu63ptWuvvZba2lpqa2v5+c9/3rR/4sSJDB06tOmYJUuWtBrDBz7wAbZu3QrAtGnTuPPOO3d6/1122YVly5Y17autreWFF14A4K677mLEiBGMHDmSMWPG8MorrzSV+8EPfsDhhx/OkUceyTXXXNNqDJs3b2bChAmMGDGC2tpaTjrpJP7+978D0KtXr6bPMWrUKF544QU2bNjAhz/8YfbYYw+uuOKKVs87a9Ys1q1b1+rrjb71rW+1W6ZU3IIqkfYGI/heJOsqWf9unXHGGUybNo2qqiquvfZapk2bxk033cQvfvELtmzZwjPPPMPmzZsZPnw448ePZ8iQITud45133mHKlCk8+uij1NTUcOyxxzJ27FiGDx++U9lPfepT3HzzzTvs+/Wvf83ixYtZsmQJW7Zs4ZRTTuGss85izz33BGD69OmMGzeuzc/xwgsvMGjQIHr37g3AI488wj333LNTuZqaGr75zW/ukAQBtm/fzpVXXsnKlSsZMGAA11xzDTfffDNf/epXmTdvHvfffz/Lli2jT58+vPzyy63G8b3vfY/3v//9PPNMrofm2WefbRrWveuuu+6UYN98802+/vWvs3z5cpYvX97qeWfNmkVtbS37779/m/XwrW99iy996UttlimVVFpQkm6X9LKkvLUj6VRJmyQtSR7XpxFXKbW1rHJnpkkya0tXfrf+/ve/c9ppp3HMMccwYsQI7r//fiD3h/qII45g8uTJHHnkkYwePZq33mp9VOjo0aOpqsr9Fv7gBz9IQ0MDkLug/uabb7J9+3beeustevfu3ZQwWlq4cCGHHHIIBx10EL179+aCCy5oiqcQK1eu5JRTTqGqqordd9+do446irlz5xZ8PMBDDz3EmDFjAHj99dfZunUrAwcO3KncP/3TP7FixQqefXbH3pOIICJ48803iQhef/31pmRw6623MnXqVPr06QPAvvvu22ocL730EoMGvfcD5PDDD286Lp/dd9+dk046ib59+7Za5t5776W+vp4JEyYwatQoNm3axOGHH970GcaPH8+Pf/xjpk6dyltvvcWoUaOYMGFCq+crlbS6+GYBY9op82REjEoeN6QQU0m1NRghy91/Vtm68rvVt29ffvnLX7J48WLmzZvHVVddRUQA8NxzzzFlyhRWrFjB3nvvzX333VfQOW+//XbOOussAMaNG8fuu+/Ofvvtx+DBg/niF7/IPvvsk/e4tWvXcsABBzRt19TUsHZt/iR83333MXLkSMaNG8eLL74IwFFHHcVDDz3E5s2beeWVV5g3b17TawDXXXcdI0eO5POf/zxbtmzJe965c+c2JajHHnuM0047LW+5XXbZhWuuuWanrrDq6mpuvfVWRowYwf7778/KlSu55JJLAPjTn/7Ek08+yfHHH88pp5zCU089lffcAJMmTeKmm27ihBNO4Mtf/jLPPfdc02uNyWPUqFGcf/75rZ6jpXHjxlFXV8edd97JkiVL2Guvvbj55puZOHEid999N6+++iqTJ0/mxhtvbGqlteze7AqpJKiIeALYmMZ7lct5Rw9i2sdGMGjvXREwaO9dmfaxEZx39CDfi2Rdpiu/WxHBl770JUaOHMnpp5/O2rVr+dvf/gbQdM0GctdlGq+xtOWb3/wmVVVVTb+8Fy5cSK9evVi3bh1r1qzh29/+Ns8//3yrsbSUb0jzOeecwwsvvMCyZcs4/fTTueiii4BcK+7ss8/mQx/6EOPHj+eEE05oatVNmzaNP/7xjzz11FNs3LiRm266aafzbt26lYaGBg466CAgl6waE20+//zP/8yCBQtYs2ZN075t27Zx66238vTTT7Nu3TpGjhzZdN1t+/btvPrqqyxYsIDp06fzyU9+Mu9nBhg1ahTPP/88V199NRs3buTYY49l1apVwHtdfEuWLOGXv/xlq/EV4owzzmDEiBFMmTJlh2t5acrSIIkTJC2V9JCkI1srJOlSSfWS6kt5Q1gptDYYoa3uP7PO6Mrv1p133sn69etZtGgRS5Ys4f3vf3/T9EvNu5R69erF9u3b2zzXHXfcwa9+9SvuvPPOpsTys5/9jDFjxlBdXc2+++7LiSeeSH19fd7ja2pqdmjxNDQ05L1W0r9//6bYJk+ezKJFi5peu+6661iyZAmPPvooEcGhhx4KwH777Yck+vTpw8UXX8zChQt3Ou+TTz7JSSed1LS9cOFCjjvuuFY/b1VVFVddddUOya7x2tDBBx+MJD75yU/y+9//vunzfexjH0MSxx13HLvssssOAyha2mOPPfjYxz7GLbfcwoUXXsiDDz7YatmOevfdd1m1ahW77rorGzeWp32RlQS1GDgwIo4CfgDMbq1gRMyMiLqIqMvX/5tFvhfJukpXfrc2bdrEvvvuS3V1NfPmzeMvf/lLh84zd+5cbrrpJubMmcNuu+3WtH/w4ME8/vjjTddlFixYwLBhw/Ke49hjj+W5555jzZo1bN26lbvvvpuxY8fuVO6ll15qej5nzhyOOOIIIDfIYsOGDQAsW7aMZcuWMXr06B2OiQhmz55NbW1t3s/Q2GJasWIFw4YNo1evXjuVa27ixIk89thjTTMrDBo0iJUrVzZtP/roo03xnXfeeTz++ONArrtv69atDBgwIO9558+fz6uvvgrkWnYrV67kwAMPbDOWQvTr14833nijafs73/kORxxxBHfddReTJk1i27ZtQK6rsvF5V8vEKL6IeL3Z8wcl3SJpQES0/hOigvheJOsqXfHd2r59O3369GHChAmcc8451NXVMWrUqFaTR3uuuOIKtmzZwhlnnAHkBkrMmDGDKVOmcPHFF1NbW0tEcPHFFzNy5Mi856iqquLmm2/mzDPP5J133mHSpEkceWSuo+X666+nrq6OsWPH8v3vf585c+ZQVVXFPvvsw6xZs4Bc99o//uM/ArDnnnvy05/+tKmLb8KECaxfv56IYNSoUcyYMWOn9//tb3/LDTfkLo03HyzRlt69e/O5z32OK6+8EoD999+fr3zlK5x88slUV1dz4IEHNsU3adIkJk2aRG1tLb179+aOO+5odVaGP//5z1x++eVEBO+++y4f/ehH+fjHP95mLEOGDGka2DF79mweeeQRhg8fzr/+679y2WWXUVdXx8SJE7nsssvYddddueOOO7jttttYuHAh/fr14+STT+Yb3/gGX/va17j00ksZOXIkxxxzTJdfh1Jr/ZwlfyNpCPCriNjp54mkfwD+FhEh6TjgXnItqjaDq6uri9a6BMwq1apVq5p+WZfD0qVLmTx5ct6urp6ooaGByZMn89BDDwG5azM/+clP2G+//cocWTbl+/5KWhQRdcWeK5UWlKS7gFOBAZIagK8A1QARMQMYB1wuaTvwFnBBe8nJzEpvxowZfP/73+e73/1uuUPJjJqamqbkBLmuOUtHai2oruAWlHVH5W5BddSUKVOYP3/+DvuuvPJKLr744oLPsWHDhrzDt3/zm9/Qv3//TsdYSR5++GGuvfbaHfYNHTq006PzulopW1BOUGYZs2rVKoYNG+YZza3iRAR//OMfS5agsjKKz8wSffv2ZcOGDa3eB2OWRY0LFrY1Y0WxMjGKz8zeU1NTQ0NDQ0kXfjNLQ+OS76XiBGWWMdXV1SVbMtuskrmLz8zMMskJyszMMskJyszMMqmih5lLWg90bIKwzhkAdItpmFLi+iqc66o4rq/ilKu+DoyIoidPregEVS6S6jsypr+ncn0VznVVHNdXcSqtvtzFZ2ZmmeQEZWZmmeQE1TEzyx1AhXF9Fc51VRzXV3Eqqr58DcrMzDLJLSgzM8skJygzM8skJ6gWJI2R9Kyk1ZKm5nm9j6SfJ6//IVkpuPG1/5Psf1bSmWnGXQ4drStJQyS9JWlJ8th5je1uqID6OlnSYknbJY1r8dpFkp5LHhelF3X5dLK+3mn2/ZqTXtTlUUBdfUHSSknLJP1G0oHNXsvudysi/EgeQC/gz8BBQG9gKTC8RZnPADOS5xcAP0+eD0/K9wGGJufpVe7PlNG6GgIsL/dnyGB9DQFGAj8BxjXbvw/wfPLf9yXP31fuz5TV+kpe+3u5P0PG6urDwG7J88ub/VvM9HfLLagdHQesjojnI2IrcDdwbosy5wJ3JM/vBU5TbmW5c4G7I2JLRKwBVifn6646U1c9Ubv1FREvRMQy4N0Wx54JPBoRGyPiVeBRYEwaQZdRZ+qrpymkruZFxOZkcwHQuCZGpr9bTlA7GgS82Gy7IdmXt0xEbAc2Af0LPLY76UxdAQyV9LSk30n6x64ONgM68/3oad8t6Pxn7iupXtICSeeVNrTMKbauLgEe6uCxqfJ6UDvK9+u+5Tj81soUcmx30pm6egkYHBEbJH0AmC3pyIh4vdRBZkhnvh897bsFnf/MgyNinaSDgMclPRMRfy5RbFlTcF1JuhCoA04p9thycAtqRw3AAc22a4B1rZWRVAXsBWws8NjupMN1lXSDbgCIiEXk+s8P6/KIy6sz34+e9t2CTn7miFiX/Pd54LfA0aUMLmMKqitJpwPXAWMjYksxx5aLE9SOngIOlTRUUm9yF/ZbjgCaAzSOdBkHPB65q41zgAuSkWtDgUOBhSnFXQ4dritJAyX1Akh+4R5K7uJsd1ZIfbXmYWC0pPdJeh8wOtnXnXW4vpJ66pM8HwCcCKzsskjLr926knQ08CNyyenlZi9l+7tV7lEaWXsAZwN/Iver/rpk3w3k/scC9AV+QW4QxELgoGbHXpcc9yxwVrk/S1brCvg4sILcaKPFwDnl/iwZqa9jyf2ifRPYAKxoduykpB5XAxeX+7Nkub6ADwHPJN+vZ4BLyv1ZMlBXjwF/A5YkjzmV8N3yVEdmZpZJ7uIzM7NMcoIyM7NMcoIyM7NMcoIyM7NMcrQoGwQAABGpSURBVIIyM7NMcoIyM7NMcoIyK5CkvSV9ptn2/pLu7aL3Ok/S9SU8339I+kipzmeWBt8HZVagZD2rX0VEbQrv9XtyN1m+UqLzHQj8OCJGl+J8ZmlwC8qscDcCByeL4E1PFl5cDiBpoqTZkh6QtEbSFckicU8nM2rvk5Q7WNJcSYskPSlpWMs3kXQYsKUxOUn6hKTlkpZKeiLZ1yuJ4alkEbpPNzv+GknPJOVvBIiIvwD9Jf1Dl9eSWYl4NnOzwk0FaiNiFDS1qJqrJTcpaV9y08ZcGxFHS/oO8C/Ad4GZwGUR8Zyk44FbgJZdbyeSmwKq0fXAmRGxVtLeyb5LgE0RcWwy79x8SY8Aw4DzgOMjYnNjYkwsTs59X4drwCxFTlBmpTMvIt4A3pC0CXgg2f8MMFLSHuTmiftFs3Ub++Q5z37A+mbb84FZku4B/ifZNzo5Z+NS53uRm3T3dOC/IlmcLiI2NjvPy8D+nfh8ZqlygjIrnS3Nnr/bbPtdcv/WdgFea2yBteEtcgkHgIi4LGltfRRYImkUuXV8PhsRO8w8LWkMra/n0zc5t1lF8DUos8K9AfTr6MGRW5BxjaRPACjnqDxFVwGHNG5IOjgi/hAR1wOvkFu/52HgcknVSZnDJO0OPAJMkrRbsr95F99hwPKOxm+WNicoswJFbpHF+cmAhekdPM0E4BJJS8ktOXJunjJPAEfrvX7A6cmgh+XJa0uB28itcbQ42f8joCoi5pJbC6he0hLgiwBJIjsEqO9g3Gap8zBzswyS9D3ggYh4rETnOx84JiL+rRTnM0uDW1Bm2fQtYLcSnq8K+HYJz2fW5dyCMjOzTHILyszMMskJyszMMskJyszMMskJyszMMskJyszMMskJyszMMskJyszMMskJyszMMskJyszMMimVBCXpdkkvN64+mud1Sfq+pNXJ6qDHpBGXmZllV1otqFnAmDZeP4vcYmuHApcCt6YQk5mZZVgqCSoingA2tlHkXOAnkbMA2FvSfmnEZmZm2ZSVFXUHAS82225I9r3UsqCkS8m1sth9990/MGzYsFQCNDOzjlm0aNErETGw2OOykqCUZ1/eadYjYiYwE6Curi7q673+mplZlkn6S0eOy8oovgZyy1g3qgHWlSkWMzPLgKwkqDnAvySj+T4IbIqInbr3zMys50ili0/SXcCpwABJDcBXgGqAiJgBPAicDawGNgMXpxGXmZllVyoJKiLGt/N6AFPSiMXMzDpu27ZtNDQ08Pbbb+/0Wt++fampqaG6urok75WVQRJmZlYBGhoa6NevH0OGDEF6b3xbRLBhwwYaGhoYOnRoSd4rK9egzMysArz99tv0799/h+QEIIn+/fvnbVl1lBOUmZkVpWVyam9/RzlBmZlZJjlBmZlZJjlBmZlZUXIDrwvf31FOUGZmVrC+ffuyYcOGnZJR4yi+vn37luy9PMzczMwKVlNTQ0NDA+vXr9/ptcb7oErFCcrMzApWXV1dsvuc2uMuPjMzyyQnKDMzyyQnKDMzyyQnKDMzyyQnKDMzyyQnKDMzyyQnKDMzyyQnKDMzy6TUEpSkMZKelbRa0tQ8rw+WNE/S05KWSTo7rdjMzCx7UklQknoBPwTOAoYD4yUNb1Hsy8A9EXE0cAFwSxqxmZlZNqXVgjoOWB0Rz0fEVuBu4NwWZQLYM3m+F7AupdjMzCyD0pqLbxDwYrPtBuD4FmW+Cjwi6bPA7sDp6YRmZmZZlFYLKt86wC0XDhkPzIqIGuBs4L8l7RSfpEsl1UuqzzebrpmZdQ9pJagG4IBm2zXs3IV3CXAPQET8L9AXGNDyRBExMyLqIqJu4MCBXRSumZmVW1oJ6ingUElDJfUmNwhiTosyfwVOA5B0BLkE5SaSmVkPlUqCiojtwBXAw8AqcqP1Vki6QdLYpNhVwGRJS4G7gIlR6vWDzcysYqS2YGFEPAg82GLf9c2erwROTCseMzPLNs8kYWZmmeQEZWZmmeQEZWZmmeQEZWZmmeQEZWZmmeQEZWZmmeQEZWZmmeQEZWZmmeQEZWZmmeQEZWZmmeQEZWZmmeQEZWZmmeQEZWZmmeQEZWZmmeQEZWZmmeQEZWZmmeQEZWZmmeQEZWZmmZRagpI0RtKzklZLmtpKmU9KWilphaSfpRWbmZllT1UabyKpF/BD4AygAXhK0pyIWNmszKHA/wFOjIhXJe2bRmxmZpZNabWgjgNWR8TzEbEVuBs4t0WZycAPI+JVgIh4OaXYzMwsg9JKUIOAF5ttNyT7mjsMOEzSfEkLJI3JdyJJl0qql1S/fv36LgrXzMzKLa0EpTz7osV2FXAocCowHrhN0t47HRQxMyLqIqJu4MCBJQ/UzMyyIa0E1QAc0Gy7BliXp8z9EbEtItYAz5JLWGZm1gOllaCeAg6VNFRSb+ACYE6LMrOBDwNIGkCuy+/5lOIzM7OMSSVBRcR24ArgYWAVcE9ErJB0g6SxSbGHgQ2SVgLzgKsjYkMa8ZmZWfYoouWloMpRV1cX9fX15Q7DzMzaIGlRRNQVe5xnkjAzs0xygjIzs0xygjIzs0xygjIzs0xygjIzs0xygjIzs0xygjIzs0xygjIzs0xygjIzs0xygjIzs0xygjIzs0xygjIzs0xygjIzs0xygjIzs0xygjIzs0xygjIzs0xygjIzs0xKLUFJGiPpWUmrJU1to9w4SSGp6NUXzcys+0glQUnqBfwQOAsYDoyXNDxPuX7A54A/pBGXmZllV1otqOOA1RHxfERsBe4Gzs1T7uvAvwNvpxSXmZllVFoJahDwYrPthmRfE0lHAwdExK/aOpGkSyXVS6pfv3596SM1M7NMSCtBKc++aHpR2gX4DnBVeyeKiJkRURcRdQMHDixhiGZmliVpJagG4IBm2zXAumbb/YBa4LeSXgA+CMzxQAkzs54rrQT1FHCopKGSegMXAHMaX4yITRExICKGRMQQYAEwNiLqU4rPzMwyJpUEFRHbgSuAh4FVwD0RsULSDZLGphGDmZlVlqq03igiHgQebLHv+lbKnppGTGZmll2eScLMzDLJCcrMzDLJCcrMzDLJCcrMzDLJCcrMzDLJCcrMzDLJCcrMzDLJCcrMzDLJCcrMzDLJCcrMzDLJCcrMzDLJCcrMzDLJCcrMzDLJCcrMzDLJCcrMzDLJCcrMzDLJCcrMzDIptQQlaYykZyWtljQ1z+tfkLRS0jJJv5F0YFqxmZlZ9qSSoCT1An4InAUMB8ZLGt6i2NNAXUSMBO4F/j2N2MzMLJvSakEdB6yOiOcjYitwN3Bu8wIRMS8iNiebC4CalGIzM7MMSitBDQJebLbdkOxrzSXAQ/lekHSppHpJ9evXry9hiGZmliVpJSjl2Rd5C0oXAnXA9HyvR8TMiKiLiLqBAweWMEQzM8uSqpTepwE4oNl2DbCuZSFJpwPXAadExJaUYjMzswxKqwX1FHCopKGSegMXAHOaF5B0NPAjYGxEvJxSXGZmllGpJKiI2A5cATwMrALuiYgVkm6QNDYpNh3YA/iFpCWS5rRyOjMz6wHS6uIjIh4EHmyx7/pmz09PKxYzM8s+zyRhZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZ5ARlZmaZlFqCkjRG0rOSVkuamuf1PpJ+nrz+B0lD0orNzMyyJ5UEJakX8EPgLGA4MF7S8BbFLgFejYhDgO8AN6URm5mZZVNaLajjgNUR8XxEbAXuBs5tUeZc4I7k+b3AaZKUUnxmZpYxVSm9zyDgxWbbDcDxrZWJiO2SNgH9gVeaF5J0KXBpsrlF0vIuibj7GECLOrQduH7a5zpqm+unfYd35KC0ElS+llB0oAwRMROYCSCpPiLqOh9e9+U6apvrp32uo7a5ftonqb4jx6XVxdcAHNBsuwZY11oZSVXAXsDGVKIzM7PMSStBPQUcKmmopN7ABcCcFmXmABclz8cBj0fETi0oMzPrGVLp4kuuKV0BPAz0Am6PiBWSbgDqI2IO8J/Af0taTa7ldEEBp57ZZUF3H66jtrl+2uc6apvrp30dqiO5kWJmZlnkmSTMzCyTnKDMzCyTKiJBeZqkthVQP1+QtFLSMkm/kXRgOeIsp/bqqFm5cZJCUo8aNlxI/Uj6ZPI9WiHpZ2nHWG4F/DsbLGmepKeTf2tnlyPOcpF0u6SXW7s3VTnfT+pvmaRj2j1pRGT6QW5QxZ+Bg4DewFJgeIsynwFmJM8vAH5e7rgzVj8fBnZLnl/ek+qn0DpKyvUDngAWAHXljjtL9QMcCjwNvC/Z3rfccWewjmYClyfPhwMvlDvulOvoZOAYYHkrr58NPETuntcPAn9o75yV0ILyNElta7d+ImJeRGxONheQuw+tJynkOwTwdeDfgbfTDC4DCqmfycAPI+JVgIh4OeUYy62QOgpgz+T5Xux8r2e3FhFP0Pa9q+cCP4mcBcDekvZr65yVkKDyTZM0qLUyEbEdaJwmqScopH6au4Tcr5iepN06knQ0cEBE/CrNwDKikO/QYcBhkuZLWiBpTGrRZUMhdfRV4EJJDcCDwGfTCa1iFPu3KrWpjjqjZNMkdVMFf3ZJFwJ1wCldGlH2tFlHknYhN4P+xLQCyphCvkNV5Lr5TiXXAn9SUm1EvNbFsWVFIXU0HpgVEd+WdAK5+zprI+Ldrg+vIhT9d7oSWlCeJqlthdQPkk4HrgPGRsSWlGLLivbqqB9QC/xW0gvk+sfn9KCBEoX+G7s/IrZFxBrgWXIJq6copI4uAe4BiIj/BfqSm0jWcgr6W9VcJSQoT5PUtnbrJ+m++hG55NTTrh1AO3UUEZsiYkBEDImIIeSu042NiA5NcFmBCvk3NpvcYBskDSDX5fd8qlGWVyF19FfgNABJR5BLUOtTjTLb5gD/kozm+yCwKSJeauuAzHfxRddNk9QtFFg/04E9gF8kY0f+GhFjyxZ0ygqsox6rwPp5GBgtaSXwDnB1RGwoX9TpKrCOrgJ+LOnz5LquJvagH8pIuotcF/CA5DrcV4BqgIiYQe663NnAamAzcHG75+xB9WdmZhWkErr4zMysB3KCMjOzTHKCMjOzTHKCMjOzTHKCMjOzTHKCMiuQpL0lfabZ9v6S7u2i9zpP0vUlPN9/SPpIqc5nlgYPMzcrULKMy68iojaF9/o9uZuFXynR+Q4EfhwRo0txPrM0uAVlVrgbgYMlLZE0XdKQxrVvJE2UNFvSA5LWSLoiWYfr6WRy1X2ScgdLmitpkaQnJQ1r+SaSDgO2NCYnSZ+QtFzSUklPJPt6JTE8layt8+lmx18j6Zmk/I0AEfEXoL+kf+jyWjIrkczPJGGWIVOB2ogYBU0tquZqgaPJTXGzGrg2Io6W9B3gX4Dvklsz6LKIeE7S8cAtQMuutxOBxc22rwfOjIi1kvZO9l1CbqqYYyX1AeZLegQYBpwHHB8RmxsTY2Jxcu77OlwDZilygjIrnXkR8QbwhqRNwAPJ/meAkZL2AD7Ee1NOAfTJc5792HEOt/nALEn3AP+T7BudnHNcsr0XuclbTwf+q3H9r4hoPmnyy8D+nfh8ZqlygjIrneazxL/bbPtdcv/WdgFea2yBteEtcgkHgIi4LGltfRRYImkUuaULPhsRDzc/MFmnqbULy32Tc5tVBF+DMivcG+SW5uiQiHgdWCPpEwDJrM5H5Sm6CjikcUPSwRHxh4i4HniF3JIFDwOXS6pOyhwmaXfgEWCSpN2S/c27+A4Dlnc0frO0OUGZFSiZvXt+MmBhegdPMwG4RNJSYAX5l55/Ajha7/UDTk8GPSxPXlsK3AasBBYn+38EVEXEXHLLGtRLWgJ8ESBJZIcAPWUJEesGPMzcLIMkfQ94ICIeK9H5zgeOiYh/K8X5zNLgFpRZNn0L2K2E56sCvl3C85l1ObegzMwsk9yCMjOzTHKCMjOzTHKCMjOzTHKCMjOzTHKCMjOzTPr/7kaK/v8eWsYAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 10.0 --> Field = 986.7932 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 40 $$$ 40 $$$ 40 $$$ 40 $$$ 40 $$$ 40 $$$ 40 $$$ 40 $$$ 40 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 153.922157779E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 103.471664472k\n",
      "TOTAL Na num = 103.471664472k\n",
      "\n",
      "init mol temp/init Na temp = 1.01132334248\n",
      "init mol temp = 1.67958333333e-06 uk\n",
      "init na temp = 1.66077777778e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.27150482577\n",
      "\n",
      "init na num = 131.364892376 at 1.66077777778 uk\n",
      "init Na density = 1.70015276716e+11 cm^-3 (7.08858701949 %)\n",
      "\n",
      "init overlap density = 1.36636566851e+11 cm^-3 (9.11066266768 %) (34.2345465027 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.803672290454\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 44.1317958935 at 1.67958333333 uk\n",
      "init molecule density = 3.95744336272e+11 cm^-3 (8.69823177828 %)\n",
      "two-body rate coefficient = 2.63363233843e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0696616903204\n",
      "loss rate coefficient = 5.03848398842e-11 (11.4687263995 %) (34.936108616 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 8.57990318821\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0550348998877\n",
      "\n",
      "loss rate from EXP fit = 7.53552083156\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.63363233843e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0712681931163\n",
      "loss rate coefficient = 5.5986794226e-11 (9.30559399372 %) (34.2869374482 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.63363233843e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0782764870383\n",
      "loss rate coefficient = 5.71051634015e-11 (9.85264483811 %) (34.4394339429 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 3.0 --> Field = 973.3532 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 41 $$$ 41 $$$ 41 $$$ 41 $$$ 41 $$$ 41 $$$ 41 $$$ 41 $$$ 41 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 158.85500295E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 107.14231109k\n",
      "TOTAL Na num = 107.14231109k\n",
      "\n",
      "init mol temp/init Na temp = 0.989645722505\n",
      "init mol temp = 1.66266666667e-06 uk\n",
      "init na temp = 1.6800625e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.41832265612\n",
      "\n",
      "init na num = 136.025048375 at 1.6800625 uk\n",
      "init Na density = 1.73024121007e+11 cm^-3 (7.45194506626 %)\n",
      "\n",
      "init overlap density = 1.40249532103e+11 cm^-3 (9.25899105277 %) (34.2743185974 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.810577919928\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 43.1006091356 at 1.66266666667 uk\n",
      "init molecule density = 3.92410902258e+11 cm^-3 (7.17098271258 %)\n",
      "two-body rate coefficient = 2.6071065451e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0599714004923\n",
      "loss rate coefficient = 1.54919042422e-10 (11.0315277312 %) (34.7950370611 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 25.1320368719\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0533646966029\n",
      "\n",
      "loss rate from EXP fit = 22.3523421555\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.6071065451e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0596400791266\n",
      "loss rate coefficient = 1.7214470161e-10 (8.3679590469 %) (34.0444230177 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.6071065451e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0661910440065\n",
      "loss rate coefficient = 1.76975963043e-10 (8.84680118998 %) (34.1652731775 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 5.8625 --> Field = 978.8492 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 42 $$$ 42 $$$ 42 $$$ 42 $$$ 42 $$$ 42 $$$ 42 $$$ 42 $$$ 42 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 152.043153392E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 96.4580159137k\n",
      "TOTAL Na num = 96.4580159137k\n",
      "\n",
      "init mol temp/init Na temp = 0.993054342976\n",
      "init mol temp = 1.70616666667e-06 uk\n",
      "init na temp = 1.7181e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.45596431944\n",
      "\n",
      "init na num = 122.460549407 at 1.7181 uk\n",
      "init Na density = 1.50625834735e+11 cm^-3 (6.6225798179 %)\n",
      "\n",
      "init overlap density = 1.21929433538e+11 cm^-3 (8.63742644176 %) (34.1116568864 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.809485529172\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 27.7862729547 at 1.70616666667 uk\n",
      "init molecule density = 2.43368048789e+11 cm^-3 (8.55214625006 %)\n",
      "two-body rate coefficient = 2.67531572796e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0835326420962\n",
      "loss rate coefficient = 7.41707776272e-10 (12.0159127199 %) (35.1195409778 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 104.54011136\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0676517345425\n",
      "\n",
      "loss rate from EXP fit = 90.8070244132\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.67531572796e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.081542903253\n",
      "loss rate coefficient = 7.83193812182e-10 (10.045817652 %) (34.4951946262 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.67531572796e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0861033033595\n",
      "loss rate coefficient = 8.2049181889e-10 (10.4193949 %) (34.6058346248 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 5.93 --> Field = 978.9788 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 43 $$$ 43 $$$ 43 $$$ 43 $$$ 43 $$$ 43 $$$ 43 $$$ 43 $$$ 43 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 104.199610673E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 72.3455545513k\n",
      "TOTAL Na num = 72.3455545513k\n",
      "\n",
      "init mol temp/init Na temp = 1.08090085077\n",
      "init mol temp = 1.729125e-06 uk\n",
      "init na temp = 1.59970731707e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.34888531362\n",
      "\n",
      "init na num = 91.8480053064 at 1.59970731707 uk\n",
      "init Na density = 1.25743299498e+11 cm^-3 (6.97378739491 %)\n",
      "\n",
      "init overlap density = 98350985838.8 cm^-3 (9.14415719988 %) (34.24347545 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.782156872225\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 27.9110055254 at 1.729125 uk\n",
      "init molecule density = 2.39608014092e+11 cm^-3 (8.40427984085 %)\n",
      "two-body rate coefficient = 2.71131501892e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0668575496814\n",
      "loss rate coefficient = 4.57008484192e-10 (11.3276180369 %) (34.8900405616 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 53.0153570762\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0547211910462\n",
      "\n",
      "loss rate from EXP fit = 45.3383227439\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.71131501892e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0631259273549\n",
      "loss rate coefficient = 5.23455081574e-10 (8.89210368334 %) (34.1770318769 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.71131501892e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.069935730814\n",
      "loss rate coefficient = 5.20260019133e-10 (9.38779768188 %) (34.3093390393 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 5.0 --> Field = 977.1932 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 44 $$$ 44 $$$ 44 $$$ 44 $$$ 44 $$$ 44 $$$ 44 $$$ 44 $$$ 44 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 148.077479307E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 95.998576157k\n",
      "TOTAL Na num = 95.998576157k\n",
      "\n",
      "init mol temp/init Na temp = 1.00199267709\n",
      "init mol temp = 1.69408333333e-06 uk\n",
      "init na temp = 1.69071428571e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.32970245797\n",
      "\n",
      "init na num = 121.877256826 at 1.69071428571 uk\n",
      "init Na density = 1.53565358248e+11 cm^-3 (6.62765872969 %)\n",
      "\n",
      "init overlap density = 1.23870824961e+11 cm^-3 (8.85206085823 %) (34.1666355007 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.806632604996\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 31.8144348105 at 1.69408333333 uk\n",
      "init molecule density = 2.81635566768e+11 cm^-3 (9.10111565134 %)\n",
      "two-body rate coefficient = 2.65636873272e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0735751345425\n",
      "loss rate coefficient = 4.59452011823e-10 (11.5105163076 %) (34.94984958 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 63.2236672846\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0591921060345\n",
      "\n",
      "loss rate from EXP fit = 57.374766629\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.65636873272e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0716648578336\n",
      "loss rate coefficient = 4.91091714189e-10 (9.32666298305 %) (34.2926616406 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.65636873272e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0771607792334\n",
      "loss rate coefficient = 5.11652407196e-10 (9.75530534814 %) (34.4117128669 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 6.5 --> Field = 980.0732 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 45 $$$ 45 $$$ 45 $$$ 45 $$$ 45 $$$ 45 $$$ 45 $$$ 45 $$$ 45 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 115.995867844E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 76.8822950529k\n",
      "TOTAL Na num = 76.8822950529k\n",
      "\n",
      "init mol temp/init Na temp = 1.11510740071\n",
      "init mol temp = 1.82458333333e-06 uk\n",
      "init na temp = 1.63624e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.85930831074\n",
      "\n",
      "init na num = 97.6077312253 at 1.63624 uk\n",
      "init Na density = 1.29178319409e+11 cm^-3 (6.93335041838 %)\n",
      "\n",
      "init overlap density = 99716447166.9 cm^-3 (9.48371777883 %) (34.3357088599 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.771928661273\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 28.7258891683 at 1.82458333333 uk\n",
      "init molecule density = 2.27506268429e+11 cm^-3 (10.5669295254 %)\n",
      "two-body rate coefficient = 2.86099628132e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0731814992872\n",
      "loss rate coefficient = 4.79099644924e-10 (11.9789908293 %) (35.1069255459 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 56.6638252268\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0593054137631\n",
      "\n",
      "loss rate from EXP fit = 48.1598180157\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.86099628132e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.070571912446\n",
      "loss rate coefficient = 5.30684253465e-10 (9.71066556788 %) (34.3990846647 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.86099628132e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.077011460138\n",
      "loss rate coefficient = 5.4331383951e-10 (10.1882642012 %) (34.5369472802 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 7.5 --> Field = 981.9932 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 46 $$$ 46 $$$ 46 $$$ 46 $$$ 46 $$$ 46 $$$ 46 $$$ 46 $$$ 46 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 116.97197275E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 83.6135171622k\n",
      "TOTAL Na num = 83.6135171622k\n",
      "\n",
      "init mol temp/init Na temp = 1.1246706713\n",
      "init mol temp = 1.77866666667e-06 uk\n",
      "init na temp = 1.5815e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.7570778997\n",
      "\n",
      "init na num = 106.153513034 at 1.5815 uk\n",
      "init Na density = 1.47844950693e+11 cm^-3 (8.17326282283 %)\n",
      "\n",
      "init overlap density = 1.13708872622e+11 cm^-3 (10.2181601374 %) (34.5457782745 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.769108935332\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 35.2207732732 at 1.77866666667 uk\n",
      "init molecule density = 2.89816080872e+11 cm^-3 (10.1587024128 %)\n",
      "two-body rate coefficient = 2.78899769941e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.09648619733\n",
      "loss rate coefficient = 1.4748124645e-10 (14.0537062494 %) (35.8679057006 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 21.2956417496\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0778961157646\n",
      "\n",
      "loss rate from EXP fit = 17.2041787095\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.78899769941e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0861877789584\n",
      "loss rate coefficient = 1.72519105363e-10 (10.9215529912 %) (34.7603268072 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.78899769941e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0965868318267\n",
      "loss rate coefficient = 1.74775659727e-10 (11.75955561 %) (35.0326583083 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 7.5 --> Field = 981.9932 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 47 $$$ 47 $$$ 47 $$$ 47 $$$ 47 $$$ 47 $$$ 47 $$$ 47 $$$ 47 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 117.48707371E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 86.4043515549k\n",
      "TOTAL Na num = 86.4043515549k\n",
      "\n",
      "init mol temp/init Na temp = 1.12471425603\n",
      "init mol temp = 1.80404166667e-06 uk\n",
      "init na temp = 1.604e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.1896514185\n",
      "\n",
      "init na num = 109.696682669 at 1.604 uk\n",
      "init Na density = 1.49576328316e+11 cm^-3 (7.29752249478 %)\n",
      "\n",
      "init overlap density = 1.15038574307e+11 cm^-3 (9.62650836256 %) (34.375422372 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.769096123709\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 32.5731672201 at 1.80404166667 uk\n",
      "init molecule density = 2.62395017898e+11 cm^-3 (8.62642449947 %)\n",
      "two-body rate coefficient = 2.82878638941e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.119927210362\n",
      "loss rate coefficient = 1.53194151383e-10 (15.3783946206 %) (36.4073484493 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 22.8914533544\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.082886322455\n",
      "\n",
      "loss rate from EXP fit = 18.0582305212\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.82878638941e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.106384112429\n",
      "loss rate coefficient = 1.87596035655e-10 (12.4679343156 %) (35.2767541888 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.82878638941e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.122073712592\n",
      "loss rate coefficient = 1.74024308371e-10 (13.8308895371 %) (35.7811892674 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 7.0 --> Field = 981.0332 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 48 $$$ 48 $$$ 48 $$$ 48 $$$ 48 $$$ 48 $$$ 48 $$$ 48 $$$ 48 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 136.024689638E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 92.8230873953k\n",
      "TOTAL Na num = 92.8230873953k\n",
      "\n",
      "init mol temp/init Na temp = 1.10213065681\n",
      "init mol temp = 1.83344444444e-06 uk\n",
      "init na temp = 1.66354545455e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.63350538101\n",
      "\n",
      "init na num = 117.845740163 at 1.66354545455 uk\n",
      "init Na density = 1.52138034211e+11 cm^-3 (7.53444037543 %)\n",
      "\n",
      "init overlap density = 1.18026023895e+11 cm^-3 (9.81557209445 %) (34.4288462708 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.775782495858\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 30.2795718583 at 1.83344444444 uk\n",
      "init molecule density = 2.38074861143e+11 cm^-3 (12.5329065077 %)\n",
      "two-body rate coefficient = 2.8748907445e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.172255195087\n",
      "loss rate coefficient = 2.76690058753e-10 (19.8258411646 %) (38.4975840526 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 44.8300887961\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.128307584545\n",
      "\n",
      "loss rate from EXP fit = 32.9919695255\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.8748907445e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.163907547818\n",
      "loss rate coefficient = 3.12505399465e-10 (17.7204207935 %) (37.4568193137 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.8748907445e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.178166701654\n",
      "loss rate coefficient = 3.16388967677e-10 (19.0470524378 %) (38.1023648422 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 8.0 --> Field = 982.9532 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 49 $$$ 49 $$$ 49 $$$ 49 $$$ 49 $$$ 49 $$$ 49 $$$ 49 $$$ 49 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 141.966768231E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 94.4368372028k\n",
      "TOTAL Na num = 94.4368372028k\n",
      "\n",
      "init mol temp/init Na temp = 1.02839289201\n",
      "init mol temp = 1.75546666667e-06 uk\n",
      "init na temp = 1.707e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.12195213394\n",
      "\n",
      "init na num = 119.894514298 at 1.707 uk\n",
      "init Na density = 1.48910372806e+11 cm^-3 (7.00184421453 %)\n",
      "\n",
      "init overlap density = 1.18875644858e+11 cm^-3 (9.13691899738 %) (34.2415433175 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.798303319087\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 35.0573324452 at 1.75546666667 uk\n",
      "init molecule density = 2.94208643645e+11 cm^-3 (9.44518793547 %)\n",
      "two-body rate coefficient = 2.75261946854e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0883150734314\n",
      "loss rate coefficient = 1.50511266052e-10 (12.7074313186 %) (35.3621098171 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 21.1556929059\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0742116437246\n",
      "\n",
      "loss rate from EXP fit = 18.3757200689\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.75261946854e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0852240966743\n",
      "loss rate coefficient = 1.64727568117e-10 (10.4875856187 %) (34.6264270769 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.75261946854e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0927848563333\n",
      "loss rate coefficient = 1.70702875782e-10 (11.1107282038 %) (34.8202280466 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 9.0 --> Field = 984.8732 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 50 $$$ 50 $$$ 50 $$$ 50 $$$ 50 $$$ 50 $$$ 50 $$$ 50 $$$ 50 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 122.76321327E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 90.3533414665k\n",
      "TOTAL Na num = 90.3533414665k\n",
      "\n",
      "init mol temp/init Na temp = 1.02764506132\n",
      "init mol temp = 1.67394444444e-06 uk\n",
      "init na temp = 1.62891304348e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.47050135778\n",
      "\n",
      "init na num = 114.710215962 at 1.62891304348 uk\n",
      "init Na density = 1.52837936639e+11 cm^-3 (7.30844535946 %)\n",
      "\n",
      "init overlap density = 1.22046790923e+11 cm^-3 (9.32016876224 %) (34.2908959603 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.798537284701\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 40.0941328782 at 1.67394444444 uk\n",
      "init molecule density = 3.61355531147e+11 cm^-3 (7.64926500195 %)\n",
      "two-body rate coefficient = 2.62479040732e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0548149484583\n",
      "loss rate coefficient = 7.02785009988e-11 (10.8126005892 %) (34.7262484513 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 10.8599573585\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0398625197843\n",
      "\n",
      "loss rate from EXP fit = 9.12467762668\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.62479040732e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0510913081245\n",
      "loss rate coefficient = 8.27212294118e-11 (7.88403062431 %) (33.9287184975 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.62479040732e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0576264439296\n",
      "loss rate coefficient = 8.19576802561e-11 (8.32242702738 %) (34.0332600793 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.567\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 2.0 --> Field = 971.4332 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 51 $$$ 51 $$$ 51 $$$ 51 $$$ 51 $$$ 51 $$$ 51 $$$ 51 $$$ 51 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 116.11175688E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 78.6090798132k\n",
      "TOTAL Na num = 78.6090798132k\n",
      "\n",
      "init mol temp/init Na temp = 1.12806040729\n",
      "init mol temp = 1.74e-06 uk\n",
      "init na temp = 1.54247058824e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 3.03593114821\n",
      "\n",
      "init na num = 104.728407182 at 1.54247058824 uk\n",
      "init Na density = 1.51431101291e+11 cm^-3 (7.01467346318 %)\n",
      "\n",
      "init overlap density = 1.16316287082e+11 cm^-3 (9.28703927369 %) (34.2819062841 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.768113591535\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 47.8781066438 at 1.74 uk\n",
      "init molecule density = 4.07172592505e+11 cm^-3 (6.71077655042 %)\n",
      "two-body rate coefficient = 2.72836731464e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0922497577994\n",
      "loss rate coefficient = 6.76685199229e-11 (13.0900449431 %) (35.5013982346 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 12.8275237035\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.066601090427\n",
      "\n",
      "loss rate from EXP fit = 8.47538695775\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.72836731464e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0803532949992\n",
      "loss rate coefficient = 8.01670689411e-11 (10.2323999259 %) (34.5499928834 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.72836731464e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0931363371647\n",
      "loss rate coefficient = 8.42199997178e-11 (11.2640694723 %) (34.8694602923 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 4.0 --> Field = 975.2732 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 52 $$$ 52 $$$ 52 $$$ 52 $$$ 52 $$$ 52 $$$ 52 $$$ 52 $$$ 52 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 108.529015074E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 76.8061484792k\n",
      "TOTAL Na num = 76.8061484792k\n",
      "\n",
      "init mol temp/init Na temp = 1.05173070095\n",
      "init mol temp = 1.68038888889e-06 uk\n",
      "init na temp = 1.59773684211e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.88691938267\n",
      "\n",
      "init na num = 102.326418413 at 1.59773684211 uk\n",
      "init Na density = 1.403478677e+11 cm^-3 (8.13490149098 %)\n",
      "\n",
      "init overlap density = 1.11023428027e+11 cm^-3 (9.97352123696 %) (34.4742095756 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.791058887077\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 41.4192125166 at 1.68038888889 uk\n",
      "init molecule density = 3.71152660183e+11 cm^-3 (6.9633704341 %)\n",
      "two-body rate coefficient = 2.63489547145e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.110133751961\n",
      "loss rate coefficient = 1.73446217085e-10 (14.8581815534 %) (36.1906833187 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 27.0601388386\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0777728509235\n",
      "\n",
      "loss rate from EXP fit = 19.8132790149\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.63489547145e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0856171897542\n",
      "loss rate coefficient = 2.03465068779e-10 (10.4822888169 %) (34.6248231597 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.63489547145e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.100866948655\n",
      "loss rate coefficient = 2.14004137881e-10 (11.760814612 %) (35.0330809427 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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6xKmfRWfnsBGUUmohsBHoo5TKUUrdiSUxjVdKZQHjrY8BlgEHgP3AXOBeR8XVGl3CEnhn2gZm+Pflo/pjTFt4CQf2f2173sPNlclJEbwzfTCbHr8Mf8+m835EgGdbhSzEeZF6UM3XgwL44x//yF//+tfT2jdv3szw4cNJTU1l+PDh7Nt3+lGTKVOmUFlZydChQ/noo4945plneOWVV1i8ePFpn0Wn15oaHc5ya496UGs2v6FHvpuoB7+boD9Zdp82G42nbfPZthwd/+TXutujXza6JTz1tX56yU6ddrjYVjtHiFNJPSjnrgfVrVs3fezYMR0fH6+zsrL0okWL9PTp07XWWpeWlur6+nqttdarVq3S11xzTZPx+vj42O7/+c9/1rNnz27ys+iI7FkPSlaSOEdjBt/PJz0m8KevbuPPBev47r8jeGryfwgK/2Wof3K23slZfBEBnlzZP5K80moW/nSEBRsP0SPMh2uspeajg9q3lLPMOBSnev311/nss88AbPWgQkJCTqsHtWrVKsBSD+rGG2/k6NGj1NXV2Wo4NTRz5kz+9re/MXXqVObNm8fcuXPPGIMj60Fdf/31tu2aqgcF2OpBhYSEnNa3q6srs2bN4sUXX2Ty5Mm29tLSUqZPn05WVhZKKduIUbSOJKhWCA/pzdu3fM/8lffz5rENbPvyBp656EbGjH4KrMsjTbUmn1OVVtfz9c6jfJqWyysrM3llZSZDugdzdWoUlydFNDll3ZFOzjg8Oanj5IzDk+9BdD4N60F5e3szZsyYFtWDeuihh5gyZQpr167lmWeeOa3fC6Ue1Em33norL774YqPzUE899RRjx47ls88+Izs7mzFjxrQueAE4zzTzDsfFxZU7Jv2LhWNeJ8TFnQeyF/H0fy+h7HjWGfcL8DLw6yGxfPybi9nwyFj+OKE3xytqefzTnQx+4Rt++9+trMg4Rq3RdMZ+7GX2in0y41A0IvWgWsZgMPCHP/yB1157zdbW8HOYP3/+OffZmWs/NaVFCUopFaSU6q+UGnDy5ujAOoo+cZfy4bSN3BWUwlJTEVcvncqatU9DC8qYxAR7c/+lvVj90CV8ft8Ibh4Sy+aDRfzm/a0MeWE1j3+6k80HizA3MyvQHpqbWSgzDjsvqQfVcnfeeWejUdYjjzzC448/zogRIzCZzv2fzOY+i87qrPWglFJ/AWYAP/PLxbNaa32pY0M7O2erB5Xx8wqe3vA4maqeSXjz6Pi3CI0ceE591JvMfLf/OEvSclmZkU91vYmoQC+mpEQyNSWKPl3tu8TSiJe+JbeJZBQV6MX3j7X7t7hTknpQoiNr63pQNwAXaa3rzrXzzibxool8GDuGd1c9wL8LfuD7Fbfx+9BhXDfpTVwMXi3qw+Dqwtg+4YztE05lrZFVu/P5LC2Xt9cf4F9rfya+qx9XpUTxq+QIu0yumDWxD7MWbae+wSjN4KKYNbF15amFaI7UgxLnqiUJahcQyC+rPogzMBg8+M3lbzMhdzMvfPt7/lK0mc/fG8qTAx+mb8r0c+rLx8PNNtnieEUtX+04ypL0XF5evpeXl+9lcFwQU1KiuCIpgmAf99YHfep5aCmDJRxA6kGJc9WSQ3yDsKz4sAuoPdmutZ7i2NDOztkO8Z1Ka82XG//GK/v+S4nSXOcawgPjXyewa/J59Xv4RBVLt+fyeXoeWQUVuLooRvUKZUpyJBMSu+Lr0fLJmXKIz/lcyIf4xIWvrQ/xLQBeBnYCUhCphX65tqgfMYF/YUL0Aj4xZrF82c3cHzKQ6yb8A4NXUKv6jg2xTK64b2xP9h4rZ+n2PJam5/HQx9vxcNvJpfHhTEmOZGx8OJ6GMy/xIpMkhBDOqiUJ6rjW+nWHR3IBWZKWy6zF26k3WUanh0sMHC2/iyfGGdmQ+zJ/LUlj4f9G8nCPaxg96mmUW+uufVJK0TfCn74R/sya0Ie0I8UsTc/jq51H+XrXMXw93JiQ0IVfJUcyomco7m6nT9qMDPRqcgQVGdiyc2ZCCOEoLTnE939YDu0tpfEhvjYryd4cZz3El/rcSoqrTr+CPMjbwLanxrM2/T/83/Z/kq2MDDW68Ifke0kceLftIt/zZTSZ2XSgiC+25/H1rqOU1RgJ8DIwKbErv0qOZFiPYNxcLcnq1At1AbwMrrx4TZJcqNtO5BCf6MjseYivJddBpQLDgL8Cf7feXjnXF+pMmkpOJ9uVUoxNncmnt/7IY7FXkuli5tcZb/Lw/CFk7/7ULq/v5urCyF6hvHxdf7Y8OZ53ZwxibJ8wvtyRxy3/+ZFhL67mySU72fjzCX6VHMmL1yQRFeiFwnLuSZKT8PX1tVtfs2bNIj4+3rZQa0lJCQB1dXXcfvvtJCUlkZyczNq1a8/Yz9atW0lKSqJnz5787ne/o6l/rteuXUtAQAApKSmkpKTw3HPP2Z4rKSnhuuuuIz4+nr59+7Jx40bAsiTSye3j4uJISUlpNoZJkyaRm2up67Zw4UJeeOGF015fKcUXX3xha7vyyitt72316tUMGDCAlJQURo4cyf79+23bffzxxyQkJJCYmMjNN9/cbAxms5nf/e539OvXj6SkJAYPHmy7mDkuLo6kpCTb+/nhhx9s+5WVlREVFdVs+ZOWlvpoapFch2nNAn7OcmuPxWJb4tRFYhveTlVeVazf/OouPXheok6el6ifmn+xztn3lUPiqq4z6q935ul7P9hqW8x20POr9NNLdurNB09ok0kWsHUG57pY7GfbcvTwF1fruEe/1MNfXK0/25Zz3jE0XMz0fK1YscK2gOojjzxiW5z1zTff1DNmzNBaa52fn68HDBigTSZTs/0MHjxY//DDD9psNutJkybpZcuWnbbNqYvGNnTbbbfpuXPnaq21rq2t1cXFxadt89BDD+lnn322yf2rqqr04MGDG/W3ZcuW014/OjpaDx061NZ2xRVX6DVr1mitte7Vq5ft+/vPf/7TtshsZmamTklJ0UVFRVpry+fRnP/973/62muvtX1WR44cse3XrVs3XVhY2OR+v/vd7/RNN91kW7z3VC1dqPZsPxv2XCz2rCMopdTTTd3aIHd2WIHNrKfXVLuvVyD3Xf42y65Zzq+DkvhKl3HlD4/wl/dGcnT/CrvG5WlwZVK/CP558wC2PjWON29OZWBsEB/+dITr52zk4pdW8+wXGWzJduzqFcJ+HFm9uaKigssuu4wBAwaQlJTE559byrdlZ2fTt29f7rrrLhITE5kwYcIZVz2YMGECbm6W093Dhg0jJycHgN27d9tKaISHhxMYGEhzh+yPHj1KWVkZF198MUopbrvtNpYsWdLi91JWVsb69eu58847AXB3dycwMLDRNlprPv7440arXDS0du1a29p6WmvS09MZMOD0RXWSk5MJCAiwLaTbkFKKsrIywLIs0sm6T3PnzuW+++4jKMgycSo8PLzZ93L06FEiIiJwcbH8+Y6Ojrbt15ytW7eSn5/PhAkTmnz+1FIfpaWl9OnTx1Yu5KabbmLu3Lk89thjVFdXk5KSwrRp0874mvbQkkN8lQ1uJmAyEOfAmDq8Z6YkYnBpfD7J4KJ4Zkrzxc1C/aN57KqFfDX1C64N6Mun5hIu/+5hnlkwnCN7Wv6L2FLe7m5c2T+SObcOZOtT4/nHr1PoHx3IBz8e5ro5Gxn+0reSrDoAR66l6OnpyWeffca2bdtYs2YNDz/8sO2wWlZWFvfddx8ZGRkEBgbyySeftKjPd99917b6d3JyMp9//jlGo5GDBw+ydetWjhw50uR+ubm5REdH2x5HR0fbDrWdauPGjSQnJzN58mQyMjIAOHDgAGFhYdx+++2kpqYyc+ZMKisrG+23YcMGunTpQq9evZrs9+uvv2bSpEmApUBicnJys4vZPvnkkzz//POntb/zzjtcfvnlREdH8/777/PYY48BkJmZSWZmJiNGjGDYsGEsX768yX4BbrjhBr744gtSUlJ4+OGHSUtLa/T82LFjSUlJYejQoYDlkODDDz/M7Nmzm+3zuuuuY9CgQXzwwQekp6cTEBDAm2++yYwZM/jwww8pLi7mrrvu4qWXXsLLy4v09HQ++OCDZvuzl7MmKK313xvcXgDGAHKC4gympkYx+/rkRud1Zl+f3KLzOl0Du/Pk1YtYNmUJ1wUm8oUu41c/Psnj84aQmTYPzPaf6e/r4cZVKVHMvW0QW58cx2s3ppAUHWBLVhe/tJpnlmbw44ETzVYLFu3DkZcJaK3505/+RP/+/Rk3bhy5ubm2QoTdu3e3nasZOHAg2dnZZ+3vhRdewM3Nzfaf9x133EF0dDSDBg3i97//PcOHD7eNtJqK5VRNJYcBAwZw6NAhtm/fzgMPPMDUqVMBMBqNbNu2jd/+9rekpaXh4+PDSy+91GjfhQsXNjt6Avj+++8ZOXIkYCmk2LDMxqlGjRoFYFug9qRXX32VZcuWkZOTw+23385DDz1kiy8rK4u1a9eycOFCZs6caTtXd6ro6Gj27dvHiy++iIuLC5dddhmrV6+2Pb9mzRrS09P58ccfAXjrrbe4/PLLiYmJaTbepowfP56kpCTuu+++VlU5tofWlNvwBnrYO5ALTXPlNloqIrgnT0z9iLtKD7Ng3RMsKkrjyx3/x8VbXsWzZDjLT0wiLNDf7rWb/DwNttjLa+r5dm8BX+04yv82H2b+D9mE+XkwKbErk5O6MiTul9mAon048jKBDz74gMLCQrZu3YrBYCAuLs5WdqNhWQpXV9ezLmy6YMECvvzyS1avXm1LLG5ubrz66qu2bYYPH97s6CU6Otp2aBAs9aeaKovu7+9vu3/55Zdz7733cvz4caKjo4mOjraNKq677rpGCcpoNPLpp5+ydevWJl//wIEDxMTE4O5uWbFl5cqVZx01PvHEE7akDFBYWMj27dttMdx44422EVl0dDTDhg3DYDDQvXt3+vTpQ1ZWFoMHD26ybw8PDyZPnszkyZPp0qULS5Ysabbi8MaNG9mwYQNvvfUWFRUV1NXV4evre1qCPpXZbGbPnj14eXlRVFTUaATbVlpyDmqnUmqH9ZYB7AP+cbb9hH2EB8Qya8r7rLphLVd7DiHDVbMm/HuSevyJ/rzBS5+ut8v5hqb4eRq4KiWKt28bxLanxvPGTakM6hbEoq1HuHnujwz562oe/3QH6zILqTfJNdztYdbEPnidcjG2l8HVLmsplpaWEh4ejsFgYM2aNRw6dKhV/SxfvpyXX36ZpUuX4u39y/qRVVVVtsNsq1atws3NjYSEhCb7iIiIwM/Pj02bNqG15r333uOqq646bbtjx47ZRlubN2/GbDYTEhJC165diYmJsZ1TWb16daPX+uabb4iPj2/2j3DDw3ulpaUYjcYmCxk2NGHCBIqLi9m+fTsAQUFBlJaWkpmZaXvPJ6djT506lTVr1gBw/PhxMjMz6dGj6XHAtm3bbLPtzGYzO3bsoFu3bs3G8cEHH3D48GGys7N55ZVXuO2225pMTqeW+nj11Vfp27cvCxcu5I477rAVXzQYDG1WiLElI6grG9w3Avla6+areAmHCPAOZfXBaeSWXknfwC8pDd5CZsR+wo1/YcP6cEaHvEBw7AiHvb6vhxu/So7kV8mRVNUZWbuvkK93HWNpeh4LNx/B39ONcQldmNwvglG9Qs+6goWwj1OrN9ujIrLRaMTDw4Np06bxq1/9ikGDBpGSkkJ8fHyr+rv//vupra1l/PjxgGWixJw5cygoKGDixIm4uLgQFRV11hXO//WvfzFjxgyqq6ttoweAOXPmAHDPPfewePFi/vWvf+Hm5oaXlxcffvihbcT2xhtvMG3aNOrq6ujRowfz5s2z9f3hhx+e8fDe8uXLbWsJrlq1inHjxrXovT/xxBO2ROrm5sbcuXO59tprcXFxISgoiHfffReAiRMnsnLlShISEnB1dWX27NnNJsCCggLuuusuamstl6UOGTKk2anjZzNz5kzuueceBg0aZCv14eXlxYIFC3jnnXfYvHkzfn5+jB49mueff55nn32Wu+++m/79+zNgwACHn4c664W6AEopV6ALDRKa1vqwA+NqEWe9UNdRuj/2Fb98t8zE+P5AYMhqsr2rcTdrJuHDTX1vJnHgb1AGzzaJqaaX0EhBAAAgAElEQVTexHdZx1m26yjf7M6nrMaIj7srY+LDmZTYlbHx4ee0NqBo/wt1t2/fzl133cXmzZvbLQZnUltby4gRI2wzDGfOnMnMmTNbVCerM7LnhbotWUniAeDPQD6/rMWntdb9z/XF7K2zJajmFna9KOQoY3utYmnJbqoV9K03c0PoQC4f/ije4c3PHLS3epOZjT+fYHnGMVZmHON4RR3ubi6M6hnKxH5dGde3y/mtut5JtGeCmjNnDq+//jqvvfZas1OShTiTtk5Q+4GhWusT59q5o3W2BHW2ZYkqasr46qdX+ejgl2TpGrzNZia7+HNt7xvpN/A3KPe2W1/PZNZsyS5iRUY+KzKOkVtSjYuCId2DmZjYlQmJXYmS9f6a1N4jqNa67777+P777xu1Pfjgg43Ku7fE0KFDbYevTnr//fdJSko67xg7kp07d3Lrrbc2avPw8LDNznNWbZ2g1gDjnfG8U2dLUNBwlfTmzzdordme/Q2Lt/2TleU/U62gZ72JqQHxXDHgPkJ7XGq3df9aQmvNrtwyVmQcY0XGMbIKKgDoF+XPxISuTOzXlV7hvs1eU9LZdNQEJQS0fYL6D9AH+IrGi8X+37m+mL11xgR1rsprSvl66xssOfAlO82VuGrNSKMrV0aOZMyQ3+EZ2vaVcw8UVrBydz4rM46x7bDlWo+4EG8mJHZlQkIXUmODcHXpvMlqz549xMfHS8IWHY7Wmr1797ZpgvpzM4E8e64vZm+dMUG1ZATVnAMF2/n8p9f5snALBcqMj9nMOHy4vNtEhgy6Dzf/rg6O/nQFZTWs3J3Pqt35/PDzcepNmlBfdy6ND2d8QtdOOSPw4MGD+Pn5ERISIklKdBhaa06cOEF5eTndu3dv9JzDEpQjKKX+AMwENJZCiLcDEcCHQDCwDbhVa113pn46W4KyV2kMk9nET/u/5Kud81lVvp9KBcEmExNcg5jU4wpSB9yNi0+oI97CGZXX1LNmXyGrduezdm8B5bVGPA0ujOoVxviELlwWH06Ir8fZO+rg6uvrycnJsV0UK0RH4enpSXR0NAZD43VHO0yCUkpFAd8BCVrraqXUx8Ay4HLgU631h0qpOcB2rfW/ztRXZ0tQjijPXlNfzXe7P+TrfR+zriqHWgVhRhOXuQUxofskBqTehatf24+s6oxmfjx4glXW0dXR0hqUgoGxQYxL6ML4hC5cFGa/khBCCMfpaAlqE5AMlAFLgDeAD4CuWmujUupi4Bmt9cQz9dXZElTj66B+oYCDL11x3v1X1lWwftf7rMz6nA3VudQqCDKZGKP8uCxqNMNSZ+IR1vbnrLTWZOSVsWp3Pt/syScjz7IadPdQH8b1Deeyvl0Y1C1Ill0Swkl1mAQFoJR6EHgBqAZWAg8Cm7TWPa3PxwBfa637NbHv3cDdALGxsQNbu/xKR+SIEVRzquoq2bD7f6zO+pwNlYeoUOBlNjPcbGBMaCqjEm8mpMel4NL254dyS6r5xpqsNh04Qb1JE+BlYGyfMC7r24VL+oTh79l0yRMhRNtz5CQJT+BOIBGwLU+gtb7jXF/M2l8Q8AlwI1ACLLI+/vMpCWqZ1vqMFz50thFUe5VnrzPVsTlrKWv3LmZNyV4KlAmlNf3qzYzy7cboHpPpm3gTLr5hDouhORW1RtZnFvLNnnzW7iukqLIONxfFkO7BXBpvGV11D/Vp87iEEL9wZIJaBOwFbgaeA6YBe7TWD7Yy0OuBSVrrO62PbwMuBq5HDvGd1fnM4rMHrTV7jv7I+oz/seHYT+w0laOVIthkYgTejAgfwLD46wjpPhZcHTOKae4zMJk1aYeLWb23gNV78snMt1xv1SPUh0vjw7m0bziD44IxyKFAIdqUIxNUmtY6VSm1Q2vdXyllAFZorVt1TEkpNRR4FxiM5RDffGALMBr4pMEkiR1a67fO1FdnTFDO5kRlIT/s/pDvD63kh4pDFCvLz1N8nZGLPbsyLGo4qX1vwKtrf7tcHHwuo8gjRVWs3pPPt/sK2fTzCepMZvw83BjdO4yx8eGM6RNGaCeYFShEe3NkgtqstR6ilFoP3AscAzZrrVtdE0op9SyWQ3xGIA3LlPMofplmngbcorWubbYTJEE5G5PZxJ68TWzcu5iN+VtIqy/BqMCgNcn1miG+MQyOGkn/+OtwD+vTqoTV2vNwlbVGvtt/nDV7C/h2bwEF5bUoBf2jAxnbJ4xL48PpFxmASye+QFgIR3FkgpqJ5RxRf2Ae4As8rbWe05pA7UkSlHOrqq9i24Gv+XH/l/xYtJu9pkq0UniYzSQbYZBvDAMjLyap99QWj7DsMZPRbNbsPlrGt9ZktT2nBK0h1NeDMX3CGNsnnFG9Q2WihRB20qFm8dmLJKiOpbSmlK37v+CngyvYUryPfeYqtFK4aU1CvZkBnl1ICU8m5aLLCek2GpooGeKImYwnKmpZn1XIt3sLWZ9ZSGl1Pa4uioHdgmwJK76rn6zqIEQrOXIE5QFcC8TRuB7Uc+f6YvYmCapjK6stJf3n5Ww5uJL04r3sMpZRb80BsfVGUlx9SQ7oRVL0cHr1vAK3oDiWpOc5dCaj0WQm/UgJa/cVsmZfge2aq67+nlzSO4wxfcIY0UtGV0KcC0cmqOVAKbAVsP1V0Fr//VxfzN4kQV1Yak217D7yA+kHvia9MJ306nyKlKUEmZfZTF8jJHmGEeTSnZ+OdGNTSR98Ars4dCZjflkN6/YVsjazgA1ZxymvMVpGV7FBXNInjEt6h5EQ4S/nroQ4A0cmqF1NXTDrDCRBXdi01uSWHWLH/mXszN3IjtL97DVVUGfNBYEmEwlmVxK9upAQkkDf6JFExl2K8nXMOoL1JjNph0tYl1nA2n2FttFVqK8Ho3uHcknvMEb1CpOijEKcwpEJ6m3gDa31ztYG5yiSoDqfelM9mfnbyDi4it35aWRUHGG/uRqjNWn5m0z0NbkQ7xlKn6BexEcMIa7bGAzBF4GLfa9/KiivYUPmcdZlFrIhq5DiqnqUgqSoAC7pHcbo3mGkxgTKEkyi03NkgtoN9AQOYqkHpZCS78KJ1JpqyTq2ld3Za9hdkM7eiiNkmSptIy2D1lxUb6K3mx+9faPpFZJAr+gRhEYPQ3kH2SUGk1mzK7eUdZmFrMssJO1wMWYNfh5uDO8ZwqhelsOBMcHednk9IToSRyaobk21a63bfRE8SVCiOUazkewTe9mTvYasgjQySw+yr66I49ZzWmA5RNjT7MJFhkB6+sVyUWgiF0UNIzhqEHgGnNfrl1bX88P+46zPKmR95nHbzMPuoT6M6hXKqF5hDOsRjJ9MthCdgEwzF53G+Sz3VFR9gqzcjWTlbmL/iT3srzrKfmM5lQ3mOASZTHQ3KXq4+9PDJ4q4oN5075pKRNQQXANiz/kCY601B45XsiGzkPVZx9n48wmq6024uShSYwMZ2TOMUb1D6R8VIIcDxQVJEpToFByxYK7WmvyKPA7kbmL/sS0cKMrkQNUxDhjLKVW//H64mzWxJhNxypM4z1C6+ccSG9SH2IhUQrqkonxCWpS8ao0mth0qYUNWId/tP87O3FK0Bj9PN4ZfFMLIXmGM6hlKtxBvufZKXBAkQYlOoS1LjoBlxJV9LI2DR7dw8MQeDlXkkl1XTI6us03MAPAxm4k1amJcPYn1CCHGN4qYoJ5EhyURHpGCq390s6VJiivr+P7n43yXdZwNWb8cDowK9GJUr1BG9Axl+EUhnaKasLgwSYISnYKjiza2VL25nrySQxw6toXDBTs5VPIzR6ryyakvJVfXN0pebloTZTQRhYEogx9RXmFE+ccQFdSTyLAkgkMTUH5dQCm01mSfqOK7/cf5LquQH34+QXmNEYCECH9GWhPW4LggvN3dmolOCOciCUp0Cm09gmoNo9nIsfJcjuSncaRgFzklP5NbdZTc2mJyTNWNDhsCeJrNRJjMRCoDEW5+RHgGE+EbRVf/boQH9aLUFMsPhd6sO1DB1kPF1JnMGFwVqbFBjLgolBE9Q0iOCZQyIsJptTZByb9gokOZNbFPk+egZk1s+1L0zXFzcSM6oBvRAd3IrxzMJ981ntAxLjGAvOL95BZsJ68oi7zSQxytyievrpQ95nKKasqgJhuOf2/rM8RooqsLTO7hSaDyxs3kS0WVP+mb/NmwIZxqYoiNjWdg725cfFEIfbvK6hai45MRlOhw2rtoY0stSctl1qLt1Jt/+R0zuChmX598xnirjdXklx3haOEujhVlcqz0MMcqj5JfW8Sx+goKdB3lTeQeP5OZMJMZP6MLviZ3Alz9CPMKoXtQFHFhcYQHdic0uDdegbHg4W+X+lxCtIQc4hPCyaQ8u5KS6vrT2gO9DKT/ecJ59V1ZX0l+6SEKTuyloPgABWVHyK86xtGqExyrLeOErqHYxYypiSTkazYTYjITihshLh6EGHwI8QggxDOUEJ8uBPtGEOLfjeDA7ngHRINnYKtX4ego/0wIx5JDfEI4maaS05naz4WPwYceoQn0CE1odhuT2cSuo7ms37uTvUd2k3fiIGZdiKtbGW7u1VS411JAHSWmIsqri6D6IBQ37sPLbCbYbCZIuxDk4k6QqyfBBl+C3AMI8gwm2DuMQJ+uBPlFEugfi59/jGW6vavhtEsCckuqefxTy4ppkqRES0iCEuIC5eriSnJULMlRscAVaK3ZX1DBxgMn2PjzCTYdOEFxlSVZRge7MaCbC4nhFUT6lGA0HqO4soAT1YUU1RRTXF/OcVM1meYqiusqqKs/BpXAiVNeU2sCzGYCzeBlUgyNcMXdZMDV5A4mL7TJmzXfBhBZlUyATzgBvhH4+0bi5RuB8goEV/mTJH4hPw1COEiQt8GWAE5tbw9KKXp18aNXFz9uuzgOs1mzL7+cTdaEtW5vEUvT3IFwYoPjGNYjmKHdQ7j5ohCiAr1s/WitqTZWU1SZT3FJNiUVuZRUHKWoMp/SmiKKa0oorS9nf3ExxW5Gqj3qqHCppd6lwtbHt/t3NIrNTWv8zWb8zeCvXPBTBvxd3PF39cLf4I2/ux9+7v74eQTi5xWMn2cwvt5h+Pl0wc+3K+7eIeDh1+y1ZqJjknNQQjjIkrRcZi3eTr2pwSQJV8Xs6848SaK9mM2avcesCevACTYfLKLUejgyOsiLod1DGNYjmGE9QogO8jrrKheNLwnQoOpxda2ke0A5L06JoLTiGCVV+ZRVF1FWW0JpXRll9ZWUGasoM9dSZq6nAhPl6CbPpTXkbtb4ajN+GnxxwRdXfF0M+Lp64OvqiY+bF74GH3wMvvi6++PrEYC3ZwA+nkH4eAbj7R2Cr084Hp7BKE9/cJU1Eu1JJkkI4YQ68iSBhgnrx4OWhHVyRBgZ4MmQ7sEM7RHCkO7B9Aj1OS1h2WtZKq01VcYqyquLKa88Rll5HhXVxymrPkFFdTHltSVU1JVRXl9BRX0VFaYaKky1VOh6KrWJCsxUoNEtmLXoqjXeZo231vig8MEFb+WKt3LD28WAt4s73m6eeLt64m3wxtvNBy93H7wNPni5++HtEYCXuz9engF4eQZZbt7BuLr7gsG7047wJEEJIRzKbNZkFVTw48ET/HiwiB8PFHG8ohaAUF93hnQPZkhcMEO6hxDf1Q8XF+U0CdqszdQYa6ioKaGiqoDKqkIqq4uorCm23GrLqKwrp7KunCpjFZX1VVSZaqgy1VFlrqNSG6nURqrRlts5ztA3aI2X2YyXBi+U9eaCp3LF08UNT2XAy8WAp6u79eaBp6snnm5eeLh54WXwxsPNGw93b7zc/fAw+ODp7oeHuy8eHv54uvvj4eGHm7svyuBtGQE60WUEkqCEEG3q5CrtPx0sYvPBIn48WGQ7pOfv6caguGAGxwUzpHswSVEBuLtdOCtdmMwmakw1VNeWU1lVSHVNCdU1JVTVFFNdV0Z1bTnV9RVU11VQVV9JtbGaamM1NaZaakx1VJtrqTEbqTYbqdZGqjFRqzU1aKqVxtjK5OKiNR5a46k17ho8ULabu7IkRHfliodyxUO54e5iwMPFgLuLG+6u7ni4uuPu6kFkQHfGj3nObp+XJCghRLvLKa7ip2zL6GpzdhEHCisB8HBzISUmkCHdLUlrQLcgfD1kjlZzjGYjtaZaqmsrqK0tpaa2hJraUmpqK6itL6emroLaukpqjFXU1ldRa6ym1lhDjbGGWlOt5Wauo9ZUR502UmM2Umc2UqtN1GkTtZip1Wbq0NQCtUpT1yApDtYevDvDfn9bJUEJIZzO8YpatmRbRlc/ZRexO68MswYXBQmR/gy2jrIGxQUR7ufZ3uF2alprPtl2iP9blUF+WSVd/UPtdki2QyUopVQg8A7QD9DAHcA+4CMgDsgGbtBaFzfTBSAJSoiOpqLWyLZDxWzJtoyw0o+UUFNvqXIcF+LNwG7BDI4LYlBcEBeF+Uo9rDbkiFprJ3W0BLUA2KC1fkcp5Q54A38CirTWLymlHgOCtNaPnqkfSVBCOLezTZKoM5rJyCtlS3Yxm7OL2HqomKLKOsByvdiA2CAGxgUxqFsw/aMD8DR0zllwbcGRlQI6zFJHSil/YDQwA0BrXQfUKaWuAsZYN1sArAXOmKCEEM6rJUsdubu5kBobRGpsEHeN7oHWmoPHK9mSXcyWQ0VsOVTM6r0FgOUasn5RAQyMtYywBnSTw4L2lNdEcjpTe1toj7OUPYBCYJ5SKhnYCjwIdNFaHwXQWh9VSoW3Q2xCCDuZvWJfo8NFANX1Jmav2NfsISOlFD3CfOkR5ssNg2MAKKqsY+shS8LadqiY9zYd4p3vDgIQG+zNwG5BDIgNZEC3IPp08cNN6mK1SoCXocl1IgO82u+i5fZIUG7AAOABrfWPSql/AI+1dGel1N3A3QCxsbGOiVAIcd7s9R95sI874xO6MD6hCwC1RhMZeWXWc1nFfLf/OJ+l5QLg7e5KSkwgA2KDGNAtkNSYIIJ83M/vjXQSzZ3ua8/TgO2RoHKAHK31j9bHi7EkqHylVIR19BQBFDS1s9b6beBtsJyDaouAhRDnLrCZtQgDz3MtQg83V0sCig1i5ijL7LOc4mq2HS5m66Fith0u5l/rfsZkrcPVI8yH1BhLwhoQG0TvLn64SjHH05Q08b06U3tbaPMEpbU+ppQ6opTqo7XeB1wG7LbepgMvWb9+3taxCSHsp7n5V/ael6WUIibYm5hgb65KsRw6rKozsv1IKdsOF5N2uJg1+wr4ZFsOAD7uriTHBJIaaxlhpcQGEurrYd+gOqDIQK8mJ0lENlgouK2115VyDwAfWGfwHQBuB1yAj5VSdwKHgevbKTYhhB2UNlP3qrl2e/J2d+Pii0K4+KIQwDLKOlxURdrhErYdtoyy5qw7YBtlxQZ7k2JNWikxgSRE+uPh1rlmDM6a2KfJaeazJvZpt5jaJUFprdOBpqYcXtbWsQghHMOZ/iNXStEtxIduIT62CRrVdSZ25lpGWemHS9h8sIil2/MAcHd1ISHSv1HSig32vqCvyzr5uTjD2oknyUoSQgiHcOSFn45ytLSa9MMlpB8pIe1wCTtzS23xB3kbSI4JJDk6kJRYy9dgmYDRIh3mOighROfgjP+Rn01EgBcRSV5MTooAwGgysy+/nO1HSkk/Usz2I6Wsy8yynUeLDfa2Jq0AUmICSYwMwMu9cx0adCQZQQkhxDmoqDWyI6eEHTmlbD9iGW0dLa0BwNVF0buLH8nRAfSPDqR/dAB9uvph6OTXZnWopY7sRRKUEMIZFJTVsN2asLZbk9fJySAebpbzWcnWhNU/OpAeoT64dKKp7pKghBDCSZycNbg9p5QdRywJq+H5LF8PNxIj/W0Jq390wAU9CUPOQQkhhJNoOGtwSnIkACaz5ufCCrY3SFgLNh6izmhZtsnf042k6ACSogJJigqgf3QA0UFeF2zSagkZQQkhRDupM5rJzC9nZ24pO3JK2ZVbyt5jZdSbLH+XA70N9IsMoF9UAEnWW0xwx0tacohPCCEuALVGE5nHKtiRW8KuXMtIa9+xclvS8vd0o19UwC+3SH/iQpz7nJYc4hNCiAuAh5ur5VBfdICtrdZoYt+xcnbllrEzt5SMvFLmf59NnclS7NHXw42ECH8So/xJjAygX5Q/PcN8O/zK7pKghBDCyXm4uVonUwTa2uqMZrIKyslokLQ+3HyE6vps6z4uxHf1IyEygMRIfxIj/ekb4d+hij7KIT4hhLhAmMyag8cryMgrY1duKbtyy8jIK6WsxgiAi4KLwnytCSuAhEh/EiL8HV6SRM5BCSGEOM3JciQZeWXszislI6+MjLwyjpXV2LaJDPC0JasEa/KKCfa2WwxyDkoIIcRpGpYjmdSvq639eEUte46W2RLWnqNlfLu3ALOGAbGBfHrviHaM2kISlBBCdEKhvh6M6hXGqF5htrbqOhP78supt06+aG+SoIQQQgDg5e5KSkzg2TdsIx17DqIQQogLliQoIYQQTkkSlBBCCKckCUoIIYRT6tDXQSmlCoFDduwyFDhux/4cSWJ1DInVMSRWx+gosXbTWoedfbPGOnSCsjel1JbWXEzWHiRWx5BYHUNidYyOFGtryCE+IYQQTkkSlBBCCKckCaqxt9s7gHMgsTqGxOoYEqtjdKRYz5mcgxJCCOGUZAQlhBDCKXWKBKWUmqSU2qeU2q+UeqyJ5z2UUh9Zn/9RKRXX4LnHre37lFITnTlepdR4pdRWpdRO69dLnTXWBs/HKqUqlFJ/dOZYlVL9lVIblVIZ1s/X0xljVUoZlFILrDHuUUo97sg4WxjraKXUNqWUUSl13SnPTVdKZVlv0501VqVUSoPv/w6l1I3OGmuD5/2VUrlKqTcdHavDaK0v6BvgCvwM9ADcge1Awinb3AvMsd7/NfCR9X6CdXsPoLu1H1cnjjcViLTe7wfkOmusDZ7/BFgE/NFZY8WyqPIOINn6OMSRPwfnGevNwIfW+95ANhDXzrHGAf2B94DrGrQHAwesX4Os94OcNNbeQC/r/UjgKBDojLE2eP4fwP+ANx0Vp6NvnWEENQTYr7U+oLWuAz4Erjplm6uABdb7i4HLlFLK2v6h1rpWa30Q2G/tzynj1Vqnaa3zrO0ZgKdSysMZYwVQSk3F8kcpw4Ex2iPWCcAOrfV2AK31Ca21yUlj1YCPUsoN8ALqgLL2jFVrna213gGcWsNhIrBKa12ktS4GVgGTnDFWrXWm1jrLej8PKADO+cLTtogVQCk1EOgCrHRgjA7XGRJUFHCkweMca1uT22itjUAplv+SW7KvvZ1PvA1dC6RprWsdFGejOKxaHKtSygd4FHjWgfE1GYfVuXyuvQGtlFphPaTyiBPHuhioxPIf/mHgFa11UTvH6oh9W8Mur6eUGoJlVPOzneJqSqtjVUq5AH8HZjkgrjbVGepBqSbaTp262Nw2LdnX3s4nXsuTSiUCL2P5z9+RzifWZ4FXtdYV1gGVo51PrG7ASGAwUAWsVpYS1qvtG+JZ42jJNkMAE5bDUEHABqXUN1rrA/YN8axxOHrf1jjv11NKRQDvA9O11o6s6nc+sd4LLNNaH2mj3y2H6QwjqBwgpsHjaCCvuW2sh0YCgKIW7mtv5xMvSqlo4DPgNq21I//DO99YhwJ/U0plA78H/qSUut9JY80B1mmtj2utq4BlwAAnjfVmYLnWul5rXQB8DzhyKZzz+R1p69+v83o9pZQ/8BXwpNZ6k51jO9X5xHoxcL/1d+sV4Dal1Ev2Da+NtPdJMEffsPz3ewDLJIeTJxsTT9nmPhqfcP7Yej+RxpMkDuD4SRLnE2+gdftrnf2zPWWbZ3D8JInz+VyDgG1YJh24Ad8AVzhprI8C87D8B+4D7Ab6t2esDbadz+mTJA5aP98g6/1gJ43VHVgN/N6RP6f2iPWU52bQgSdJtHsAbfTNvhzIxHLM+Alr23PAFOt9TywzyfYDm4EeDfZ9wrrfPmCyM8cLPInl/EN6g1u4M8Z6Sh/P4OAEZYefg1uwTObYBfzNWWMFfK3tGViS0ywniHUwlhFBJXACyGiw7x3W97AfuN1ZY7V+/+tP+d1KccZYT+ljBh04QclKEkIIIZxSZzgHJYQQogOSBCWEEMIpSYISQgjhlCRBCSGEcEqSoIQQQjglSVBCCCGckiQoIVpIKRWolLq3weNIpdRiB73WVKXU03bs75W2KL8ihD3JdVBCtJC15tKXWut+bfBaP2C5IPO4nfrrBszVWjt6fUYh7EZGUEK03EvARUqpdKXUbKVUnFJqF4BSaoZSaolS6gul1EGl1P1KqYeUUmlKqU1KqWDrdhcppZYrS0HJDUqp+FNfRCnVG6g9mZyUUtcrpXYppbYrpdZb21ytMfxkLaD3mwb7P2ItWLj95BpsWutDWFaR7+rwT0kIO+kMq5kLYS+PAf201ilgG1E11A9L0UhPLEv3PKq1TlVKvQrcBrwGvA3co7XOUkoNBd4CTj30NgLL2n8nPQ1M1FrnKqUCrW13AqVa68HWml/fK6VWAvHAVGCo1rrqZGK02mbt+5NWfwJCtCFJUELYzxqtdTlQrpQqBb6wtu8E+iulfIHhwKIGZRCaKigZARQ2ePw9MF8p9THwqbVtgrXPk6W+A4BewDhgnrasuo5uXAuqAEsZDiE6BElQQthPw+KQ5gaPzVh+11yAkpMjsDOoxpJwANBa32MdbV0BpCulUrCsVv6A1npFwx2VUpNovm6Qp7VvIToEOQclRMuVA36t3VlrXQYcVEpdD6AskpvYdA/Q8+QDpdRFWusftdZPA8ex1AlaAfxWKWWwbtPbWqV4JXCHUsrb2t7wEF9vLKuxC9EhSIISooW01iewnOvZpZSa3cpupgF3KqW2YymJcVUT26wHUtUvxwFnWyc97LI+tx14B0s5jW3W9n8Dblrr5cBSYItSKh34I4A1kfUEtrQybiHanEwzF8IJKaX+AXyhtf7GTv1dDRq/wfEAACAASURBVAzQWj9lj/6EaAsyghLCOf0VSwVfe3ED/m7H/oRwOBlBCSGEcEoyghJCCOGUJEEJIYRwSpKghBBCOCVJUEIIIZySJCghhBBOSRKUEEIIpyQJSgghhFOSBCWEEMIpSYISQgjhlCRBCSGEcEqSoIQQQjglSVBCCCGcUoeuqBsaGqrj4uLaOwwh/p+9+46ruvofOP46bFAU90IF92KpuGeYK1Nzpobrq2VptqxclU3rZ2ZWprnNyJGlppmaJmkuXAgqCg5AhsgG2XDP748LN1Cmlynn+Xh8Ht77uZ/P+bzvFTj3nM85560oSj4uXLgQIaWsU9TzKnQFZWNjw/nzKv+aoihKeSaECHic81QXn6IoilIuqQpKURRFKZdUBaUoiqKUSxX6HpSiPInS0tIICgoiOTm5rENRlCIxMzPD2toaY2PjYilPVVDAnkvBLDt0g5CYJBpamfP2oNaMdGpU1mEplVRQUBCWlpbY2NgghCjrcBSlUKSUREZGEhQUhK2tbbGUWem7+PZcCmbBb94ExyQhgeCYJBb85s2eS8FlHZpSSSUnJ1OrVi1VOSkVihCCWrVqFWvLv9JXUMsO3SApLSPHvqS0DJYdulFGESkKqnJSKqTi/rmt9BVUSExSkfYriqIopaPSV1ANrcyLtF9RKoNvvvmGtm3bMmnSpHyPq1q1KgD+/v506NChxOPKup6+xygVQ6WvoN4e1Bpjg5zNUmMDwduDWpdRRIpS9r7//nsOHDiAm5tbWYeiVGKVvoIC4OFuU9X9r1Ris2bN4vbt2wwfPpwVK1awZMkSvvzyS93rHTp0wN/fv1Blubu707dvX8aNG0erVq2YP38+bm5udOnSBTs7O27dugVAQEAALi4u2Nvb4+LiQmBgIAB37tyhe/fuODs789577+Uoe9myZTg7O2Nvb88HH3xQPG9eKVcq/TDzZYdukJYhc+xLy5AsO3RDDTVXyt7rr4OnZ/GW6egIX3+d58tr1qzh4MGDHDt2jNq1a7NkyRK9Lnf58mV8fHyoWbMmzZo1Y8aMGXh4eLBy5Uq+/fZbvv76a+bMmcPkyZOZMmUKGzduZO7cuezZs4fXXnuNl19+mcmTJ7Nq1SpdmYcPH8bPzw8PDw+klAwfPpzjx4/Tp08fvWJVypdK34JSgyQUpWQ5OzvToEEDTE1Nad68OQMHDgTAzs5O1xI7ffo0EydOBMDV1ZV///0XgJMnTzJhwgTd/iyHDx/m8OHDODk50bFjR65fv46fn18pviulNJRZC0oIYQicB4KllMOEELbAdqAmcBFwlVKmlnQcDa3MCc6lMlKDJJRyIZ+WTmkxMjJCo9Honhd1noupqanusYGBge65gYEB6enpuZ6TfbhybkOXpZQsWLCAl156qUixKBVLWbagXgN8sj3/AlghpWwJRAP/K40g3h7UGnNjwxz7TI0M1CAJRclkY2PDxYsXAbh48SJ37twp9mv06NGD7du3A+Dm5kavXr0A6NmzZ479WQYNGsTGjRt58OABAMHBwdy/f7/Y41LKVplUUEIIa+AZYH3mcwE8BezKPGQLMLI0Yhnp1IjRnRphmO1bmoWJIUPtGpTG5RWl3Bs9ejRRUVE4OjqyevVqWrVqVezX+Oabb9i0aRP29vZs3bqVlStXArBy5UpWrVqFs7MzsbGxuuMHDhzIxIkT6d69O3Z2dowZM4b4+Phij0spW0JKWfBRxX1RIXYBSwFLYB4wFTgjpWyR+Xpj4E8pZb4TKzp37iz1TViYtdTRw6tJuLSpy4apznqVrSiPw8fHh7Zt25Z1GIryWHL7+RVCXJBSdi5qWaXeghJCDAPuSykvZN+dy6G51pxCiBeFEOeFEOfDw8P1jie3pY4Ajl6/z79+EXqXryiKojyesuji6wkMF0L4ox0U8RTwNWAlhMgatGENhOR2spRyrZSys5Syc506RU5x/4is0XpSk0FSwOUcr72+w5Pw+BS9r6EoiqIUXalXUFLKBVJKaymlDfA88LeUchJwDBiTedgUYG9pxJM1Wi/ijxXc376IBJ8TANS1NCU+OY03d3qi0ZR+N6iiKEplV57mQb0LvCmEuAnUAjaUxkWzRvE1b9YZYWxG5KHvMIwPY+HQtiwZ3p4TfhGs/udWaYSiKIqiZFOmK0lIKd0B98zHt4EupR3DSKdGGCYl0vUbV9xrN2FSTAjph/4Pl8/HUrVqVU7ejOCrv3zp3LQGXZvVKu3wFEVRKq3y1IIqM8/2aEnd779mXNhN9rWw5e6tG/Ts2RMhBEtH2dG0pgWzf75EWJxKwa0oilJaVAWVZdIk2LqVQVeu0KNaNfr17AmApZkxa1w7kZiazituF0lN1xRQkKIoAJs3b2bOnDkFHhMS8t94qBkzZnDt2rWSDk2pIFQFld3EiQg3N07Ex/PNtWsQH4+Pjw+t6lnyxWh7LgRE89kBn4LLURSlUB6uoNavX0+7du3KMCKlPFEV1MMmTEBs2wYnT/Jxu3a0a9eOH374gWcdGvK/XrZsPuXPbxeDyjpKRSlRI0eOpFOnTrRv3561a9cC2kSAixYtwsHBgW7duhEWFgbAvn376Nq1K05OTgwYMEC3P0t8fDy2trakpaUBEBcXh42NDb/88gvnz59n0qRJODo6kpSURL9+/ciafH/w4EE6duyIg4MDLi4upfjulfKi0qfbyNX48WBiwrixY1kqBG/Pm0fv3r2ZP6QNV0Nimf+bN7a1q+DUpEZZR6o84T7cd5VrIXHFWma7htX44Nn2+R6zceNGatasSVJSEs7OzowePZqEhAS6devGp59+yjvvvMO6detYvHgxvXr14syZMwghWL9+Pf/3f//H8uXLdWVZWlrSr18//vjjD0aOHMn27dsZPXo0Y8eOZdWqVXz55Zd07pxzkYHw8HBmzpzJ8ePHsbW1JSoqqlg/A6ViUC2ovDz3HK1//52rRkZUSU5m8NNPE3DnNt9P6kS9aqa8uPUCobEqJYfyZPrmm290LaW7d+/i5+eHiYkJw4YNA6BTp066VBlBQUEMGjQIOzs7li1bxtWrVx8pb8aMGWzatAmATZs2MW3atHyvf+bMGfr06YOtrS0ANWvWLMZ3p1QUqgWVn6FDsf3zT/4cNoxuoaHYdehAQGAgG6Y489yqk7z44wV2vtQdcxPDgstSlMdQUEunJLi7u3PkyBFOnz6NhYUF/fr1Izk5GWNjY13qC0NDQ12qjFdffZU333yT4cOH4+7unmuCw549e+Lv788///xDRkYGHTrku8wmUspc02wolYtqQRXExQXHY8f4xNQUZ40Gq5AQWtWzZOXzTlwJiWXeL5fVShPKEyU2NpYaNWpgYWHB9evXOXPmTIHHN2qkzT69ZcuWPI+bPHkyEyZMyNF6srS0zHUV8u7du/PPP//oUnuoLr7KSVVQhdGtG/M8PDheqxYmAwZwYu1aulibs2BIG/7wDuWLQ9fLOkJFKTaDBw8mPT0de3t73nvvPbp165bv8UuWLGHs2LH07t2b2rVr53ncpEmTiI6O1mXIBZg6dSqzZs3SDZLIUqdOHdauXcuoUaNwcHBg/Pjx+r8xpcIpk3QbxaU40m0Uyc2b3Ozbl1YhITSsVQv/e/dYst+Hn84E8snIDrzQrWnpxaI8sZ7UdBu7du1i7969bN26taxDUUpQcabbUPegiqJFC1qcP8+INm3YExnJ3MGDWXnwECExyby/9woNrcx4qk29so5SUcqdV199lT///JMDBw6UdShKBaK6+IqqQQN+Cwjg7caNWX30KC9278byUe1o17Aas90ucSkwuqwjVJRy59tvv+XmzZslko1XeXKpCuoxCCsrvrhxg8lNm7L5/HmmO9mz0bUTdSxNmb75HDfvq9TTiqIo+lIV1GMS5uZsunmTWfb2rL59m7rTX2DrRHsMDQyYvMFDlwhRURRFeTyqgtKDgZERqy9fpv7KldzcvZt3HFqxbog18cnpTN7oQVRCalmHqCiKUmGpCqo4zJ3L+716sTMqivd7d2Rt75rcjUrkhfVniU1MK+voFEVRKiRVQRWTn/75hxF9+7I/KYmdQ3vyWvVYroXG4fDRYbovPcqeS8FlHaKiKEqFoiqoYmJgYMDuY8eYO20aX6elsfydCXS7cgykJDQ2mfm/eqlKSqkwvvnmG9q2bcukSZPyPa5q1aoA+Pv7F7h8UXHIut7jHuPv748Qgm+//Va3b86cOWzevDnfMpcsWUKjRo1wdHTUbTExMYWOW3k8qoIqRkIIvt6wgbrtexMAzP1jORM8D4KUJKdr+OKgWnFCqRi+//57Dhw4gJubW1mHUuzq1q3LypUrSU0t2j3iN954A09PT91mZWVVQhEqWVQFVcyEEJg/8w4N5mzlQvfxLDy8isnHNupaUgkp6WUdolLB9OvXT/cNPy0tjX79+vHTTz8BkJiYSL9+/dixYwegXRevX79+/PbbbwBERETQr18/9u3bB8C9e/cKvN6sWbO4ffs2w4cPZ8WKFSxZsoQvv/xS93qHDh10K5kXxN3dnb59+zJu3DhatWrF/PnzcXNzo0uXLtjZ2XHr1i0AAgICcHFxwd7eHhcXFwIDAwG4c+cO3bt3x9nZmffeey9H2cuWLcPZ2Rl7e3s++OCDQsUD2mWUXFxccl03cN26dTg7O+Pg4MDo0aNJTEzMt6yvvvqK6dOnA+Dt7U2HDh1ITExkyZIluLq68tRTT9GyZUvWrVtX6PiU/5R6BSWEMBNCeAghLgshrgohPszcbyuEOCuE8BNC7BBCmJR2bMWlUQ0LDKvU4MveL9CsWl2WntvNpN2fIaRk6iYPHqhKSinH1qxZQ8OGDTl27BhvvPGG3uVdvnyZlStX4u3tzdatW/H19cXDw4MZM2boutrmzJnD5MmT8fLyYtKkScydOxeA1157jZdffplz585Rv359XZmHDx/Gz88PDw8PPD09uXDhAsePHy90TPPnz2f58uVkZGTk2D9q1CjOnTvH5cuXadu2LRs2bNC9tmLFCl33Xv/+/QF4/fXXuXnzJrt372batGn88MMPWFhYAODl5cUff/zB6dOn+eijj3JkDlYKpyxaUCnAU1JKB8ARGCyE6AZ8AayQUrYEooH/lUFsxeLtQa0xNzZECIGm2xjSEey45cGi3Z9w0T8K1w1qdJ9SeO7u7kydOhUAY2Nj3N3deeGFFwCwsLDA3d1dt5hq9erVcXd3Z9SoUQDUrl0bd3d3nn32WYAcf+RLi7OzMw0aNMDU1JTmzZszcOBAAOzs7HQtsdOnTzNx4kQAXF1d+ffffwE4efKkbnFZV1dXXZmHDx/m8OHDODk50bFjR65fv46fn1+hY7K1taVLly78/PPPOfZfuXKF3r17Y2dnh5ubW47cVtm7+I4dOwZo7z1v3rwZV1dX+vbtS8+ePXXHjxgxAnNzc2rXrk3//v3x8PAodHyKlt4VlBCihhDCXgjRMWvL73ip9SDzqXHmJoGngF2Z+7cAI/WNrayMdGrE0lF2NLIyp5rTUNrPXM49CwsW+1+k57qXueIfyfNrTxEen1LWoSpKgYyMjNBoNLrnycnJRTrf1NRU99jAwED33MDAQJdT6mHZc0HllhdKSsmCBQt0FcbNmzf53/+K9p124cKFfPHFFzne29SpU/nuu+/w9vbmgw8+KNR79fPzo2rVqo+0kB6OW+W3Kjq9KighxMeAF/ANsDxz+zLfk7TnGQohPIH7wF/ALSBGSpn10xoENMrj3BeFEOeFEOfDw8P1Cb9EjXRqxMn5T3Hn82e4svYNPM6eIbVqVbZGBfH21nn4B0cxftVxgtWKE0o5Z2Njw8WLFwG4ePGiLkdTcerRowfbt28HwM3NjV69egHaRIfZ92cZNGgQGzdu5MED7Xfd4OBg7t+/X6RrtmnThnbt2rF//37dvvj4eBo0aEBaWlqhBojExsby2muvcfz4cSIjI9m1a5futb1795KcnExkZCTu7u44OzsXKT5F/9XMxwHNpZRFGg4jpcwAHIUQVsBuILfcArnmAZFSrgXWgjbdRtHCLT17LgWz7NANQmKSaGhlztuDWuPt7c3hw4eZZmmJ4/yPmfbMu4xd8Tc/zu5Di7qWZR2youRq9OjR/Pjjjzg6OuLs7FwiC75+8803TJ8+nWXLllGnTh1deviVK1cyceJEVq5cyejRo3XHDxw4EB8fH7p37w5oh5b/9NNP1K1bt0jXXbRoEU5OTrrnH3/8MV27dqVp06bY2dnlSKa4YsUK3eAUgD179vDRRx/xyiuv0KpVKzZs2ED//v3p06cPAF26dOGZZ54hMDCQ9957j4YNGxb9g6nk9MoHJYT4FXhZSlm0ry45y/gASATeBepLKdOFEN2BJVLKQfmdW+r5oAppz6VgFvzmTVLafzdgzY0NWTrKjpFO2obhpGef5c+Dh2g47lMMG7di44s96dQs72RvSuXxpOaDqkyWLFlC1apVmTdvXlmHUuqKMx+UvveglgKXhBCHhBC/Z235nSCEqJPZckIIYQ4MAHyAY8CYzMOmAHv1jK3MLDt0I0flBJCUlsGyQzcAbf+5gZUV0elpmB/5iqoht5i45l/+OlnwPKk9l4Lp+fnf2M7/g56f/60m/yqK8sTSt4tvC9rRd96ApoBjszQAtgghDNFWkDullPuFENeA7UKIT4BLwIb8CinP8lrJPGu/EIKtW7fi4uLCrFmzqHdgKdWa9eFFOYUPb/gzefrgXM9/uGUWHJPEgt+8AXQtM0VRtHOSso/6A+1gjbNnz5bK9ZcsWVIq13nS6VtBRUgpvynKCVJKL8Apl/23gS56xlMuNLQyz3XwQ0Mr8xzPp06dSrt27Rg6dCiB536jr6kp7xtO4s67P7D4w6kYmpnmOD6/lpmqoBTlP3Z2dnh6epZ1GIqe9O3iuyCEWCqE6F7YYeaVwduDWmNsmHNIqbGh4O1BrR85tkuXLnh7e7No0SKOHFjL9OTbbNDU46XZq0jw8c1xbEEtM0VRlCeJvi2orJZQt2z7suY0VW4Pjz3JZyxKgwYN+OSTTwCobqsh7O3x7B3wCkHLj7Cu00kaz5oKQhS6ZaYoivIk0KsFJaXsn8tW6SunZYdukKbJWSOlaaRukER+zMzMyNBkkPLvRm7E3GOEjylnJr0CERG6FSqyMzc2zLVlpiiKUtHp1YISQryf234p5Uf6lFvR6dMV99JLL9GnTx/Gjh3Ltd8+Ib65E+P6/I9PR8/hhXkvwCinR+ZXqftPiqI8ifS9B5WQbcsAhgA2epZZ4eXV5VbYrri2bdvi4eGBq6srkTcvIs/+yHvdXZm35iiDvvuQk6905s7nz3By/lOqclJKhMoHlVP2fFAdOnTg999zzqZxcHDQrRmoFB99u/iWZ9s+BfqRxxJFlUlxdMVZWFiwZcsW9u3bx5WTh3mtny1u1esxPLUlAd37w5EjxR22ouiofFCPylos9pdffmH69Om6Nfx8fHzQaDQcP36chISEkgi50tJ3kMTDLIBmxVxmhZPVqimOrrhhw4YB4NIwnTe3LyTctAqDp33DilfeZ3C/nbBsGVSvXqzxK+VLv379Htk3btw4XnnlFRITExk6dOgjr0+dOpWpU6cSERHBmDFjcrzm7u6e7/Wy54OaPn06sbGxOVZF6NChA/v378fGxqbA2N3d3fnggw+oV68enp6ejBo1Cjs7O1auXElSUhJ79uyhefPmBAQEMH36dMLDw3VLHTVp0oQ7d+4wceJE0tPTGTw45/zAZcuWsXPnTlJSUnjuuef48MMPC4wHtPmgevbsyZYtW5g5c2aO19atW8fatWtJTU2lRYsWbN26VZc+I0vbtm0xMjIiIiKCunXr8vPPP+Pq6oqPjw+///67akkVI30Xi/UWQnhlbleBG8DK4gmtYsu+WGxxdMW1a9eO/02fDqmJBGxfwJSOz/DBLUmqvQP88UcxRa0oKh9UXvmgspw9exYDAwPq1KkDwI4dOxg/fjwTJkxg27ZtRf58lLzp24Ialu1xOhCWbUVypRgZGRmxfv16Zs6cievkyfjtWMwnFtU5NWo+61+YQdMh/eHrr6GIi2Uq5V9+LZ6sfFB5ycoHVZay8kEBj+SDysqrdPr0aV0WYFdXV9555x1Amw/q119/1e1/9913gZz5oAAePHiAn5+fbqHWguSXD2rx4sXExMTw4MEDBg36bznQrMViLS0t2bFjB0IIzp07R506dWjatCnW1tZMnz6d6OhoatSo8ViflZKTvvegAtCmxkgDDIGGQogmxRGYkruuXbvieekSI0aMoF4tK0JtOjD0pR/YdS0S2bYtbNkCeiwArCgPU/mgtLLuQZ04cYLevXsDsG3bNq5fv46NjQ3NmzcnLi5OV6Eq+tO3i+9VIAxtTqc/Mrf9+Z6k6M3CwoI9e/YQHHCHQ2+5YBV7jQkB3ozt/jyxL82Gp56CGwXPuVKUwlD5oHKn0Wj45Zdf8PLywt/fH39/f/bu3au6+YqRvsPMXwNaSynbSyntMjf74ghMKZgQgkZW5nQ2uUd6TCi7//6JLsNf53hEOtjbw/vvQ5JaBknRz+jRo4mKisLR0ZHVq1eXWD6oTZs2YW9vz9atW1m5Unsre+XKlaxatQpnZ2diY2N1xw8cOJCJEyfSvXt37OzsGDNmTI7cTYW1aNEigoKCdM+z8kE9/fTTtGnTJt9zjx8/TqNGjWjU6L/7y3369OHatWuEhoYWORblUfrmgzoGPF1W953Kaz6okpRbIsSRTo34559/mPHSy9y84YNJ/RYMc+jB1r93YGHdEL75BoYNK7hwpVxQ+aCUiqw85YO6DbgLIRYIId7M2vQsU8lDVrqN4JgkJP+l29hzKZi+ffty1cuTDz/6hNSwW+y7eJwhi37jdKN28Oyz2u3mzbJ+C4qiKIWmbwUViPb+kwlgmW1TSkBBiRBNTEx4/71F3Lh+nd37/gALc4ZVsaV7j6HEnjgN7dvDokWQ2W+vKE8qb29vHB0dc2xdu3Yt67CUItJrmLmUsnAz45RiUdg1/lq1akUroJ9DS+ovHceZ6Ahs23Tjeycnnv/sM+1Iv88/h4kTwUDf7yiKUv6ofFBPBvXXqQIp6hp/VcyMuXfXn5HPuxJ78yITd22kmUNvzte1BldX6NYNTp0qyZAVRVEem6qgKpDHWeOvSpUq7N72I1evXqVdx+7cuXwClxRTNn21g/SQUOjZE8aNg1u3Sjp8RVGUIlEVVAUy0qkRS0fZ0cjKHAE0sjJn6Si7Qi2j1KZVC66cOcZ6t18Y9NJiPgyrQqvWvZnVdyBy/35o2xZefx0iIkr+jSiKohTCYw0zF0J8Sz45YqWUc/M5tzHwI1Af0ABrpZQrhRA1gR1o03X4A+OklNH5xVEZh5kXBykle8/fYXRvOzQpidjYdWNLa1v6/LYDqlaFd97RVlZVqpR1qJWSGmauVGTlYZj5eeBCPlt+0oG3pJRt0aaKny2EaAfMB45KKVsCRzOfKyVACMFI52YEBwXRY/gLBPp60XfXdqwbN+OQnQMsXgwtWsDq1VDElATKk6EweZcK6+2336ZNmzbY29vz3HPPERMTA0BqairTpk3Dzs4OBweHAtcMvHDhAnZ2drRo0YK5c+eS25drd3d3qlevrhu599FH/+VOjYmJYcyYMbRp04a2bdty+vRpAMaPH6873sbGBkdHxzxjGDx4MMHBwYB2maNPP/30kesLIdi3b59u37Bhw3Tv7ejRo3Ts2BFHR0d69erFzWxTP3bu3Em7du1o3749EydOzDMGjUbD3Llz6dChA3Z2djg7O+tW97CxscHOzk73fk5lu8ccFxdHo0aNmDNnTq7lbt68mZCQkDyvm+Wzzz4r8JhiI6XUe0M7tLzqY567F3ga7UroDTL3NQBuFHRup06dpKK/S74Bsk2/5yQgG7u4yn07j8mMXr2kBCltbaXcvFnKtLSyDrPSuHbtWpGO330xSPZYelTavLtf9lh6VO6+GKR3DFWqVNG7jCyHDh2SaZk/P++884585513pJRSfvfdd3Lq1KlSSinDwsJkx44dZUZGRp7lODs7y1OnTkmNRiMHDx4sDxw48Mgxx44dk88880yu50+ePFmuW7dOSillSkqKjI6OfuSYN998U3744Ye5np+YmCidnZ1zlHf+/PlHrm9tbS27du2q2/fMM8/IY8eOSSmlbNmype7/d9WqVXLKlClSSil9fX2lo6OjjIqKklJqP4+8/Pzzz3L06NG6z+ru3bu685o2bSrDw8NzPW/u3LlywoQJcvbs2bm+3rdvX3nu3Lk8r5uloJ+N3H5+gfPyMeoHfdfi6yCEuARcAa4JIS4IIdoX4XwbwAk4C9STUoZmVpqhQK7LcgshXhRCnBdCnA8PD9cnfCWTY8sm+Bz7jZ1/X6DN4MnMuZBA7aBoWjS2wc/CAqZOhQ4dYNs2eCg9gVK28pu8ra8HDx7g4uJCx44dsbOzY+/evYA2K23btm2ZOXMm7du3Z+DAgSTls6TWwIEDMTLSzmjp1q2bbmmha9eu4eLiAmiTCFpZWZFXl31oaChxcXF0794dIQSTJ09mz549hX4vcXFxHD9+XLegrImJCVZWVjmOkVKyc+fOPPM5ubu763JzSSnx9PSkY8eOjxzn4OBA9erV+euvvx55TQhBXFwcALGxsTRs2BDQ5qGaPXu2bhX0uvlkJQgNDaVBgwYYZE4Rsba2LnD19AsXLhAWFqZbSf5hu3bt4vz580yaNAlHR0diY2Np3bo1NzLX9JwwYQLr1q1j/vz5JCUl4ejoWGC25eKg7yCJtcCbUsqmUsomwFvAusKcKISoCvwKvC6ljCvsBaWUa6WUnaWUnbPysSjFY2z/jvz5pgufjWhLSloat+7609bXj6mDniFAo9HOm7Kzg+3bVUVVThQ0eVsfZmZm7N69m4sXL3Ls2DHeeustXbean58fs2fP5urVq1hZWRV6Be+NGzcyZMgQQPuH8yDPnQAAIABJREFUfO/evaSnp3Pnzh0uXLjA3bt3cz0vODgYa2tr3XNra2tdV9vDTp8+jYODA0OGDOHq1asA3L59mzp16jBt2jScnJyYMWPGI9lvT5w4Qb169WjZsmWu5f7555+6pImXLl3CwcEh15XWARYvXswnn3zyyP7169czdOhQrK2t2bp1K/Pna+9k+Pr64uvrS8+ePenWrRsHDx7MtVzQJqvct28fjo6OvPXWW1y6dCnH6/37988xMVmj0fDWW2+xbNmyPMscM2YMnTt3xs3NDU9PT6pXr853333H1KlT2b59O9HR0cycOZPPP/8cc3NzPD09SyXbsr4VVBUp5bGsJ1JKd6DAO+tCCGO0lZOblPK3zN1hQogGma83AIq2NLFSLAwNBBO7NyP89lUWbjyAZft+bDn8JzZ+N5nQ9yntxN4JE7Qtqp9+gjzSJSilo7CTtx+HlJKFCxdib2/PgAEDCA4OJiwsDNDmU8q6V9OpUyf8/f0LLO/TTz/FyMhI9817+vTpWFtb07lzZ15//XV69Oiha2nlFsvDcqscOnbsSEBAAJcvX+bVV19l5MiRAKSnp3Px4kVefvllLl26RJUqVfj8889znLtt27Z8s+GePHlSt8r6wYMHdRVtbrLScZw4cSLH/hUrVnDgwAGCgoKYNm0ab775pi4+Pz8/3N3d2bZtGzNmzNDdq3uYtbU1N27cYOnSpRgYGODi4sLRo0d1rx87dgxPT0/Onj0LwPfff8/QoUNp3LhxnvHm5umnn8bOzo7Zs2ezfv36Ip1bXPRei08I8Z4QwiZzWwzkuxa/0P5UbQB8pJRfZXvpd2BK5uMpaO9NKWXEwsSIT6cN4da/+3hl5S5M6jThmFUn3vt4G78t+IB9iYnayb5t2sCGDWowRRkp6uTtonBzcyM8PJwLFy7g6elJvXr1dPmRsud4MjQ0zDOvU5YtW7awf/9+3NzcdBWLkZERK1aswNPTk7179xITE5Nn68Xa2jrHquNBQUG67rHsqlWrphvgMXToUNLS0oiIiMDa2hpra2tdq2LMmDG6FCKgrSB+++03xo8fn+v1b9++TePGjTExMQG0CRPz6i7LsmjRohyDKMLDw7l8+bIuhvHjx+sGMVhbWzNixAiMjY2xtbWldevW+Pn55Vm2qakpQ4YMYdmyZSxcuDDf7s7Tp0/z3XffYWNjw7x58/jxxx91Lbf8aDQafHx8MDc3JyoqqsDjS4K+FdR0oA7wG7A78/G0As7pCbgCTwkhPDO3ocDnwNNCCD+0gyY+z68QpXTUrGLCqlef446vD9OnuLLt3F3Gr17D8MBAurdtxz+GhsgZM6BZM1ixQq3zV8oeZ/J2YcXGxlK3bl2MjY05duwYAQEBj1XOwYMH+eKLL/j999+xsLDQ7U9MTNR1s/31118YGRnRrl27XMto0KABlpaWnDlzBiklP/74IyNGjHjkuHv37ulaWx4eHmg0GmrVqkX9+vVp3Lix7p7K0aNHc1zryJEjtGnTJkc3YnbZu/diY2NJT0+nVq1a+b7vgQMHEh0dzeXLlwGoUaMGsbGx+Pr66t5z1nDskSNH6rILR0RE4OvrS7NmzXIt9+LFi7rRdhqNBi8vL5o2bZpnHG5ubgQGBuLv78+XX37J5MmTH2k9AlhaWuZIWbJixQratm3Ltm3bmD59OmlpaQAYGxvrHpc0fdfiiwbynPOUxzn/Arl33IKLPvEojyevFB7ZNbQy57Pn7Hi5b3OW1FvD9u+W4uF/nX5JcTSpV59pRkYsefNN+OQTmD0b5sxR6edLQdb/U0H/f0WRnp6OqakpkyZN4tlnn6Vz5844OjoWmB8pL3PmzCElJYWnn34a0A6UWLNmDffv32fQoEEYGBjQqFEjtm7dmm85q1evZurUqSQlJTFkyBBdF9uaNWsAmDVrFrt27WL16tUYGRlhbm7O9u3bdS22b7/9lkmTJpGamkqzZs3YtGmTruzt27fn27138OBBvv32W0BbsQwYMKBQ733RokW6itTIyIh169YxevRoDAwMqFGjBhs3bgS0CRgPHz5Mu3btMDQ0ZNmyZXlWgPfv32fmzJmkpKQA0KVLlzyHjhdkxowZzJo1i86dOzN16lRmzZqFubk5W7ZsYf369Xh4eGBpaUmfPn345JNP+PDDD3nxxRext7enY8eOJX4fSt98UJ2BhWgn1+oqO1lKSQvVRF39ZY0Cy36j3dzYsMAVKgIjE1l56Ao//riFyCPrqNO4GWfWbaDO10tJ/OMP6pqZwZQp8OabUAIJ7p5kZT1R9/Lly8ycORMPD48yi6E8SUlJoWfPnroRhjNmzGDGjBl069atjCMrn8rDRN0sbsBmYDTwbLZNqSAedxRYk1oWLJ/YhYs/L2P+tjNYDF+My9EYXMwbUw94ulYtvDds0N6jGj4c3N1Bjy9DSulYs2YNEyZMyHUEWmVlamqaY/j7+vXrVeVUSvTq4gPCpZS/F0skSpnQdxRY45oWfDa2I68PbsfGf/1ZfbcxhtXr83dYOPbp6Tg3bMiAI0f4eN8+DB0dYe5c7ShAM7PifBtKMZk1axazZs16rHNnz57NyZMnc+x77bXXmDatoNvSOXXt2lXXfZVl69at2NnZPVZcFZW3tzeurq459pmamupG51UG+nbxuQAT0C5NpPuJyjZ0vESpLj799fz8b4JzqYwaWZlzcv5TRS4vLjmNbWcDWfvXZW6f3M+DMzvJSEkkYNlyGm/eSNiVK9SrXRtefBFmzYIiDn2tDHx8fGjTpk2ec2wUpbySUnL9+vVy08U3DXAEBvNf994wPctUStHbg1pjbJjzD6GxoXjsUWDVzIx5qW9zTi8ZyfovP6L/R7upPeo9hie0570Fq2ggBE0TEtj52WekNG0Kzz0HR46o7r9szMzMiIyMzHXuj6KUV1JKIiMjMSvG3hF9u/gcpJSVq939JHr472Ax/F00MTJgdCdrRnVsxJnbHdnw7x02n/XDpGFr7kUHMR6oZWaGw/79LNuzh46tWsFLL2kHVhQwfPdJlzXnRy3lpVQ0ZmZmeQ7Vfxz6dvGtA1ZIKa8VW0RFoLr49FfcXXz5uRuVyE9nAth21p8wn3NkeP1B5A0PFo8aw8dhoVw9eZLqxsZYjxsHM2ZA376gurkUpcJ73C4+fSsoH6A52tUjUtDOb5JqmHnFYTv/j1wbTAK48/kzJXLNpNQM9nmF4HY2EI/zF7Cs04jhzi3Yv3A8N27eoL+hIbMyMni2eXPMZ86EyZOhQYMSiUVRlJJXVhVUrtOXpZSPN+W8iFQFpb/SbEHlxjsolp89AvndM5iwy+6knNuFUWo8MZH3MTMwoItGwzEDAwyGDoVp02DYMMhcbkZRlIqhTCqosqYqKP097kTd4paQks5+rxC2edzlUkAkaUFXSXRfi5lMJXDqVNI3b2TCvXs8X6UK4yZPxnDaNOjcWXUBKkoFoCoo5bEVZqmj0uQXFs+uC0H8ejGY8NgEalqa42gUwuZF2vk09YExQN+GDXnupZcwfOEF7VqAiqKUS6qCUp446RkaTvhF8OvFIA5fC+PBPX8s7l+lSuQNbpz7h5S0NBYAnwHhnTpRbeJETCdNgnr1yjp0RVGyURWU8kSLS07jT+9Q9nqGcPpWJKlx4cT+60aLbsP5yjyS5Zu+4mB8PAOBqR06MHjmTKpPmlTph6wrSnmgKiilUthzKZj5v3qRnK7Jsd/w2p9En9yJSEogKikRQ6ApcHnAAKpOmAAjRqjKSlHKiKqglEohr1GHxoaCtAyJ1GRgnRZE+OENxAb6cq92baS/P22AJjVrstDVlV5vvIFJPvlzFEUpXo9bQem7koSilKrcKieAtAzJiXf6c8A7lINXaxFs+hFmUuJStyo9jGOJWDCJm1FRHF25kqorV2JrYcH/XFx4bflyyCOLq6IoZUu1oJQKpfmCA2Tk8jNrKAS3lg7VPb8Xm8xf1+5x6GoYZ25Hkq6RVCeBZvG+JJ/5k8MXTzEU2AdcsrXl1dRUxo8dy5T336dajRrFFm95GyFZ2ir7+1e0VBefUinYzP8jz9f881j5IjYpjX98w/nrWhj/3LhPXHI6hjIdJysYLGMIdFvBx9e0abkNgU61a2NZvz5f//ADHXr0eOxY91wK5u1fLpOm+e93zNhAsGysQ6X4I11e5tgpZU9VUEqloO/KF+kZGs4HRPP39fscu34fv/sPAKhnkEDTe5cxvHiMS1c8uJGRwX4heKZ3bz4zNeVEYiKz332XgYMGYVLIlSwcPzxMTFLaI/utzI3x/GBgocqoyMp6lRKl/KhQ96CEEBvRpuW4L6XskLmvJrADbfp4f2CclDK6LOJTyq+3B7XO9Vt5YdODGBka0K1ZLbo1q8XCoW0Jik7k2I1w/rkRzmmjaiTU7YHRUMHgjDB8NPHUP3+EvX/twwM4OHw45oaGtG3cmPrNm7Nz716qVKmS57Vyq5zy2/+k0TcZpqKU1SCJzcB3wI/Z9s0HjkopPxdCzM98/m4ZxKaUY1ldQ8V1X8O6hgWu3Zri2q0pqekaLgZGc9w3nH9vVmNVcCzfdW1O1d4vMzLalwbXTxF/7m+O+Pvj5e+Paa9eMHAgznv2ICwtWbBoEb169aJOnTrF+ZYrrIZW5rm2oBpamZdBNEpFVGZdfEIIG2B/thbUDaCflDJUCNEAcJdS5vu1WHXxKSUpJjGVU7ciOXkzglO3IrkTkQCAlYnAMTGYvnev4XBiH8+G3iKU/9JoWVWtSucuXYjo+y5RCalITToGhsa6cmtYGHPp/Se/i0/dg1KyVKguvjzUk1KGAmRWUnVzO0gI8SLwIkCTJk1KMTylsrGyMGGoXQOG2mlTfYTEJHHmdiSnb0Vy5o4Z7kYNwXYAtYxgQEIwdS8cJsXzOPvjwzF0d+dgYgZfZljx5fnfMaxSgyodnsKiURuef9aZ9PR0jIzK069f8Rvp1IjzAVFsO3uXDCkxFILRnRqpykkptPLUgoqRUlplez1aSpnveF/VglLKUnBMEh53IvG4E8XZ21HczmxhmQqJQ3o0ne5cpuG5w6y4e5UoqSEIyGpLPDtkCL8fOIC/vz+rV6/m+eefx8nJqczeS0lQLSglS4Ubxae6+JQnTcSDFM77R+FxJ5oLgdFcDY4lPXOIua0mAbugq1ieP4RX4FVeTk9maKeOvAd84uGhPcbWFnt7e4KCgli+fDl9+/Ytw3ejPzWKT8nyJHTx/Q5MAT7P/Hdv2YajKEVTu6opgzs0YHAHbZdgcloGl+/GcDEwhouB0ZyqVoOIJl0AeJMMNsaF0tLnDK82iEETFUxYWBinDx8mOCmJ6HPnoHt35rz5Jhs3buT555/n2WefxdbWFmNjY1q3bl3uuwjVKD5FX2XSghJCbAP6AbWBMOADYA+wE2gCBAJjpZRR+ZWjWlBKRSKlJCg6iUt3Y/AMjMHzbjRXQ+JIyVz4tnpGCh3u36bFzQt0jgjEPiaILw1S+TEqigdpaWiy/a56enri4ODAqlWr8PLyYuHChTQtZ+sLVvZ5YMp/KlwXX3FQFZRS0aVlaPANi8crKBavoFiuBMdyPTROt/qEZXoyHUJv0iL4OpZ3vQmPCSbU1IANL0zCtFs36r/0EmEREYB20JClpSXR0dH4+vpSpUoVrl27Rnp6OnZ2dohSzj7s9NFhohMfraAqyyhG5T9PQhefolQ6xoYGtG9YnfYNqzNB2/tHSnoGvvcecCVEW2FdCa7HztAOpGSMAcBEk85zEYG03XCCNxo4kWJ+lxRzwR0jwcmwMMzMzalibo6Uko4dO5KamsqwYcNo164dYWFhmJiY8MMPPwAQGxtL1apVMTQ0LPb3FpNL5ZTffqXslbe1E1UFpSjljKmRIXbW1bGzrq7bl56h4U5EAtdC47gWGodPUF3+CWpOhN0A3TG1E2LoFe5Pq4gAtncbSdMaJkxt1YZryYncuXaNgwcPkpaWRuPGjQFt5dSiRQsA3nvvPVq3bo2XlxfW1tZMmDAB0HZLPm7LS03UrVgeHnUZHJPEgt+8AcqsklJdfIpSgUU8SOHGvXh8QuPwDYnlRkA4vtGpJMn/KpUGceG0iLxLs/AALFMiaF23Gj0dWhNbryaDvviCoPv3SUr6ryKxs7PDy8sLf39/evToga2tLUuXLqVFixYcPHiQFi1a0KdPnwJjU8PMK5aSHHWpuvgUpRKqXdWU2i1M6dmitm6fRqMdjOEbFo9vWBx+t6pxM7QWOxMcSCKzKy8ZavjEYt/rFUZGh1BHxmNgkEiSYTpP9+0Bt27h6+vL/fv3CQ0NzTHkfcSIEfTp0wcfHx969+7NkCFDWLJkCU2aNGH16tX06NGDzp07M9KpERqNhuV/+ZWbLiMlb+Vx1KWqoBTlCWNgIGhSy4ImtSwY0K4e9NcmZNRoJMExSdwMf8Ct4Ghu+QVz6545fye2JEL8t0L7pnsZNP7ib2xi77Fw1NtY8gBhlEqyUTohKQ946Y03ADhy5AiRkZH89NNP/PTTTxgaGpKRkcG8efPo3LkzJ0+eZHy/fsydO5d58+ZRrVo1li5dSlNG4+TkREZGBrGxsdSoUaPUB3Aoj6pubpzrqMvq5sa5HF06VAWlKJWEgYGgcU0LGte0oH/ruvDUf/PgYxPTuBXxAP+7Edy5cZfbIancibfEQ2NGYrZ1BI0y0rm20Zsm3x+nsWEqn/9vEcIwlTTDNGIzkvGPiuD1118HYOfOnaSnp/PVV1/x1VdfYWJiQmpqKjY2Njg5OeHm5saUKVNYuHAhM2bMICMjgyVLlvDWW2/h5OREXFwcV65cwc7ODktLy1L/vCqbvL4jlOV3B3UPSlGUPEkpCY9PwT8kGv/r/gT4h+Ef/oDAJEmAMCfOOOeAhxpJcTRJisbaIJV6JhmYGiSjMUojRaQRl5ZIeGQEGzZswMTEhFGjRrF7927duUIIjIyMOHLkCH369GHhwoUsXbqUJUuWMHjwYIKDg3n//ff5+eefsbe3x9fXlz///JNJkyZRu3ZtEhMTSUtLo1q1aqpF9hhs5/9BbrWBAO7kkQy0sNQ8KEVRSl1MQgp3b4cQeN2fgID7BEU84G5iBkHSlGCz6qQa5uweqpkcT6P0BBoaZVDXVIOpYQoGhmmkGqTxIDkeE0P47LPPAOjTpw8nTpzIcX61atXw8vKiadOmDB8+nH379jFv3jzs7e3x9vZm2bJl3Lp1i2bNmrFv3z7WrVvH5s2bqVmzJleuXMHb25tRo0ZhampKcnIyRkZG5X5FjtJSHgdJqApKUZQSocnQEB4QQpDPbe7eDiU4LIag2BSCUwUhwowQixokmuRsgRlr0qmXlkBDgzTqmQmsjDMwMkoFkUqqTKZOzerMeWkGRoYGDBw4kDNnzhAfH687v02bNly6dAkzMzPat29PQEAAQ4YMoXHjxly7do1Dhw6RnJyMqakp7777LsuWLSM1NRUjIyM2btzIn3/+yc6dOxFCcOrUKQIDA3n++ecBiImJwdDQ8IntbizJUZeqglIUpUKRiYnE+t4mxC+QkMD7hITFEBqXTGgKhEgTQs2qE1a1FqlGOVthBlJD7Yxk6hmkU8/MACszialhKkKkUt+6Pv369qaOpSlvzZ5JYEAAoaGhhIaGkpCQwNixY9m5cycajQZjY2259evXp169eiQlJZGRkYGvry/p6ekMHDiQS5cu8c8//1C3bl0WLFjA4cOHCQ4OBmDx4sX4+fmxY8cOALZv305cXBwvvvgiAFevXsXQ0JA2bdqU4qeqn5KaqKsqKEVRnixJScjAQKJvBhDqH0JYaBShUQmExacSlgZhmBBmbkWYZS2iLKo/crqB1FBTplHHSEMdc0OqmUhqVDOlaTMbrKws+Hf/dpLjIomLCicmMoL798NwdXXltddeIzQ0lIYNG+YoTwjB2LFj2bFjB/fu3WPAgAFkZGQwduxY6tSpw6ZNm8jIyODy5cukp6czaNAgkpKSOHXqFAADBw7E1NSUffv2AfDWW29Ro0YNFi9eDMDWrVupVasWQ4cOBeDKlStUr15dN7G6IlPzoBRFebKYmyNat6Zm69bUBNo//LqUEBUFd++SejeYiMBQwkIiuR8Zz/34ZMKTMgjPMCDcqAr3q9bgZhUrIixqkBrgn1mAPZgDjcCgoaSmSOdAJJxdup8aFsbM/r+fMTJIR6YmkJEQQ3J8FE8//TSRD1KIio5Bo9EQERHBJ598QtYX/XXr1gFw7tw5/v77b8zNzbGxsaFWrVokJiYybNgwAO7cuYO7uzs1a9akc+fO1KpViw8++ICOHTvqKqiRI0fStWtX3NzcAGjVqhWDBg3i22+/BWDcuHH07duX2bNnA9p7d507d2bgQO06hwcPHqRly5Y0b94cgPDwcKpXr46JyX9TCso7VUEpilIxCQG1akGtWpg4OtIQaJjbcYmJEBICoaHI4BDiggMIvxdFRFQ8EXHJRCSmEZUG4QamRFhYEWVRnWsW1YmwqE68WU2gJtAYzOHIv6nw7xEEEquRn2NnLKhhKjATqZiKVAKqNGG1+y3SYyVT5s4n5UEMSfGxJMRGYxgdyciRIwG4cOECFy9eBLTzybJ89913APz6668kJSXh6enJ4MGDqVGjBlZWVrRvr62mb9y4wY0bN6hZsyaXLl3CysqKjz/+mLlz5zJw4ECklAwdOpRFixbx8ccfk56eTt26dfnwww95//33SU5Opk2bNixevJgZM2aQkJDA5MmTmTlzJoMHDy65/7MiUhWUoihPNgsLaNECWrRAANUztxYPH5eSAmFhObbUe7eJvh9NZFQ8kXFJRCWmEZ2qIUoaEW1WlSjzakRZVCfSvBox5pb8GxFGqlG0tjzzXtoWWp3/LjFjfxRWh/ZTzdiMER/9igkpGJOCQVoCpCbgL+qz1zOYwAQD7Dp3JzE+lvCIKG7dvk10lLYFB/D777/j5eWFl5eXbuFfgFdeeQWAb7/9lubNm3P48GEuX76MpaUlvXv3pn///gCcPXuWJk2aEBISwqlTp9BoNHh7exMZGVkS/wOPTd2DUhRFKar0dG334v37EB6u2+T9cJIio4mOjic6LpGYhFRikjOISZPEGJsTa1aVGDNLYsyqEmtWlVhzS92+ZGPTfC9pIiTVjAXVTA0x1SRhkByDMakYpCchUhPQJCcwZOxkalavyvm/93Hq8D6SHsSR+CCeB/GxxMfFERYWhrGxMS+//DJr1qzJWb6JCSkpKSXycalBEoqiKOWVlJCQAJGR2i0iQlvBRUXp9qVExxIXm0BsfBJxSanEpmQQlyaJMzIjzrQKsWZViTetQpxZFeJMtVu8qQXxmfuTjQq+t2QkJFWNBCZpCZikxWMsUzDUpGKYkYwh6XQd+BxVTY2wrV2FUR2ti+3tq0ESiqIo5ZUQULWqdssj87Ep2t7AOtl3Sqm9hxYTA9HR2i3749j7EOMLUTGkxcYR/yCJ+IQU4pPTeJCSQXya5IGhCQ9MLYg3sSDetAoJJuaZz81JMLHIfF6DWDMLdh3z4YGxKd0zohjVcUopfDD5UxWUoihKeSUEVKmi3RrlPx/JGO1wjprZd0oJyckQFwexsdotPv6/53Fxmds97f7oOGR8PKmty8fcLVVBKYqiPKmEAHNz7VavXuFOQduaKw8MyjoARVEURclNuaughBCDhRA3hBA3hRDzyzoeRVEUpWyUqwpKCGEIrAKGAO2ACUKIdmUblaIoilIWylUFBXQBbkopb0spU4HtwIgyjklRFEUpA+VtkEQj4G6250FA1+wHCCFeBF7MfPpACHGjGK9fG4goxvJKkoq1ZKhYS4aKtWRUlFhzH1tfgPJWQeWWBjPHTGIp5VpgbYlcXIjzjzOZrCyoWEuGirVkqFhLRkWK9XGUty6+ICD72vLWQEgZxaIoiqKUofJWQZ0DWgohbIUQJsDzwO9lHJOiKIpSBspVF5+UMl0IMQc4BBgCG6WUV0sxhBLpOiwhKtaSoWItGSrWklGRYi2yCr1YrKIoivLkKm9dfIqiKIoCqApKURRFKacqRQVV0PJJQghTIcSOzNfPCiFssr22IHP/DSHEoPIcrxDiaSHEBSGEd+a/T5XXWLO93kQI8UAIMa88xyqEsBdCnBZCXM38fM3KY6xCCGMhxJbMGH2EEAtKMs5CxtpHCHFRCJEuhBjz0GtThBB+mVuJ53d43FiFEI7Z/v+9hBDjy2us2V6vJoQIFkJ8V9Kxlhgp5RO9oR1scQtoBpgAl4F2Dx3zCrAm8/HzwI7Mx+0yjzcFbDPLMSzH8ToBDTMfdwCCy2us2V7/FfgFmFdeY0U7mMgLcMh8Xqskfw70jHUisD3zsQXgD9iUcaw2gD3wIzAm2/6awO3Mf2tkPq5RTmNtBbTMfNwQCAWsymOs2V5fCfwMfFdScZb0VhlaUIVZPmkEsCXz8S7ARQghMvdvl1KmSCnvADczyyuX8UopL0kps+aNXQXMhBAluXK+Pp8tQoiRaP8olcZITX1iHQh4SSkvA0gpI6WUGeU0VglUEUIYAeZAKhBXlrFKKf2llF6A5qFzBwF/SSmjpJTRwF/A4PIYq5TSV0rpl/k4BLjPQ7kFy0usAEKITkA94HAJxljiKkMFldvySQ9n/tIdI6VMB2LRfksuzLnFTZ94sxsNXJJSppRQnDniyFToWIUQVYB3gQ9LML5c48hUlM+1FSCFEIcyu1TeKcex7gIS0H7DDwS+lFJGlXGsJXHu4yiW6wkhuqBt1dwqprhy89ixCiEMgOXA2yUQV6kqV/OgSkiByyflc0xhzi1u+sSrfVGI9sAXaL/5lyR9Yv0QWCGlfJDZoCpp+sRqBPQCnIFE4KgQ4oKU8mjxhlhgHIU5pguQgbYbqgZwQghxREp5u3hDLDCOkj73ceh9PSFEA2ArMEVK+UjLpRjpE+srwAEp5d1S+t0qMZWhBVWY5ZN0x2R2jVQHogp5bnHTJ16EENbAbmCylLIkv+HpG2vgbHxfAAAgAElEQVRX4P+EEP7A68BCoZ2kXR5jDQL+kVJGSCkTgQNAx3Ia60TgoJQyTUp5HzgJlORabfr8jpT275de1xNCVAP+ABZLKc8Uc2wP0yfW7sCczN+tL4HJQojPize8UlLWN8FKekP77fc22kEOWTcb2z90zGxy3nDemfm4PTkHSdzm/9u79zg5qjr//683SUgCBIIhKGSQhGuICUzicBG84IIhAQVcUIi4GK5GQXZ/sCguiivrBTf6AxUQAz+M8MWwiBgCiwTFIDzCdXKDAD8gy0UmsOQCBJQQEvL5/lE1Q2fSM5mZdNec6Xk/H49+THfVqdOfqu6Zz5yqU+dUv5PE5sQ7OC9/XOrHtlWZf6f6nSQ257huD8wn63TQF/gTcFSisX4D+BXZf+BbA08A+3ZnrCVlp7NxJ4nn8uO7ff78fYnGuiVwN/Av1fyeViLWVusm04M7SXR7AAV92EcCT5OdM74wX3YxcHT+fABZT7IlwMPAbiXbXphv9xQwMeV4gW+RXX9YWPLYMcVYW9Xx71Q5QVXge/BFss4ci4H/TDVWYJt8+eNkyen8BGLdn6xF8HdgJfB4yban5vuwBDgl1Vjzz39tq9+t+hRjbVXHZHpwgvJQR2ZmlqTecA3KzMx6ICcoMzNLkhOUmZklyQnKzMyS5ARlZmZJcoIy6yBJgyV9teT1zpJurtJ7HSvpogrW9+MiRrc3qyR3MzfroHxKi9sjYnQB73U/2f0uKypU367A1RFR7eGvzCrGLSizjrsE2F3SQklTJQ2XtBhA0mRJMyXdJuk5SWdLOlfSAkkPSnpfXm53SXcqm6/rPkkjW7+JpL2ANc3JSdLnJC2WtEjSvfmyPnkMj+TzE325ZPuv5/NBLWoe4iYiXiAbpPcDVT9KZhXSGwaLNauUC4DREVEPLS2qUqPJ5uQaQDYywjciYqykS4GTgcuAacCUiHhG0oHAlUDrU2+HkA2t1Owi4IiIWCppcL7sNGBVROyfT6kyV9JdwEjgWODAiHirOTHm5ud1/67LR8CsQE5QZpUzJyLeBN6UtAq4LV/+GLCvpG2Ag4HflowyXW6+rp2A5SWv5wLTJd0E3JIvG5/X2TyT6nbAnsDhwK8iG9SW2HCqjWVko5yb9QhOUGaVUzr31vqS1+vJfte2AF5vboG1YzVZwgEgIqbkra2jgIWS6skGg/1aRMwu3VDSBNqelmFAXrdZj+BrUGYd9yYwqKsbR8QbwHOSPgegzH5lij4J7NH8QtLuEfFQRFwErCCbhmE28BVJ/fIye+WTQN4FnCppq3x56Sm+vcgGuzXrEZygzDooIlaSXetZLGlqF6s5CThN0iKyEcdbT+UOcC8wVu+dB5yad3pYnK9bBFxDNlr5/Hz5L4G+EXEnMAtolLQQ+FeAPJHtATR2MW6zwrmbuVmCJP0UuC0i/lSh+j4LjIuIb1eiPrMiuAVllqYfkE2QWCl9gZ9UsD6zqnMLyszMkuQWlJmZJckJyszMkuQEZWZmSXKCMjOzJDlBmZlZkpygzMwsSU5QZmaWJCcoMzNLkhOUmZklyQnKzMyS5ARlZmZJcoIyM7MkOUGZmVmSevSU7zvssEMMHz68u8MwM7N2zJs3b0VEDO3sdj06QQ0fPpzGRk8QamaWMkkvdGU7n+IzM7MkOUGZmVmSnKDMzCxJTlBmZpYkJygzM0tSIQlK0rWSlkla3Mb67STdJmmRpMclnVJEXGZmlq6iWlDTgQntrD8LeCIi9gMOBX4iacsC4jIzs0QVkqAi4l7g1faKAIMkCdgmL7uuiNjMzCxNqdyoezkwC3gJGAScEBHryxWUdCZwJsAHP/jBwgK0dM1csJSps5/ipddXs/PggZx/xN4cO3ZYd4dlZpsplU4SRwALgZ2BeuBySduWKxgR0yKiISIahg7t9MgZVmNmLljKN295jKWvryaApa+v5pu3PMbMBUu7OzQz20ypJKhTgFsiswR4DhjZzTFZDzB19lOsXvvuBstWr32XqbOf6qaIzKxSUklQfwUOA5D0fmBv4Nlujch6hJdeX92p5WbWcxRyDUrSDLLeeTtIagK+A/QDiIirgP8Apkt6DBDwjYhYUURs1rPtPHggS8sko50HD+yGaMyskgpJUBExaRPrXwLGFxGL1Zbzj9ibb97y2Aan+Qb268P5R+zdjVGZWSWk0ovPrEuae+u5F59Z7XGCsh7v2LHDnJDMalAqnSTMzMw24BaUmVmNqZWb152gzMxqSPPN680dh5pvXgd6XJLyKT4zsxpSSzevO0GZmdWQWrp53QnKzKyGtHWTek+8ed0Jysyshpx/xN4M7Ndng2U99eZ1d5IwM6shtXTzuhOUmVmNqZWb132Kz8zMkuQEZWZmSXKCMjOzJDlBmZlZkpygzMwsSU5QZmaWJCcoMzNLkhOUmZklyQnKzMySVEiCknStpGWSFrex/nxJC/PHYknvSnpfEbGZmVmaimpBTQcmtLUyIqZGRH1E1APfBP4SEa8WFJuZmSWokLH4IuJeScM7WHwSMKN60ZhZNdTKNOOWjqSuQUnaiqyl9bt2ypwpqVFS4/Lly4sLzsza1DzN+NLXVxO8N834zAVLuzs068GSSlDAZ4C57Z3ei4hpEdEQEQ1Dhw4tMDQza0stTTNu6UgtQZ2IT++Z9Ti1NM24pSOZBCVpO+ATwK3dHYuZdU4tTTNu6Siqm/kM4AFgb0lNkk6TNEXSlJJinwXuioi/FxGTmVVOLU0zbukoqhffpA6UmU7WHd3Mephammbc0uEp382sImplmnFLRzLXoMzMzEp1KkFJ2k3SbZJW5EMX3Sppt2oFZ2ZmvVdnW1C/AW4CPgDsDPwWdws3M7Mq6GyCUkRcHxHr8sf/AaIagZmZWe/W2U4ScyRdANxIlphOAP67eeRxD/BauzzOmpkVrbMJ6oT855dbLT+VLGH5etRmSDUJNI+z1jyUTfM4a0AS8ZlZbepUgoqIEdUKpLdLOQm0N85ad8dmZrWrUwlKUh/gKGB46bYR8f9WNqzeJ+Uk4HHWzKw7dPYU323A28BjwPrKh9N7pZwEdh48kKVl4vA4a2ZWTZ1NUHURsW9VIunlUk4C5x+x9wanH8HjrJlZ9XW2m/kfJI2vSiS9XMqDbR47dhg//McxDBs8EAHDBg/kh/84pttPPZpZbetsC+pB4PeStgDWAgIiIrateGS9TOqDbXqcNTMrWmcT1E+AjwCPRYRv0K0wJwEzs/d09hTfM8BiJyczM6u2zragXgbukfQHYE3zQnczNzOzSutsgnouf2yZP6yXSHWUCzOrXZ0dSeK7AJK29tTsvUfKo1yYWe3q7HxQH5H0BPBk/no/SVdWJTJLRnujXJiZVUtnO0lcBhwBrASIiEXAxysdlKUl5VEuzKx2dXrK94h4sdWid8sWtJrR1mgWKYxyYWa1q7OdJF6UdDAQkrYEziE/3dceSdcCnwaWRcToNsocStZC6wesiIhPdDI2q5LUhzpKvQNH6vFZ7amV71xnE9QU4KfAMKAJuAv4age2mw5cDlxXbqWkwcCVwISI+KukHTsZl5VRqS9pyqNcpN6BI/X4rPbU0neuswlq74g4qXSBpEOAue1tFBH3ShreTpEvALdExF/z8ss6GZe1UukvaaqjXKQ8TQmkH5/Vnlr6znX2GtTPO7iss/YCtpd0j6R5kk5uq6CkMyU1Smpcvnx5Bd66NvWWnnepd+BIPT6rPbX0netQC0rSR4CDgaGSzi1ZtS3Qp/xWnY7jw8BhwEDgAUkPRsTTrQtGxDRgGkBDQ4OHXGpDLX1J25PyNCWQfnxWe2rpO9fRFtSWwDZkiWRQyeMN4PgKxNEE3BkRf4+IFcC9wH4VqLeqZi5YyiGX/JkRF/w3h1zyZ2YuWNrdIbXoLT3vUp6mBNKPz2pPLX3nOtSCioi/AH+RND0iXqhCHLcCl0vqS5YMDwQurcL7VEw1LkRWsudN6j3vKiXlDhyQfnxWe2rpO6ciBiaXNAM4FNgBeAX4Dll3ciLiqrzM+cApZFPJXxMRl22q3oaGhmhsbKxS1O075JI/l21GDxs8kLkX/EOn62ud8CBLKJszMWCtdDU1s55N0ryIaOjsdp3txdclETGpA2WmAlMLCKciKn2Np5Z63piZVUKnR5KwTKWv8VQ64TW3yJa+vprgvVOQKV0nMzNrT2cHix0g6SxJV0q6tvlRreBSVukLkZVOeL2lm7mZ1a7OtqCuBz5ANmDsX4A64M1KB9UTHDt2GD/8xzEMGzwQkV172pzrRZVOeL2lm7mZ1a7OXoPaIyI+J+mYiPi1pN8As6sRWE9QydEVKt3zppbuhTCz3qmzCWpt/vN1SaOB/wWGVzSiXqySCa+3dDM3s9rV2QQ1TdL2wLeBWWQ3715U8ahss9XSvRA9nbv7m3VNIfdBVUt33gdl1hHVuL/NrKcp5D4oSf2B48hO67VsGxEXd/aNzXoD399m1nWdPcV3K7AKmAesqXw4PYtP3dimuDelWdd1NkHVRcSEqkTSw9TSpGBWPe5NadZ1nb0P6n5JY6oSSQ/jG2GtI2ppZGmzonW2BfVRYLKk58hO8QmIiNi34pElzqdurCPcm9Ks6zqboCZWJYoeyKdurKMqeX+bWW/SqVN8EfFCuUe1gkvZJ0cO7dRyMzPrHI9m3kVz/v/lnVpuZmad4wTVRb4GZWZWXU5QXVTp6THMzGxDTlBd5O7DZmbVVciU77XI3YfNzKrLCWozuPuwmVn1FJKg8mnhPw0si4jRZdYfSjbO33P5ols8AK1Zz+KxKa3SimpBTQcuB65rp8x9EfHpYsIxs0ry2JRWDYV0koiIe4FXi3gvMyuex6a0akipF99HJC2S9AdJH+ruYMys48oN+9XecrOOSKWTxHxg14j4m6QjgZnAnuUKSjoTOBPggx/8YHERmlmb+ki8W2Z27j5SN0RjtSKJFlREvBERf8uf3wH0k7RDG2WnRURDRDQMHepx78xSUC45tbfcrCOSSFCSPiBl/2pJOoAsrpXdG5WZddSwNkZQaWu5WUcUkqAkzQAeAPaW1CTpNElTJE3JixwPLJa0CPgZcGKE//Uy6yk8sopVQyHXoCJi0ibWX07WDd3MeiCPrGLVkEonCTPr4TyyilVaEtegzMzMWnOCMjOzJPkUn1li1q5dS1NTE2+//XZ3h2LWKQMGDKCuro5+/fpVpD4nKLPENDU1MWjQIIYPH458o6v1EBHBypUraWpqYsSIERWp06f4zBLz9ttvM2TIECcn61EkMWTIkIq2/J2gzBLk5GQ9UaW/t05QZmaWJCcoMzNLkhOUmW1km222qVhd559/PiNHjmTffffls5/9LK+//joA77zzDqeccgpjxoxhv/3245577mm3nnnz5jFmzBj22GMPzjnnHMqNhnbPPfew3XbbUV9fT319PRdf/N7E3K+//jrHH388I0eOZJ999uGBBx4A4IQTTmgpP3z4cOrr69uMYcKECSxduhSAGTNm8P3vf3+j95fEbbfd1rLs05/+dMu+3X333YwbN476+no++tGPsmTJkpZyN910E6NGjeJDH/oQX/jCF9qMYf369ZxzzjmMHj2aMWPGsP/++/Pcc9lk5MOHD2fMmDEt+3P//fe3bPfGG28wbNgwzj777LL1Tp8+nZdeeqnN9232gx/8YJNlKiYieuzjwx/+cJjVmieeeKJT5X8/vykO/uHdMfwbt8fBP7w7fj+/abNj2HrrrTe7jmazZ8+OtWvXRkTE17/+9fj6178eERGXX355TJ48OSIiXnnllRg3bly8++67bdaz//77x/333x/r16+PCRMmxB133LFRmTlz5sRRRx1VdvuTTz45rr766oiIWLNmTbz22msblTn33HPju9/9btnt33rrrdh///03qK+xsXGj96+rq4sDDzywZdlRRx0Vc+bMiYiIPffcs+XzveKKK+JLX/pSREQ8/fTTUV9fH6+++mpEZMejLb/5zW/iuOOOazlWL774Yst2u+66ayxfvrzsduecc05MmjQpzjrrrLLrP/GJT8QjjzzS5vs229R3o9z3F2iMLvyNdwsqITMXLOWQS/7MiAv+m0Mu+TMzFyzt7pAscc1TrS99fTXBe1OtV+K787e//Y3DDjuMcePGMWbMGG699VYAnn/+efbZZx/OOOMMPvShDzF+/HhWr257YsLx48fTt292R8tBBx1EU1MTAE888QSHHXYYADvuuCODBw+msbGxbB0vv/wyb7zxBh/5yEeQxMknn8zMmTM7vC9vvPEG9957L6eddhoAW265JYMHD96gTERw0003MWlS+aFD77nnHg499NCWsgsXLmTcuHEbldtvv/3Ybrvt+OMf/7jROkm88cYbAKxatYqdd94ZgKuvvpqzzjqL7bffHsiOR1tefvlldtppJ7bYIvvzXVdX17JdW+bNm8crr7zC+PHjy66/+eabaWxs5KSTTqK+vp5Vq1ax995789RT2YzIkyZN4uqrr+aCCy5g9erV1NfXc9JJJ7X7npXgBJWIav6hsdpVzanWBwwYwO9//3vmz5/PnDlzOO+881pOqz3zzDOcddZZPP744wwePJjf/e53Harz2muvZeLEiUD2h/zWW29l3bp1PPfcc8ybN48XX3yx7HZLly6lrq6u5XVdXV3LqbbWHnjgAfbbbz8mTpzI448/DsCzzz7L0KFDOeWUUxg7diynn346f//73zfY7r777uP9738/e+5Zdq5U/vCHPzBhwgQAFixYwH777ddmr7VvfetbfO9739to+TXXXMORRx5JXV0d119/PRdccAEATz/9NE8//TSHHHIIBx10EHfeeWfZegE+//nPc9ttt1FfX895553HggULNlj/yU9+kvr6eg488EAgOyV43nnnMXXq1DbrPP7442loaOCGG25g4cKFbLfddlx++eVMnjyZG2+8kddee40zzjiDSy65hIEDB7Jw4UJuuOGGNuurFCeoRFTzD43VrpfamFK9reWdERH827/9G/vuuy+HH344S5cu5ZVXXgFgxIgRLddqPvzhD/P8889vsr7vf//79O3bt+U/71NPPZW6ujoaGhr4l3/5Fw4++OCWlla5WForlxzGjRvHCy+8wKJFi/ja177GscceC8C6deuYP38+X/nKV1iwYAFbb701l1xyyQbbzpgxo83WE8DcuXP56Ec/CsCdd97ZkmjL+djHPgZkSa/UpZdeyh133EFTUxOnnHIK5557bkt8zzzzDPfccw8zZszg9NNPb7lW11pdXR1PPfUUP/zhD9liiy047LDDuPvuu1vWz5kzh4ULF/LQQw8BcOWVV3LkkUeyyy67tBlvOZ/61KcYM2YMZ511Ftdcc02ntq0UjySRiGr+obHatfPggSwt8x3ZuQITBd5www0sX76cefPm0a9fP4YPH95yE2b//v1byvXp06fdU3wAv/71r7n99tu5++67WxJL3759ufTSS1vKHHzwwW22Xurq6lpODUI22kbz6bFS2267bcvzI488kq9+9ausWLGCuro66urqWloVxx9//AYJat26ddxyyy3Mmzev7Ps/++yz7LLLLmy55ZYA3HXXXZtsNV544YUtSRlg+fLlLFq0qCWGE044oaVFVldXx0EHHUS/fv0YMWIEe++9N8888wz7779/2br79+/PxIkTmThxIu9///uZOXNmy+nS1h544AHuu+8+rrzySv72t7/xzjvvsM0222yUoFtbv349Tz75JAMHDuTVV1/doAVbFLegEtHWH5RK/KGx2lXNiQJXrVrFjjvuSL9+/ZgzZw4vvPBCl+q58847+dGPfsSsWbPYaqutWpa/9dZbLafZ/vjHP9K3b19GjRpVto6ddtqJQYMG8eCDDxIRXHfddRxzzDEblfvf//3fltbWww8/zPr16xkyZAgf+MAH2GWXXVquqdx9990bvNef/vQnRo4c2eYf4dLTe6tWrWLdunUMGTKk3f0eP348r732GosWLQJg++23Z9WqVTz99NMt+7zPPvsAcOyxxzJnzhwAVqxYwdNPP81uu+1Wtt758+e39LZbv349jz76KLvuumubcdxwww389a9/5fnnn+fHP/4xJ598ctnkNGjQIN58882W15deein77LMPM2bM4NRTT2Xt2rUA9OvXr+V5tbkFlYjzj9ibb97y2Aan+TwjqW1KNSYKXLduHf379+ekk07iM5/5DA0NDdTX1zNy5Mgu1Xf22WezZs0aPvWpTwFZR4mrrrqKZcuWccQRR7DFFlswbNgwrr/++nbr+cUvfsHkyZNZvXp1S+sB4KqrrgJgypQp3HzzzfziF7+gb9++DBw4kBtvvLGlxfbzn/+ck046iXfeeYfddtuNX/3qVy1133jjje2e3rvzzjv5+c9/DmSJ5fDDD+/Qvl944YUtibRv375cffXVHHfccWyxxRZsv/32XHvttQAcccQR3HXXXYwaNYo+ffowderUNhPgsmXLOOOMM1izZg0ABxxwQJtdxzfl9NNPZ8qUKTQ0NDB58mSmTJnCwIED+fWvf80111zDww8/zKBBg/j4xz/O9773Pb773e9y5plnsu+++zJu3LiqX4dSuXO7PUVDQ0O01eunJ5q5YKlnJDWefPLJlv+su8OiRYs444wzePjhh7sthpSsWbOGQw45pKWH4emnn87pp5/OQQcd1M2Rpanc91fSvIho6GxdbkElxDOSWne76qqr+NnPfsZll13W3aEko3///ht0f++uDgO9kROUmbWYMmUKU6ZM6dK2Z511FnPnzt1g2T//8z9zyimndKqeAw88sOX0VbPrr7+eMWPGdCmunuqxxx7jn/7pnzZY1r9//5beeb2BE5RZgiKix41ofsUVV1Sknt70B7g9Y8aMYeHChd0dRqdU+pJRIb34JF0raZmkxZsot7+kdyUdX0RcZikaMGAAK1eurPgvu1k1RT5h4YABAypWZ1EtqOnA5cB1bRWQ1Af4ETC7oJjMktR8z8/y5cu7OxSzTmme8r1SCklQEXGvpOGbKPY14HdA+TvTzHqJ5ps1zXq7JG7UlTQM+CxwVQfKnimpUVKj/8M0M6tdSSQo4DLgGxHx7qYKRsS0iGiIiIahQ4cWEJqZmXWHVHrxNQA35r2WdgCOlLQuIjo+nr6ZmdWUJBJURLSccJc0Hbi9I8lp3rx5KyR1bYCwytoBWNHdQWwm70MavA/pqIX9SGUf2h4ssB2FJChJM4BDgR0kNQHfAfoBRMQmrzu1JSKSOMcnqbErw3ikxPuQBu9DOmphP3r6PhTVi6/tURg3Lju5iqGYmVkPkUonCTMzsw04QVXGtO4OoAK8D2nwPqSjFvajR+9Dj55uw8zMapdbUGZmliQnKDMzS5ITVBmSJkh6StISSReUWd9f0n/l6x8qHWdQ0jfz5U9JOqKjdaayD5I+JWmepMfyn/9Qss09eZ0L88eOie7DcEmrS+K8qmSbD+f7tkTSz1TlOS02Yx9OKol/oaT1kurzdal9Dh+XNF/SutYzEUj6kqRn8seXSpan9jmU3QdJ9ZIekPS4pEclnVCybrqk50o+h/oU9yFf925JnLNKlo/Iv3fP5N/DLau5D50WEX6UPIA+wP8AuwFbAouAUa3KfBW4Kn9+IvBf+fNRefn+wIi8nj4dqTOhfRgL7Jw/Hw0sLdnmHqChB3wOw4HFbdT7MPARQMAfgIkp7kOrMmOAZxP+HIYD+5LNVnB8yfL3Ac/mP7fPn2+f6OfQ1j7sBeyZP98ZeBkYnL+eXlo21c8hX/e3Nuq9CTgxf34V8JUi9qejD7egNnYAsCQino2Id4AbgWNalTkG+HX+/GbgsPw/wGOAGyNiTUQ8ByzJ6+tInUnsQ0QsiIiX8uWPAwMk9a9irG3ZnM+hLEk7AdtGxAOR/UZeBxxb+dBbVGofJgEzqhhneza5DxHxfEQ8Cqxvte0RwB8j4tWIeA34IzAhxc+hrX2IiKcj4pn8+UvAMqA7BgjYnM+hrPx79g9k3zvIvofV/Bw6zQlqY8OAF0teN+XLypaJiHXAKmBIO9t2pM5K2px9KHUcsCAiSuff/lV+muDbVT4ts7n7MELSAkl/kfSxkvJNm6izkir1OZzAxgkqpc+hs9um+DlskqQDyFov/1Oy+Pv5qb9Lq/yP3ObuwwBls0A8KKk5CQ0BXs+/d12ps+qcoDZW7pe9dV/8tsp0dnm1bM4+ZCulD5FNIPnlkvUnRcQY4GP54582M872bM4+vAx8MCLGAucCv5G0bQfrrKRKfA4HAm9FROls1Kl9Dp3dNsXPof0Kslbf9cApEdHcQvkmMJJsDrv3Ad/YnCA3FUKZZZ3Zhw9GNuTRF4DLJO1egTqrzglqY03ALiWv64CX2iojqS+wHfBqO9t2pM5K2px9QFId8Hvg5Iho+W8xIpbmP98EfkN22qFaurwP+SnWlXms88j+490rL1863WfSn0PuRFq1nhL8HDq7bYqfQ5vyf27+G/hWRDzYvDwiXo7MGuBXpPs5NJ+eJCKeJbuGOZZsENnB+feu03UWwQlqY48Ae+a9W7Yk+wMxq1WZWUBzj6TjgT/n59JnASfmPbNGAHuSXQzuSJ1J7IOkwWS/jN+MiLnNhSX1lbRD/rwf8GlgMdWzOfswVFKfPNbdyD6HZyPiZeBNSQflp8VOBm5NcR/y2LcAPkd2vYF8WYqfQ1tmA+MlbS9pe2A8MDvRz6GsvPzvgesi4ret1u2U/xTZtZskP4f8+PfPn+8AHAI8kX/P5pB97yD7Hlbzc+i87u6lkeIDOBJ4muw/7wvzZRcDR+fPBwC/JesE8TCwW8m2F+bbPUVJz6Rydaa4D8C3gL8DC0seOwJbA/OAR8k6T/wU6JPoPhyXx7gImA98pqTOBrI/JP8DXE4+mkpq+5CvOxR4sFV9KX4O+5P9h/93YCXweMm2p+b7toTs9Fiqn0PZfQC+CKxt9ftQn6/7M/BYvh//B9gm0X04OFqHBAUAABHaSURBVI9zUf7ztJI6d8u/d0vy72H/au5DZx8e6sjMzJLkU3xmZpYkJygzM0uSE5SZmSXJCcrMzJLkBGVmZklygjIzsyQ5QZl1kKTBkr5a8npnSTe3t81mvNexki6qYH0/VsnUKWY9ge+DMusgZXM13R4Rowt4r/vJbsBcUaH6dgWujojxlajPrAhuQZl13CXA7vko4lOVTYy4GEDSZEkzJd2mbBK7syWdm4+o/qCk9+Xldpd0p7LJIO+TNLL1m0jaC1jTnJwkfU7SYkmLJN2bL+uTx/BIPpr2l0u2/7qyyQAXSboEICJeAIZI+kDVj5JZhfTddBEzy10AjI6I5plth7daP5psEM4BZEPHfCMixkq6lGy8ucuAacCUiHgmH6n8SrI5eUodQjZEU7OLgCMiYmk+ViLAacCqiNg/H2dtrqS7yEbXPhY4MCLeak6Mufl53b/r8hEwK5ATlFnlzIlshPE3Ja0CbsuXPwbsK2kbsnHRflsyhVO5OYR2ApaXvJ4LTJd0E3BLvmx8XmfzQJ/bkQ2Kezjwq4h4CyAiSkdGX0Y2K6xZj+AEZVY5pRM7ri95vZ7sd20Lsgni6jdRz2qyhANAREzJW1tHAQsl1ZPN5fO1iJhduqGkCbQ9p8+AvG6zHsHXoMw67k1gUFc3jog3gOckfQ6yaRok7Vem6JPAHs0vJO0eEQ9FxEVkc/jsQjaVxVfyKTeQtJekrYG7gFMlbZUvLz3FtxfVnRLCrKKcoMw6KLJJEOfmHRamdrGak4DTJC0imy7jmDJl7gXG6r3zgFPzTg+L83WLgGuAJ4D5+fJfAn0j4k6yeYIaJS0E/hVa5o7aA2jsYtxmhXM3c7MESfopcFtE/KlC9X0WGBcR365EfWZFcAvKLE0/ALaqYH19gZ9UsD6zqnMLyszMkuQWlJmZJckJyszMkuQEZWZmSXKCMjOzJDlBmZlZkpygzMwsSU5QZmaWJCcoMzNLkhOUmZklqZAEJelaScuaZx8ts16SfiZpST476Lgi4jIzs3QV1YKaDkxoZ/1EssnW9gTOBH5RQExmZpawQhJURNwLvNpOkWOA6yLzIDBY0k5FxGZmZmlKZUbdYcCLJa+b8mUvty4o6UyyVhZbb731h0eOHFlIgGZm1jXz5s1bERFDO7tdKglKZZaVHWY9IqYB0wAaGhqisdHzr5mZpUzSC13ZLpVefE1k01g3qwNe6qZYzMwsAakkqFnAyXlvvoOAVRGx0ek9MzPrPQo5xSdpBnAosIOkJuA7QD+AiLgKuAM4ElgCvAWcUkRcZmaWrkISVERM2sT6AM4qIhYzM+u6tWvX0tTUxNtvv73RugEDBlBXV0e/fv0q8l6pdJIwM7MeoKmpiUGDBjF8+HCk9/q3RQQrV66kqamJESNGVOS9UrkGZWZmPcDbb7/NkCFDNkhOAJIYMmRI2ZZVVzlBmZlZp7ROTpta3lVOUGZmliQnKDMzS5ITlJmZdUrW8brjy7vKCcrMzDpswIABrFy5cqNk1NyLb8CAARV7L3czNzOzDqurq6OpqYnly5dvtK75PqhKcYIyM7MO69evX8Xuc9oUn+IzM7MkOUGZmVmSnKDMzCxJTlBmZpYkJygzM0uSE5SZmSXJCcrMzJLkBGVmZkkqLEFJmiDpKUlLJF1QZv0HJc2RtEDSo5KOLCo2MzNLTyEJSlIf4ApgIjAKmCRpVKti3wJuioixwInAlUXEZmZmaSqqBXUAsCQino2Id4AbgWNalQlg2/z5dsBLBcVmZmYJKmosvmHAiyWvm4ADW5X5d+AuSV8DtgYOLyY0MzNLUVEtqHLzALeeOGQSMD0i6oAjgeslbRSfpDMlNUpqLDearpmZ1YaiElQTsEvJ6zo2PoV3GnATQEQ8AAwAdmhdUURMi4iGiGgYOnRolcI1M7PuVlSCegTYU9IISVuSdYKY1arMX4HDACTtQ5ag3EQyM+ulCklQEbEOOBuYDTxJ1lvvcUkXSzo6L3YecIakRcAMYHJUev5gMzPrMQqbsDAi7gDuaLXsopLnTwCHFBWPmZmlzSNJmJlZkpygzMwsSU5QZmaWJCcoMzNLkhOUmZklyQnKzMyS5ARlZmZJcoIyM7MkOUGZmVmSnKDMzCxJTlBmZpYkJygzM0uSE5SZmSXJCcrMzJLkBGVmZklygjIzsyQ5QZmZWZKcoMzMLEmFJShJEyQ9JWmJpAvaKPN5SU9IelzSb4qKzczM0tO3iDeR1Ae4AvgU0AQ8ImlWRDxRUmZP4JvAIRHxmqQdi4jNzMzSVFQL6gBgSUQ8GxHvADcCx7QqcwZwRUS8BhARywqKzczMElRUghoGvFjyuilfVmovYC9JcyU9KGlCuYoknSmpUVLj8uXLqxSumZl1t6ISlMosi1av+wJ7AocCk4BrJA3eaKOIaRHREBENQ4cOrXigZmaWhqISVBOwS8nrOuClMmVujYi1EfEc8BRZwjIzs16oqAT1CLCnpBGStgROBGa1KjMT+CSApB3ITvk9W1B8ZmaWmEISVESsA84GZgNPAjdFxOOSLpZ0dF5sNrBS0hPAHOD8iFhZRHxmZpYeRbS+FNRzNDQ0RGNjY3eHYWZm7ZA0LyIaOrudR5IwM7MkOUGZmVmSnKDMzCxJTlBmZpYkJygzM0uSE5SZmSXJCcrMzJLkBGVmZklygjIzsyQ5QZmZWZKcoMzMLElOUGZmliQnKDMzS5ITlJmZJckJyszMkuQEZWZmSXKCMjOzJBWWoCRNkPSUpCWSLmin3PGSQlKnZ180M7PaUUiCktQHuAKYCIwCJkkaVabcIOAc4KEi4jIzs3QV1YI6AFgSEc9GxDvAjcAxZcr9B/CfwNsFxWVmZokqKkENA14sed2UL2shaSywS0Tc3l5Fks6U1Cipcfny5ZWP1MzMklBUglKZZdGyUtoCuBQ4b1MVRcS0iGiIiIahQ4dWMEQzM0tJUQmqCdil5HUd8FLJ60HAaOAeSc8DBwGz3FHCzKz3KipBPQLsKWmEpC2BE4FZzSsjYlVE7BARwyNiOPAgcHRENBYUn5mZJaaQBBUR64CzgdnAk8BNEfG4pIslHV1EDGZm1rP0LeqNIuIO4I5Wyy5qo+yhRcRkZmbp8kgSZmaWJCcoMzNLkhOUmZklyQnKzMyS5ARlZmZJcoIyM7MkOUGZmVmSnKDMzCxJTlBmZpYkJygzM0uSE5SZmSXJCcrMzJLkBGVmZklygjIzsyQ5QZmZWZKcoMzMLElOUGZmlqTCEpSkCZKekrRE0gVl1p8r6QlJj0q6W9KuRcVmZmbpKSRBSeoDXAFMBEYBkySNalVsAdAQEfsCNwP/WURsZmaWpqJaUAcASyLi2Yh4B7gROKa0QETMiYi38pcPAnUFxWZmZgkqKkENA14sed2UL2vLacAfyq2QdKakRkmNy5cvr2CIZmaWkqISlMosi7IFpS8CDcDUcusjYlpENEREw9ChQysYopmZpaRvQe/TBOxS8roOeKl1IUmHAxcCn4iINQXFZmZmCSqqBfUIsKekEZK2BE4EZpUWkDQW+CVwdEQsKyguMzNLVCEJKiLWAWcDs4EngZsi4nFJF0s6Oi82FdgG+K2khZJmtVGdmZn1AkWd4iMi7gDuaLXsopLnhxcVi5mZpc8jSZiZWZKcoMzMLElOUGZmliQnKDMzS5ITlJmZJckJyszMkuQEZWZmSXKCMjOzJDlBmZlZkpygzMwsSU5QZmaWJCcoMzNLkhOUmZklyQnKzMyS5ARlZmZJcoIyM7MkOUGZmVmSnKDMzCxJhSUoSRMkPSVpiaQLyqzvL+m/8vUPSRpeVGxmZpaeQhKUpD7AFcBEYBQwSdKoVsVOA16LiD2AS4EfFRGbmZmlqagW1AHAkoh4NiLeAW4EjmlV5hjg1/nzm4HDJKmg+MzMLDF9C3qfYcCLJa+bgAPbKhMR6yStAoYAK0oLSToTODN/uUbS4qpEXDt2oNUxtA34+Gyaj1H7fHw2be+ubFRUgirXEooulCEipgHTACQ1RkTD5odXu3yM2ufjs2k+Ru3z8dk0SY1d2a6oU3xNwC4lr+uAl9oqI6kvsB3waiHRmZlZcopKUI8Ae0oaIWlL4ERgVqsys4Av5c+PB/4cERu1oMzMrHco5BRffk3pbGA20Ae4NiIel3Qx0BgRs4D/D7he0hKyltOJHah6WtWCrh0+Ru3z8dk0H6P2+fhsWpeOkdxIMTOzFHkkCTMzS5ITlJmZJalHJCgPk9S+DhyfcyU9IelRSXdL2rU74uxOmzpGJeWOlxSSelW34Y4cH0mfz79Hj0v6TdExdrcO/J59UNIcSQvy37UjuyPO7iLpWknL2ro3VZmf5cfvUUnjNllpRCT9IOtU8T/AbsCWwCJgVKsyXwWuyp+fCPxXd8ed2PH5JLBV/vwrven4dPQY5eUGAfcCDwIN3R13SscH2BNYAGyfv96xu+NO8BhNA76SPx8FPN/dcRd8jD4OjAMWt7H+SOAPZPe8HgQ8tKk6e0ILysMktW+Txyci5kTEW/nLB8nuQ+tNOvIdAvgP4D+Bt4sMLgEdOT5nAFdExGsAEbGs4Bi7W0eOUQDb5s+3Y+N7PWtaRNxL+/euHgNcF5kHgcGSdmqvzp6QoMoNkzSsrTIRsQ5oHiapN+jI8Sl1Gtl/Mb3JJo+RpLHALhFxe5GBJaIj36G9gL0kzZX0oKQJhUWXho4co38HviipCbgD+FoxofUYnf1bVdhQR5ujYsMk1agO77ukLwINwCeqGlF62j1GkrYgG0F/clEBJaYj36G+ZKf5DiVrgd8naXREvF7l2FLRkWM0CZgeET+R9BGy+zpHR8T66ofXI3T673RPaEF5mKT2deT4IOlw4ELg6IhYU1BsqdjUMRoEjAbukfQ82fnxWb2oo0RHf8dujYi1EfEc8BRZwuotOnKMTgNuAoiIB4ABZAPJWqZDf6tK9YQE5WGS2rfJ45OfvvolWXLqbdcOYBPHKCJWRcQOETE8IoaTXac7OiK6NMBlD9SR37GZZJ1tkLQD2Sm/ZwuNsnt15Bj9FTgMQNI+ZAlqeaFRpm0WcHLem+8gYFVEvNzeBsmf4ovqDZNUEzp4fKYC2wC/zfuO/DUiju62oAvWwWPUa3Xw+MwGxkt6AngXOD8iVnZf1MXq4DE6D7ha0v9Ddupqci/6RxlJM8hOAe+QX4f7DtAPICKuIrsudySwBHgLOGWTdfai42dmZj1ITzjFZ2ZmvZATlJmZJckJyszMkuQEZWZmSXKCMjOzJDlBmXWQpMGSvlryemdJN1fpvY6VdFEF6/uxpH+oVH1mRXA3c7MOyqdxuT0iRhfwXveT3Sy8okL17QpcHRHjK1GfWRHcgjLruEuA3SUtlDRV0vDmuW8kTZY0U9Jtkp6TdHY+D9eCfHDV9+Xldpd0p6R5ku6TNLL1m0jaC1jTnJwkfU7SYkmLJN2bL+uTx/BIPrfOl0u2/7qkx/LylwBExAvAEEkfqPpRMquQ5EeSMEvIBcDoiKiHlhZVqdHAWLIhbpYA34iIsZIuBU4GLiObM2hKRDwj6UDgSqD1qbdDgPklry8CjoiIpZIG58tOIxsqZn9J/YG5ku4CRgLHAgdGxFvNiTE3P6/7d10+AmYFcoIyq5w5EfEm8KakVcBt+fLHgH0lbQMczHtDTgH0L1PPTmw4httcYLqkm4Bb8mXj8zqPz19vRzZ46+HAr5rn/4qI0kGTlwE7b8b+mRXKCcqsckpHiV9f8no92e/aFsDrzS2wdqwmSzgARMSUvLV1FLBQUj3Z1AVfi4jZpRvm8zS1dWF5QF63WY/ga1BmHfcm2dQcXRIRbwDPSfocQD6q835lij4J7NH8QtLuEfFQRFwErCCbsmA28BVJ/fIye0naGrgLOFXSVvny0lN8ewGLuxq/WdGcoMw6KB+9e27eYWFqF6s5CThN0iLgccpPPX8vMFbvnQecmnd6WJyvWwRcAzwBzM+X/xLoGxF3kk1r0ChpIfCvAHki2wPoLVOIWA1wN3OzBEn6KXBbRPypQvV9FhgXEd+uRH1mRXALyixNPwC2qmB9fYGfVLA+s6pzC8rMzJLkFpSZmSXJCcrMzJLkBGVmZklygjIzsyQ5QZmZWZL+L0fVRDJ6GSoEAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 6.5 --> Field = 980.0732 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 53 $$$ 53 $$$ 53 $$$ 53 $$$ 53 $$$ 53 $$$ 53 $$$ 53 $$$ 53 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 178.837912437E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 105.39929244k\n",
      "TOTAL Na num = 105.39929244k\n",
      "\n",
      "init mol temp/init Na temp = 1.19833994128\n",
      "init mol temp = 1.90847619048e-06 uk\n",
      "init na temp = 1.5926e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 3.02613169833\n",
      "\n",
      "init na num = 140.420165732 at 1.5926 uk\n",
      "init Na density = 1.93528679856e+11 cm^-3 (6.19243694107 %)\n",
      "\n",
      "init overlap density = 1.44749958499e+11 cm^-3 (9.0644007361 %) (34.2222641084 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.747950942498\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 24.6746462208 at 1.90847619048 uk\n",
      "init molecule density = 1.82678003759e+11 cm^-3 (8.84359271535 %)\n",
      "two-body rate coefficient = 2.99254256256e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.105226662726\n",
      "loss rate coefficient = 5.36318846006e-10 (13.8884796212 %) (35.8034895812 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 89.0057602703\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0792061739448\n",
      "\n",
      "loss rate from EXP fit = 77.9820478142\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.99254256256e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.103545982774\n",
      "loss rate coefficient = 5.56416931763e-10 (12.3115255917 %) (35.2217782401 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.99254256256e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.107457861497\n",
      "loss rate coefficient = 5.71491385648e-10 (12.6423050463 %) (35.3387588475 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 6.75 --> Field = 980.5532 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 54 $$$ 54 $$$ 54 $$$ 54 $$$ 54 $$$ 54 $$$ 54 $$$ 54 $$$ 54 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 166.309945585E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 97.2990826368k\n",
      "TOTAL Na num = 97.2990826368k\n",
      "\n",
      "init mol temp/init Na temp = 1.10237256527\n",
      "init mol temp = 1.77335e-06 uk\n",
      "init na temp = 1.60866666667e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.95164410588\n",
      "\n",
      "init na num = 129.628510715 at 1.60866666667 uk\n",
      "init Na density = 1.75985690757e+11 cm^-3 (6.33057391181 %)\n",
      "\n",
      "init overlap density = 1.36513923659e+11 cm^-3 (8.8778028595 %) (34.1733139103 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.775710360724\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 25.1013775245 at 1.77335 uk\n",
      "init molecule density = 2.07477644363e+11 cm^-3 (8.67685174264 %)\n",
      "two-body rate coefficient = 2.7806610215e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0709252712505\n",
      "loss rate coefficient = 4.25199349638e-10 (11.3630684514 %) (34.9015662203 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 60.3679658405\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0599723409143\n",
      "\n",
      "loss rate from EXP fit = 58.4487521714\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.7806610215e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0707577858353\n",
      "loss rate coefficient = 4.3759827313e-10 (9.45762921082 %) (34.3285122062 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.7806610215e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0742848817273\n",
      "loss rate coefficient = 4.52410247348e-10 (9.72432744505 %) (34.4029438313 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.547\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 4.5 --> Field = 976.2332 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 55 $$$ 55 $$$ 55 $$$ 55 $$$ 55 $$$ 55 $$$ 55 $$$ 55 $$$ 55 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 178.70907562E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 92.7089176137k\n",
      "TOTAL Na num = 92.7089176137k\n",
      "\n",
      "init mol temp/init Na temp = 1.41582989782\n",
      "init mol temp = 2.23783333333e-06 uk\n",
      "init na temp = 1.58058064516e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.13033589192\n",
      "\n",
      "init na num = 128.029199211 at 1.58058064516 uk\n",
      "init Na density = 1.78467836847e+11 cm^-3 (7.70827077705 %)\n",
      "\n",
      "init overlap density = 1.23290049606e+11 cm^-3 (11.6006216738 %) (34.979628689 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.690825034831\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 19.9898189555 at 2.23783333333 uk\n",
      "init molecule density = 1.16555479368e+11 cm^-3 (19.1919212302 %)\n",
      "two-body rate coefficient = 3.50898351855e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.132579913703\n",
      "loss rate coefficient = 4.76743094928e-10 (17.6167181505 %) (37.4078702734 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 62.0272946883\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0979947877588\n",
      "\n",
      "loss rate from EXP fit = 59.0641305825\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.50898351855e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.132579820295\n",
      "loss rate coefficient = 4.76743088127e-10 (16.3764825394 %) (36.8400485934 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.50898351855e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.137988972247\n",
      "loss rate coefficient = 4.99277863582e-10 (16.8173915184 %) (37.0381513778 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 4.5 --> Field = 976.2332 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 56 $$$ 56 $$$ 56 $$$ 56 $$$ 56 $$$ 56 $$$ 56 $$$ 56 $$$ 56 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 201.588954469E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 110.672078659k\n",
      "TOTAL Na num = 110.672078659k\n",
      "\n",
      "init mol temp/init Na temp = 1.25710149782\n",
      "init mol temp = 1.9459e-06 uk\n",
      "init na temp = 1.54792592593e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.3352958749\n",
      "\n",
      "init na num = 152.835972745 at 1.54792592593 uk\n",
      "init Na density = 2.19824575929e+11 cm^-3 (8.8541610098 %)\n",
      "\n",
      "init overlap density = 1.60858910058e+11 cm^-3 (10.5987595235 %) (34.6602611565 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.731760356538\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 26.3586397246 at 1.9459 uk\n",
      "init molecule density = 1.89542960163e+11 cm^-3 (9.70067040414 %)\n",
      "two-body rate coefficient = 3.05122411353e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.105220411393\n",
      "loss rate coefficient = 4.91928417022e-10 (14.9347598968 %) (36.222190066 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 77.7161207591\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0874785358499\n",
      "\n",
      "loss rate from EXP fit = 79.5442044981\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.05122411353e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.105268385048\n",
      "loss rate coefficient = 4.93399472882e-10 (13.1757948168 %) (35.5331052549 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.05122411353e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.111078765887\n",
      "loss rate coefficient = 5.18947029772e-10 (13.644492019 %) (35.7095528179 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 5.25 --> Field = 977.6732 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 57 $$$ 57 $$$ 57 $$$ 57 $$$ 57 $$$ 57 $$$ 57 $$$ 57 $$$ 57 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 173.81557912E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 105.551537744k\n",
      "TOTAL Na num = 105.551537744k\n",
      "\n",
      "init mol temp/init Na temp = 1.18676772095\n",
      "init mol temp = 1.78672222222e-06 uk\n",
      "init na temp = 1.50553658537e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.23014636616\n",
      "\n",
      "init na num = 145.764606046 at 1.50553658537 uk\n",
      "init Na density = 2.18570241823e+11 cm^-3 (7.26070743589 %)\n",
      "\n",
      "init overlap density = 1.6419212347e+11 cm^-3 (10.2921885069 %) (34.5677471679 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.751209872397\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 16.6242045449 at 1.78672222222 uk\n",
      "init molecule density = 1.35869118346e+11 cm^-3 (16.9087784932 %)\n",
      "two-body rate coefficient = 2.80162902957e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0783835322123\n",
      "loss rate coefficient = 6.93256847331e-10 (12.9371142641 %) (35.4452948285 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 121.902445205\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0585389128748\n",
      "\n",
      "loss rate from EXP fit = 114.055932229\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.80162902957e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0779088771806\n",
      "loss rate coefficient = 7.53868653492e-10 (11.1495834402 %) (34.8326457636 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.80162902957e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0805522772016\n",
      "loss rate coefficient = 7.25395253597e-10 (11.3358710772 %) (34.8927209183 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 5.826 --> Field = 978.77912 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 58 $$$ 58 $$$ 58 $$$ 58 $$$ 58 $$$ 58 $$$ 58 $$$ 58 $$$ 58 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 183.245873202E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 100.712616262k\n",
      "TOTAL Na num = 100.712616262k\n",
      "\n",
      "init mol temp/init Na temp = 1.22120750888\n",
      "init mol temp = 2.00583333333e-06 uk\n",
      "init na temp = 1.6425e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.41343875039\n",
      "\n",
      "init na num = 139.082150266 at 1.6425 uk\n",
      "init Na density = 1.83016079995e+11 cm^-3 (7.60621040329 %)\n",
      "\n",
      "init overlap density = 1.35721049252e+11 cm^-3 (10.0703623752 %) (34.5023506209 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.741579916124\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 17.9302909097 at 2.00583333333 uk\n",
      "init molecule density = 1.23199944264e+11 cm^-3 (11.1899372221 %)\n",
      "two-body rate coefficient = 3.14520120993e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0823542045003\n",
      "loss rate coefficient = 8.13317619243e-10 (13.0090102758 %) (35.4715991796 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 114.769526366\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0632127714728\n",
      "\n",
      "loss rate from EXP fit = 110.622636643\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.14520120993e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0823456750738\n",
      "loss rate coefficient = 8.16293110616e-10 (11.1514897126 %) (34.8332559892 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.14520120993e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.085337461969\n",
      "loss rate coefficient = 8.55836516038e-10 (11.3742008479 %) (34.9051922345 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 6.5 --> Field = 980.0732 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 59 $$$ 59 $$$ 59 $$$ 59 $$$ 59 $$$ 59 $$$ 59 $$$ 59 $$$ 59 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 198.517133099E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 117.430232588k\n",
      "TOTAL Na num = 117.430232588k\n",
      "\n",
      "init mol temp/init Na temp = 1.3608318168\n",
      "init mol temp = 1.99407222222e-06 uk\n",
      "init na temp = 1.46533333333e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.04738665512\n",
      "\n",
      "init na num = 162.168850941 at 1.46533333333 uk\n",
      "init Na density = 2.53243738334e+11 cm^-3 (8.88159160689 %)\n",
      "\n",
      "init overlap density = 1.78427240988e+11 cm^-3 (11.7759707724 %) (35.0381718649 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.704567236929\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 25.6393240355 at 1.99407222222 uk\n",
      "init molecule density = 1.77729978096e+11 cm^-3 (18.3781692904 %)\n",
      "two-body rate coefficient = 3.12675946789e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.104078652722\n",
      "loss rate coefficient = 5.5960461523e-10 (15.7161428842 %) (36.5512947398 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 109.449200248\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0771326121401\n",
      "\n",
      "loss rate from EXP fit = 100.195864932\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.12675946789e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.10268517017\n",
      "loss rate coefficient = 5.98257705884e-10 (14.0625956609 %) (35.8713896681 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 3.12675946789e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.107445527782\n",
      "loss rate coefficient = 5.94125463827e-10 (14.4138672603 %) (36.0105480297 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.66\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 10.0 --> Field = 986.7932 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 60 $$$ 60 $$$ 60 $$$ 60 $$$ 60 $$$ 60 $$$ 60 $$$ 60 $$$ 60 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 348.197118442E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 235.266585636k\n",
      "TOTAL Na num = 235.266585636k\n",
      "\n",
      "init mol temp/init Na temp = 1.23773300041\n",
      "init mol temp = 1.5225e-06 uk\n",
      "init na temp = 1.23007142857e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.4507413976\n",
      "\n",
      "init na num = 269.271976994 at 1.23007142857 uk\n",
      "init Na density = 5.46728334807e+11 cm^-3 (6.79428815463 %)\n",
      "\n",
      "init overlap density = 4.02956228462e+11 cm^-3 (10.1280560625 %) (34.519234053 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.737031909282\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 16.0432509322 at 1.5225 uk\n",
      "init molecule density = 1.66694728578e+11 cm^-3 (15.3486974692 %)\n",
      "two-body rate coefficient = 2.38732140031e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.141023343057\n",
      "loss rate coefficient = 4.71337792331e-11 (17.3624120581 %) (37.2887831992 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 19.0224713212\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.106353169295\n",
      "\n",
      "loss rate from EXP fit = 19.2736605601\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.38732140031e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.141139014627\n",
      "loss rate coefficient = 4.80541013033e-11 (16.1213286474 %) (36.7273363771 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.38732140031e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.143207278672\n",
      "loss rate coefficient = 4.79873625528e-11 (16.3027074287 %) (36.8073127178 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 10.0 --> Field = 986.7932 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 61 $$$ 61 $$$ 61 $$$ 61 $$$ 61 $$$ 61 $$$ 61 $$$ 61 $$$ 61 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 207.048269927E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 142.323619327k\n",
      "TOTAL Na num = 142.323619327k\n",
      "\n",
      "init mol temp/init Na temp = 1.17591190737\n",
      "init mol temp = 1.613125e-06 uk\n",
      "init na temp = 1.37180769231e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.27104818107\n",
      "\n",
      "init na num = 162.895050505 at 1.37180769231 uk\n",
      "init Na density = 2.80830296101e+11 cm^-3 (10.6254981024 %)\n",
      "\n",
      "init overlap density = 2.1182709709e+11 cm^-3 (11.1090542896 %) (34.8196939563 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.754288622099\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 26.6492095535 at 1.613125 uk\n",
      "init molecule density = 2.53891254164e+11 cm^-3 (8.29804406071 %)\n",
      "two-body rate coefficient = 2.52942386461e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0827141410666\n",
      "loss rate coefficient = 4.02767815315e-11 (13.8501761192 %) (35.7886487386 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 9.54210147791\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.058785262548\n",
      "\n",
      "loss rate from EXP fit = 8.93499407069\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.52942386461e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0822345594543\n",
      "loss rate coefficient = 4.15216750191e-11 (11.8157368222 %) (35.0515568363 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.52942386461e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0856723531533\n",
      "loss rate coefficient = 4.28101228791e-11 (12.057525862 %) (35.133800391 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 5.93 --> Field = 978.9788 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 62 $$$ 62 $$$ 62 $$$ 62 $$$ 62 $$$ 62 $$$ 62 $$$ 62 $$$ 62 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 133.564864014E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 102.111121152k\n",
      "TOTAL Na num = 102.111121152k\n",
      "\n",
      "init mol temp/init Na temp = 1.11641756527\n",
      "init mol temp = 1.56861111111e-06 uk\n",
      "init na temp = 1.40503979865e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.19440224204\n",
      "\n",
      "init na num = 116.870244839 at 1.40503979865 uk\n",
      "init Na density = 1.94377921857e+11 cm^-3 (9.35518270166 %)\n",
      "\n",
      "init overlap density = 1.49970602711e+11 cm^-3 (11.060444621 %) (34.8042157678 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.771541342133\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 13.9032559966 at 1.56861111111 uk\n",
      "init molecule density = 1.38136685376e+11 cm^-3 (12.0563381393 %)\n",
      "two-body rate coefficient = 2.4596248764e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.140899777376\n",
      "loss rate coefficient = 4.24847751177e-10 (17.9125907635 %) (37.5481145713 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 68.7310127678\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0981354427092\n",
      "\n",
      "loss rate from EXP fit = 63.9322798511\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4596248764e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.140878846879\n",
      "loss rate coefficient = 4.77987820105e-10 (16.0027652875 %) (36.6754481479 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4596248764e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.145211821765\n",
      "loss rate coefficient = 4.42800537302e-10 (16.3855037662 %) (36.8440596796 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 6.75 --> Field = 980.5532 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 63 $$$ 63 $$$ 63 $$$ 63 $$$ 63 $$$ 63 $$$ 63 $$$ 63 $$$ 63 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 161.576656228E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 109.615051078k\n",
      "TOTAL Na num = 109.615051078k\n",
      "\n",
      "init mol temp/init Na temp = 1.14748135508\n",
      "init mol temp = 1.59258333333e-06 uk\n",
      "init na temp = 1.38789473684e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.11281607507\n",
      "\n",
      "init na num = 125.458791491 at 1.38789473684 uk\n",
      "init Na density = 2.12540758657e+11 cm^-3 (10.2026130861 %)\n",
      "\n",
      "init overlap density = 1.62052144316e+11 cm^-3 (11.316801297 %) (34.8865302315 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.762452083735\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 18.9205176956 at 1.59258333333 uk\n",
      "init molecule density = 1.83757556581e+11 cm^-3 (12.5471224965 %)\n",
      "two-body rate coefficient = 2.4972139727e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0994580912527\n",
      "loss rate coefficient = 3.84828098393e-10 (15.0661577966 %) (36.2765642082 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 65.5703317978\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0779796668956\n",
      "\n",
      "loss rate from EXP fit = 62.6590242633\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4972139727e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0990403999252\n",
      "loss rate coefficient = 3.92860463689e-10 (12.908194517 %) (35.4347496914 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4972139727e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.102812984597\n",
      "loss rate coefficient = 4.0687955884e-10 (13.1998702847 %) (35.5420395523 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 7.5 --> Field = 981.9932 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 64 $$$ 64 $$$ 64 $$$ 64 $$$ 64 $$$ 64 $$$ 64 $$$ 64 $$$ 64 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 153.045941027E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 119.151914618k\n",
      "TOTAL Na num = 119.151914618k\n",
      "\n",
      "init mol temp/init Na temp = 1.28724027174\n",
      "init mol temp = 1.57244444444e-06 uk\n",
      "init na temp = 1.2215625e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.78699972177\n",
      "\n",
      "init na num = 136.374111628 at 1.2215625 uk\n",
      "init Na density = 2.7979137094e+11 cm^-3 (9.6632255222 %)\n",
      "\n",
      "init overlap density = 2.02479821742e+11 cm^-3 (10.9321208512 %) (34.7636486334 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.723681438287\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 21.7737222745 at 1.57244444444 uk\n",
      "init molecule density = 2.15543611508e+11 cm^-3 (6.74606980128 %)\n",
      "two-body rate coefficient = 2.4656356473e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.119592820549\n",
      "loss rate coefficient = 1.66130057035e-10 (16.2029532362 %) (36.7632383445 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 39.0493037205\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0859756673531\n",
      "\n",
      "loss rate from EXP fit = 33.9498625338\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4656356473e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.108036994985\n",
      "loss rate coefficient = 1.89826028355e-10 (13.4009353925 %) (35.6172018749 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.4656356473e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.119810381469\n",
      "loss rate coefficient = 1.77727692363e-10 (14.3669906946 %) (35.9918104799 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 7.5 --> Field = 981.9932 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 65 $$$ 65 $$$ 65 $$$ 65 $$$ 65 $$$ 65 $$$ 65 $$$ 65 $$$ 65 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 182.180721832E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 133.264828228k\n",
      "TOTAL Na num = 133.264828228k\n",
      "\n",
      "init mol temp/init Na temp = 1.06786133385\n",
      "init mol temp = 1.605875e-06 uk\n",
      "init na temp = 1.50382352941e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.24007375591\n",
      "\n",
      "init na num = 152.526903316 at 1.50382352941 uk\n",
      "init Na density = 2.29101039364e+11 cm^-3 (9.77224193063 %)\n",
      "\n",
      "init overlap density = 1.80099871286e+11 cm^-3 (10.5699171688 %) (34.6514523354 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.786115470214\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 13.2722445583 at 1.605875 uk\n",
      "init molecule density = 1.27304047467e+11 cm^-3 (10.4710147434 %)\n",
      "two-body rate coefficient = 2.51805566747e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.139875750253\n",
      "loss rate coefficient = 1.45547232743e-10 (17.5321249152 %) (37.3681067763 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 25.3571710665\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.114728687636\n",
      "\n",
      "loss rate from EXP fit = 26.4444104169\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.51805566747e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.141787039391\n",
      "loss rate coefficient = 1.58577146905e-10 (16.1605976087 %) (36.7445902831 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.51805566747e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.143456715628\n",
      "loss rate coefficient = 1.49351916713e-10 (16.3072855579 %) (36.8093406932 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.635\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 20.5, sf = 6.59 --> Field = 924.42752 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 66 $$$ 66 $$$ 66 $$$ 66 $$$ 66 $$$ 66 $$$ 66 $$$ 66 $$$ 66 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1241.03409039 for Na num 611.71588711E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 401.249486104k\n",
      "TOTAL Na num = 401.249486104k\n",
      "\n",
      "init mol temp/init Na temp = 1.13821385999\n",
      "init mol temp = 1.40045833333e-06 uk\n",
      "init na temp = 1.2304e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 2.69762356735\n",
      "\n",
      "init na num = 509.163252959 at 1.2304 uk\n",
      "init Na density = 1.03338817752e+12 cm^-3 (6.51740189951 %)\n",
      "\n",
      "init overlap density = 7.90691792961e+11 cm^-3 (8.98038373152 %) (34.2001066075 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.765144996007\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 21.769675203 at 1.40045833333 uk\n",
      "init molecule density = 2.56396506341e+11 cm^-3 (8.06940635963 %)\n",
      "two-body rate coefficient = 2.19595674838e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0785255433239\n",
      "loss rate coefficient = 8.17830365394e-12 (11.9293713794 %) (35.0900256698 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 6.8755663238\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0600406576292\n",
      "\n",
      "loss rate from EXP fit = 6.80478200461\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.19595674838e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0785036464481\n",
      "loss rate coefficient = 8.37141641207e-12 (10.1399589797 %) (34.5227282831 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.19595674838e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0794128287279\n",
      "loss rate coefficient = 8.31559755853e-12 (10.2105101106 %) (34.5435162761 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 4.5 --> Field = 976.2332 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 67 $$$ 67 $$$ 67 $$$ 67 $$$ 67 $$$ 67 $$$ 67 $$$ 67 $$$ 67 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 130.821339612E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 78.1580076887k\n",
      "TOTAL Na num = 78.1580076887k\n",
      "\n",
      "init mol temp/init Na temp = 1.15357161406\n",
      "init mol temp = 1.60953333333e-06 uk\n",
      "init na temp = 1.39526086957e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.16358859089\n",
      "\n",
      "init na num = 92.9768010474 at 1.39526086957 uk\n",
      "init Na density = 1.56267044357e+11 cm^-3 (8.94679914017 %)\n",
      "\n",
      "init overlap density = 1.1887093257e+11 cm^-3 (10.7219360692 %) (34.698125498 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.760690989324\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 14.604775721 at 1.60953333333 uk\n",
      "init molecule density = 1.39608021045e+11 cm^-3 (13.3697522823 %)\n",
      "two-body rate coefficient = 2.52379203361e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.120480448534\n",
      "loss rate coefficient = 4.32885092249e-10 (16.1280903353 %) (36.7303048975 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 57.955821735\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0925150375537\n",
      "\n",
      "loss rate from EXP fit = 51.6690847461\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.52379203361e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.120480581422\n",
      "loss rate coefficient = 4.32885158065e-10 (14.4031758034 %) (36.0062699154 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.52379203361e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.123211630461\n",
      "loss rate coefficient = 4.61368276305e-10 (14.6323896557 %) (36.0985709833 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 5.25 --> Field = 977.6732 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 68 $$$ 68 $$$ 68 $$$ 68 $$$ 68 $$$ 68 $$$ 68 $$$ 68 $$$ 68 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 128.726052513E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 71.5131430037k\n",
      "TOTAL Na num = 71.5131430037k\n",
      "\n",
      "init mol temp/init Na temp = 0.953705583756\n",
      "init mol temp = 1.4945e-06 uk\n",
      "init na temp = 1.56704545455e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.02554925487\n",
      "\n",
      "init na num = 85.0720670339 at 1.56704545455 uk\n",
      "init Na density = 1.20126967564e+11 cm^-3 (13.7145465336 %)\n",
      "\n",
      "init overlap density = 98774056795.4 cm^-3 (13.0833561893 %) (35.4989325076 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.822247150649\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 13.5169842207 at 1.4945 uk\n",
      "init molecule density = 1.44411363866e+11 cm^-3 (10.1760285812 %)\n",
      "two-body rate coefficient = 2.34341663892e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0864744841213\n",
      "loss rate coefficient = 6.64860025205e-10 (15.6828751578 %) (36.5370027947 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 69.9594281023\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0703615785509\n",
      "\n",
      "loss rate from EXP fit = 65.8723285831\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.34341663892e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0864740857392\n",
      "loss rate coefficient = 6.64860163295e-10 (12.9825792369 %) (35.4619142693 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.34341663892e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0904015785858\n",
      "loss rate coefficient = 7.10430881251e-10 (13.2474202283 %) (35.5597264149 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 5.93 --> Field = 978.9788 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 69 $$$ 69 $$$ 69 $$$ 69 $$$ 69 $$$ 69 $$$ 69 $$$ 69 $$$ 69 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 104.147867881E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 74.5716204604k\n",
      "TOTAL Na num = 74.5716204604k\n",
      "\n",
      "init mol temp/init Na temp = 1.19368212937\n",
      "init mol temp = 1.58633333333e-06 uk\n",
      "init na temp = 1.32894117647e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 1.17268323673\n",
      "\n",
      "init na num = 88.7104331899 at 1.32894117647 uk\n",
      "init Na density = 1.60395427323e+11 cm^-3 (9.4325756911 %)\n",
      "\n",
      "init overlap density = 1.20177849202e+11 cm^-3 (10.7885114483 %) (34.7187554395 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.749259821229\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 16.8568188613 at 1.58633333333 uk\n",
      "init molecule density = 1.64683233935e+11 cm^-3 (11.3084222478 %)\n",
      "two-body rate coefficient = 2.48741380275e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.0834504621581\n",
      "loss rate coefficient = 5.08169954183e-10 (13.6393465977 %) (35.7075870875 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 67.2965973481\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0661434376962\n",
      "\n",
      "loss rate from EXP fit = 61.3110322734\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.48741380275e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.0810594608581\n",
      "loss rate coefficient = 5.53639710897e-10 (11.5262923713 %) (34.9550485028 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 2.48741380275e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.0862480929006\n",
      "loss rate coefficient = 5.51659689576e-10 (11.8969067061 %) (35.079002112 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " N = 86.0, sf = 6.5 --> Field = 980.0732 G\n",
      "\n",
      " ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \n",
      "\n",
      " $$$ 70 $$$ 70 $$$ 70 $$$ 70 $$$ 70 $$$ 70 $$$ 70 $$$ 70 $$$ 70 $$$\n",
      "\n",
      "---------------------------------------------------------------------------------------------\n",
      "\n",
      " Na temperature substituted...\n",
      "\n",
      "\n",
      " molecule temperature substituted...\n",
      "\n",
      "\n",
      " --- lattice factor: 1323.8084693 for Na num 160.409769603E3\n",
      "\n",
      "TOTAL init Na num from exponential fit= 106.096363977k\n",
      "TOTAL Na num = 106.096363977k\n",
      "\n",
      "init mol temp/init Na temp = 0.75939901751\n",
      "init mol temp = 1.150125e-06 uk\n",
      "init na temp = 1.51452e-06 uk\n",
      "\n",
      "\n",
      "overlap volume sig ratio: new/old = 0.911210126017\n",
      "\n",
      "init na num = 126.212282235 at 1.51452 uk\n",
      "init Na density = 1.87570709292e+11 cm^-3 (9.31198178453 %)\n",
      "\n",
      "init overlap density = 1.67029312334e+11 cm^-3 (10.2763268606 %) (34.563027844 % including systematic uncert.)\n",
      "systematic error = 33.0 %\n",
      "(init overlap density/init Na density) = 0.890487181953\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "\n",
      "init mol num = 11.9620564591 at 1.150125 uk\n",
      "init molecule density = 1.89301355688e+11 cm^-3 (18.5457882252 %)\n",
      "two-body rate coefficient = 1.80342727457e-12 cm^3/s\n",
      "\n",
      "\n",
      "full model fit: gamma_sigma/gamma = 0.112034548925\n",
      "loss rate coefficient = 3.69007703342e-10 (15.2026410625 %) (36.3334597207 % including systematic err)\n",
      "\n",
      "systematic error = 33.0 %\n",
      "loss rate from PA model = 64.9548583066\n",
      "\n",
      "PA analytic fit: gamma_sigma/gamma = 0.0862921032796\n",
      "\n",
      "loss rate from EXP fit = 61.8486533608\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 1.80342727457e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaExp fit: gamma_sigma/gamma = 0.111046513581\n",
      "loss rate coefficient = 3.82919340577e-10 (13.3402809445 %) (35.5944250646 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n",
      "the p-wave molecular loss rate constant = (1.20617476332e-06 +/- 3.13605438464e-07) x T (cm^3/s)\n",
      "two-body rate coefficient = 1.80342727457e-12 cm^3/s\n",
      "\n",
      "fullmodel_NaPA fit: gamma_sigma/gamma = 0.114135067866\n",
      "loss rate coefficient = 3.82621900436e-10 (13.5984539953 %) (35.6919872109 % including systematic err)\n",
      "systematic error = 33.0 %\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x720 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      " List of reading fails:\n",
      "[]\n",
      "\n",
      "\n",
      "[['Apr_1_0.5', 0, 13], ['Apr_28_0.558', 14, 27], ['Apr_5_0.73', 28, 34], ['Feb_15_0.89', 35, 36], ['Feb_1_0.798', 37, 38], ['Jan_28_0.595', 39, 50], ['Jan_29_0.567', 51, 54], ['Mar_31_0.547', 55, 59], ['May_6_0.66', 60, 65], ['May_7_0.635', 66, 70]]\n"
     ]
    }
   ],
   "source": [
    "working_dir = os.getcwd()\n",
    "\n",
    "\n",
    "working_dir = join(os.getcwd(), join('980G', 'rawdata_combined'))\n",
    "date_list = os.listdir(working_dir)\n",
    "print(date_list)\n",
    "\n",
    "B_list = []\n",
    "coeff_fm_list = []\n",
    "coeff_pa_list = []\n",
    "coeff_exp_list = []\n",
    "coeff_expoffset_list = []\n",
    "coeff_fm_naexp_list = []\n",
    "coeff_fm_napa_list = []\n",
    "\n",
    "coeff_fm_sig_list = []\n",
    "coeff_pa_sig_list = []\n",
    "coeff_exp_sig_list = []\n",
    "coeff_expoffset_sig_list = []\n",
    "coeff_fm_naexp_sig_list = []\n",
    "coeff_fm_napa_sig_list = []\n",
    "\n",
    "coeff_pa_sig_sys_list = []\n",
    "coeff_exp_sig_sys_list = []\n",
    "coeff_fm_naexp_sig_sys_list = []\n",
    "coeff_fm_napa_sig_sys_list = []\n",
    "\n",
    "init_na_temp_list = []\n",
    "init_na_temp_sig_list = []\n",
    "init_mol_temp_list = []\n",
    "init_mol_temp_sig_list = []\n",
    "mean_na_temp_list = []\n",
    "mean_na_temp_sig_list = []\n",
    "mean_mol_temp_list = []\n",
    "mean_mol_temp_sig_list = []\n",
    "\n",
    "init_na_num_pancakes =[]\n",
    "mean_na_num_pancakes=[]\n",
    "init_mol_num_pancakes =[]\n",
    "mean_mol_num_pancakes =[]\n",
    "\n",
    "failed_list = []\n",
    "TOFoffset_list =[]\n",
    "mean_na_num_temp_list = []\n",
    "num_pancakes_temp_list = []\n",
    "\n",
    "c = 0\n",
    "date_mark_list= []\n",
    "for i, date in enumerate(date_list):\n",
    "    date_mark = [date, c]\n",
    "\n",
    "    polar_correct = float(date[date.index('.')-1:])\n",
    "    print(polar_correct)\n",
    "    sub_dir = join(working_dir, date)\n",
    "\n",
    "    file_list = os.listdir(sub_dir)\n",
    "    for f in file_list:       \n",
    "        N = float(f[f.index('N')+1:f.index('_')])\n",
    "        SF = f[f.index('F')+1:f.index('x')-2]\n",
    "        if SF[-1].isdigit() is False:\n",
    "            SF = float(SF[:-1])\n",
    "        else:\n",
    "            SF = float(SF)\n",
    "\n",
    "        if date[:date.index('.')-2] == 'May_6' or date[:date.index('.')-2] == 'May_7':\n",
    "            if N == 86 and (SF == 5.93 or SF == 5.25 or SF == 4.5 or SF == 6.5):\n",
    "                TOFoffset = -1.13e-6 ## for TOF 0.17 + 0.5ms\n",
    "            else:\n",
    "                TOFoffset = 0.\n",
    "        else:\n",
    "            TOFoffset = 0.\n",
    "                \n",
    "        TOFoffset_list.append(TOFoffset)\n",
    "            \n",
    "        if int(N) == 86:\n",
    "            calibration = 0.005\n",
    "        else:\n",
    "            calibration = 0.016\n",
    "            \n",
    "#         B = calibration * 547.24 * N + (SF - 6.57) * 1.92 + 745.24\n",
    "        B = calibration * 547.24 * N + (SF - 6.75) * 1.92 + 745.24\n",
    "        print(\" ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \")\n",
    "        print(\"\")\n",
    "        print(\" N = {}, sf = {} --> Field = {} G\".format(N, SF, B))\n",
    "        print(\"\")\n",
    "        print(\" ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ \")\n",
    "        \n",
    "        callThis = join(sub_dir, f)\n",
    "        try:\n",
    "            data = np.loadtxt(callThis, delimiter='\\t', unpack=True, usecols=(1,9,10,13,14))\n",
    "        except:\n",
    "            print(\"!!!!!!!!!!!!!!!!!!!!!!!!!!!!\")\n",
    "            print(\"   txt loading failed at   \")\n",
    "            print(N, SF)\n",
    "            failed_list.append(date + \"_\" + str(N) + \"_\" + str(SF))\n",
    "            continue\n",
    "        \n",
    "        print(\"\")\n",
    "        print(\" $$$ {} $$$ {} $$$ {} $$$ {} $$$ {} $$$ {} $$$ {} $$$ {} $$$ {} $$$\".format(c,c,c,c,c,c,c,c,c))\n",
    "        print(\"\")\n",
    "\n",
    "        fileName = date + str(\" // \") + f\n",
    "        out, temp_packed, mean_na_num, num_pancakes_temp, num_pancakes_packed = fitAndPlot(data, polar_correct, fileName, flg_draw=True, molTempPack = molTemp_input[c], naTempPack = naTemp_input[c])\n",
    "        \n",
    "        mean_na_num_temp_list.append(mean_na_num)\n",
    "        num_pancakes_temp_list.append(num_pancakes_temp)\n",
    "        \n",
    "        init_na_num_pancakes.append(num_pancakes_packed[0])\n",
    "        mean_na_num_pancakes.append(num_pancakes_packed[1])\n",
    "        init_mol_num_pancakes.append(num_pancakes_packed[2])\n",
    "        mean_mol_num_pancakes.append(num_pancakes_packed[3])\n",
    "        \n",
    "        init_na_temp, init_na_temp_sig, mean_na_temp, mean_na_temp_sig, init_mol_temp, init_mol_temp_sig, mean_mol_temp, mean_mol_temp_sig = temp_packed\n",
    "        init_na_temp_list.append(init_na_temp)\n",
    "        init_na_temp_sig_list.append(init_na_temp_sig)\n",
    "        init_mol_temp_list.append(init_mol_temp)\n",
    "        init_mol_temp_sig_list.append(init_mol_temp_sig)\n",
    "        mean_na_temp_list.append(mean_na_temp)\n",
    "        mean_na_temp_sig_list.append(mean_na_temp_sig)\n",
    "        mean_mol_temp_list.append(mean_mol_temp)\n",
    "        mean_mol_temp_sig_list.append(mean_mol_temp_sig)\n",
    "        \n",
    "        B_list.append(B)\n",
    "        coeff_fm_list.append(out[0][0])\n",
    "        coeff_pa_list.append(out[1][0])\n",
    "        coeff_exp_list.append(out[2][0])\n",
    "        coeff_expoffset_list.append(out[3][0])\n",
    "        coeff_fm_naexp_list.append(out[4][0])\n",
    "        coeff_fm_napa_list.append(out[5][0])\n",
    "        \n",
    "        coeff_fm_sig_list.append(out[0][1])\n",
    "        coeff_pa_sig_list.append(out[1][1])\n",
    "        coeff_exp_sig_list.append(out[2][1])\n",
    "        coeff_expoffset_sig_list.append(out[3][1])\n",
    "        coeff_fm_naexp_sig_list.append(out[4][1])\n",
    "        coeff_fm_napa_sig_list.append(out[5][1])\n",
    "        \n",
    "        coeff_pa_sig_sys_list.append(out[1][2])\n",
    "        coeff_exp_sig_sys_list.append(out[2][2])\n",
    "        coeff_fm_naexp_sig_sys_list.append(out[4][2])\n",
    "        coeff_fm_napa_sig_sys_list.append(out[5][2])\n",
    "        \n",
    "        \n",
    "        c += 1\n",
    "    \n",
    "    date_mark.append(c-1)\n",
    "    date_mark_list.append(date_mark)\n",
    "\n",
    "B_list = np.array(B_list)\n",
    "coeff_fm_list = np.array(coeff_fm_list)\n",
    "coeff_pa_list = np.array(coeff_pa_list)\n",
    "coeff_exp_list = np.array(coeff_exp_list)\n",
    "coeff_expoffset_list = np.array(coeff_expoffset_list)\n",
    "coeff_fm_naexp_list = np.array(coeff_fm_naexp_list)\n",
    "coeff_fm_napa_list = np.array(coeff_fm_napa_list)\n",
    "out = np.array([coeff_fm_list, coeff_exp_list, coeff_pa_list, coeff_expoffset_list, coeff_fm_naexp_list, coeff_fm_napa_list])\n",
    "\n",
    "coeff_fm_sig_list = np.array(coeff_fm_sig_list)\n",
    "coeff_pa_sig_list = np.array(coeff_pa_sig_list)\n",
    "coeff_exp_sig_list = np.array(coeff_exp_sig_list)\n",
    "coeff_expoffset_sig_list = np.array(coeff_expoffset_sig_list)\n",
    "coeff_fm_naexp_sig_list = np.array(coeff_fm_naexp_sig_list)\n",
    "coeff_fm_napa_sig_list = np.array(coeff_fm_napa_sig_list)\n",
    "out_sig = np.array([coeff_fm_sig_list, coeff_exp_sig_list, coeff_pa_sig_list, coeff_expoffset_sig_list, coeff_fm_naexp_sig_list, coeff_fm_napa_sig_list])\n",
    "\n",
    "dummy = -1 * np.ones_like(coeff_fm_napa_sig_sys_list)\n",
    "out_sig_sys = np.array([dummy, coeff_pa_sig_sys_list, coeff_exp_sig_sys_list, dummy, coeff_fm_naexp_sig_sys_list,coeff_fm_napa_sig_sys_list])\n",
    "\n",
    "out_final = out\n",
    "out_sig_final = out_sig\n",
    "out_sig_sys_final =out_sig_sys\n",
    "\n",
    "\n",
    "\n",
    "print(\"\")\n",
    "print(\" List of reading fails:\")\n",
    "print(failed_list)\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(date_mark_list)\n",
    "\n",
    "#######################################################################################\n",
    "#######################################################################################\n",
    "# final = np.vstack((B_list, np.vstack((out[qq], out_sig[qq], out_sig_sys[qq])))).T\n",
    "# np.savetxt('loss_rate_coeff_980G.txt', final, delimiter='\\t')\n",
    "\n",
    "# data = processData('loss_rate_coeff_980G.txt')\n",
    "# print(data.shape)\n",
    "\n",
    "BB_list = B_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "mean of mean Na temp PEAK = 1.59531313084e-06 +/- 9.71579093227e-08 uk\n",
      "mean of INIT Na temp PEAK = 1.57680090425e-06 +/- 1.27487901843e-07 uk\n",
      "\n",
      "mean of mean mol temp PEAK = 1.93191007929e-06 +/- 3.27834827606e-07 uk\n",
      "mean of INIT MOL temp PEAK = 1.75520522502e-06 +/- 3.31683981435e-07 uk\n",
      "\n",
      "\n",
      "mean of mean Na temp OUTSIDE PEAK = 1.45114849162e-06 +/- 1.50451401537e-07 uk\n",
      "mean of INIT Na temp OUTSIDE PEAK = 1.49242055275e-06 +/- 1.47538957696e-07 uk\n",
      "\n",
      "mean of mean mol temp OUTSIDE PEAK = 1.64141844512e-06 +/- 1.54951094821e-07 uk\n",
      "mean of INIT mol temp OUTSIDE PEAK = 1.58729458402e-06 +/- 1.59385836733e-07 uk\n",
      "\n",
      "   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^   \n",
      " mean of ENTIRE mean Na temp = 1.52292136605e-06 +/- 1.43685377159e-07 uk\n",
      " mean of ENTIRE init Na temp = 1.52561495325e-06 +/- 1.46495312057e-07 uk\n",
      "   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^   \n",
      "\n",
      " ---- mean temperature between Na and mol ---- \n",
      "Mean out temp = 1.54628346837e-06 (% 7.01079786753)\n",
      "Mean peak temp = 1.76361160506e-06 (% 9.0146191321)\n",
      "difference -14.0548703479 %\n",
      "\n",
      "INIT out temp = 1.53985756839e-06 (% 7.04555611007)\n",
      "INIT peak temp = 1.66600306463e-06 (% 10.2770814217)\n",
      "difference -8.19202365447 %\n",
      "\n",
      "\n",
      "\n",
      "a_bar * krel = 0.0322201334441\n",
      "krel = 10836729.9339 +/- 480879.007898 1/m (4.43749185254 %)\n",
      "\n",
      "vrel = 5.36344478994 cm/s\n",
      "<1/krel> = 117.492966283 nm (4.43749185254 %)\n",
      "thermally-averaged relative Kinetic energy_from <vrel^2> = 2.61628882552 uk\n",
      "thermally-averaged relative Kinetic energy_k = 2.22077492873 +/- 0.197093413052 uk\n",
      "thermally-averaged relative Kinetic energy_k2 = 2.61628882552 +/- 0.232195206943 uk\n",
      "\n",
      "2/3 * relative kinetic energy_k = 1.48051661916 +/- 0.131395608701 uk\n",
      "2/3 * relative kinetic energy_k2 = 1.74419255035 +/- 0.154796804628 uk\n",
      "\n",
      "TT_k2/TT_k uk = 1.1780972451\n",
      "\n",
      "mean temperature of Tna and Tmol = 1.76361160506 uk\n",
      "\n",
      "\n",
      " -----  for small resonance ----- \n",
      "\n",
      "mean of mean Na temp for SMALL RES = 1.45114849162e-06 +/- 1.50451401537e-07 uk\n",
      "mean of mean mol temp for SMALL RES = 1.64141844512e-06 +/- 1.54951094821e-07 uk\n",
      "\n",
      "\n",
      "max mean mol temp SIG at PEAK = 1.23598687241e-07 uk\n",
      "\n",
      "\n",
      "\n",
      "the temperature I use:\n",
      "Tna = 1.52323081123 uk\n",
      "Tmol = 1.78666426221 uk\n",
      "relative temp = 1.63974945301 +/- 0.154796804628 uk\n",
      "\n",
      "zero-point rms k = 5894105.84198\n",
      "3d momentum k = 11020459.8917\n",
      "ratio = 1.86974244901\n",
      "\n",
      "long-range transmittance 4 * k * a_bar = 0.131065622376\n",
      "long-range reflectance  = 1 - 4*k*a_bar = 0.868934377624\n",
      "\n",
      "long-range |r_oi|  = 1 - 2*k*a_bar = 0.934467188812\n"
     ]
    }
   ],
   "source": [
    "#########################################################################################################################\n",
    "## molecule temperature input order: [init_mol_list, init_mol_sig_list, mean_mol_list, mean_mol_sig_list]\n",
    "\n",
    "\n",
    "molTemp_input = []\n",
    "for i in range(len(B_list)):\n",
    "    molTemp_input.append([init_mol_list[i]*1e-6, init_mol_temp_sig_list[i], mean_mol_list[i]*1e-6, mean_mol_temp_sig_list[i]])\n",
    "\n",
    "naTemp_input = []\n",
    "for i in range(len(B_list)):\n",
    "    naTemp_input.append([init_na_list[i]*1e-6, init_na_temp_sig_list[i], mean_na_list[i]*1e-6, mean_na_temp_sig_list[i]])\n",
    "\n",
    "    \n",
    "#########################################################################################################################\n",
    "    \n",
    "\n",
    "idx_small = np.where(B_list > 1000.)[0]\n",
    "\n",
    "\n",
    "#################################################################################################\n",
    "\n",
    "\n",
    "idx_near_peak = np.where((B_list < B_up_cut) & (B_list > B_lo_cut))[0]\n",
    "\n",
    "idx_out_peak = np.where((B_list < B_lo_cut) | (B_list > B_up_cut))[0]\n",
    "\n",
    "mean_na_temp_near_peak = []\n",
    "mean_na_temp_near_peak_sig = []\n",
    "\n",
    "mean_mol_temp_near_peak = []\n",
    "mean_mol_temp_near_peak_sig = []\n",
    "\n",
    "init_na_temp_near_peak = []\n",
    "init_na_temp_near_peak_sig = []\n",
    "\n",
    "init_mol_temp_near_peak = []\n",
    "init_mol_temp_near_peak_sig = []\n",
    "for i in idx_near_peak:\n",
    "    mean_na_temp_near_peak.append(mean_na_temp_list[i])\n",
    "    mean_na_temp_near_peak_sig.append(mean_na_temp_sig_list[i])\n",
    "    \n",
    "    mean_mol_temp_near_peak.append(mean_mol_temp_list[i])\n",
    "    mean_mol_temp_near_peak_sig.append(mean_mol_temp_sig_list[i])\n",
    "    \n",
    "    init_na_temp_near_peak.append(init_na_temp_list[i])\n",
    "    init_na_temp_near_peak_sig.append(init_na_temp_sig_list[i])\n",
    "    \n",
    "    init_mol_temp_near_peak.append(init_mol_temp_list[i])\n",
    "    init_mol_temp_near_peak_sig.append(init_mol_temp_sig_list[i])\n",
    "\n",
    "mean_na_temp_out_peak = []\n",
    "mean_na_temp_out_peak_sig = []\n",
    "\n",
    "mean_mol_temp_out_peak = []\n",
    "mean_mol_temp_out_peak_sig = []\n",
    "\n",
    "init_na_temp_out_peak = []\n",
    "init_na_temp_out_peak_sig = []\n",
    "\n",
    "init_mol_temp_out_peak = []\n",
    "init_mol_temp_out_peak_sig = []\n",
    "for i in idx_out_peak:\n",
    "    mean_na_temp_out_peak.append(mean_na_temp_list[i])\n",
    "    mean_na_temp_out_peak_sig.append(mean_na_temp_sig_list[i])\n",
    "    \n",
    "    mean_mol_temp_out_peak.append(mean_mol_temp_list[i])\n",
    "    mean_mol_temp_out_peak_sig.append(mean_mol_temp_sig_list[i])\n",
    "    \n",
    "    init_na_temp_out_peak.append(init_na_temp_list[i])\n",
    "    init_na_temp_out_peak_sig.append(init_na_temp_sig_list[i])\n",
    "    \n",
    "    init_mol_temp_out_peak.append(init_mol_temp_list[i]) \n",
    "    init_mol_temp_out_peak_sig.append(init_mol_temp_sig_list[i])\n",
    "    \n",
    "Tna_peak = np.mean(mean_na_temp_near_peak)\n",
    "# sigma_Tna_peak = np.std(mean_na_temp_near_peak)/np.sqrt(len(mean_na_temp_near_peak))\n",
    "sigma_Tna_peak = np.std(mean_na_temp_near_peak)\n",
    "\n",
    "Tna_peak_init = np.mean(init_na_temp_near_peak)\n",
    "sigma_Tna_peak_init = np.std(init_na_temp_near_peak)\n",
    "\n",
    "Tmol_peak = np.mean(mean_mol_temp_near_peak)\n",
    "# sigma_Tmol_peak = np.std(mean_mol_temp_near_peak)/np.sqrt(len(mean_mol_temp_near_peak))\n",
    "sigma_Tmol_peak = np.std(mean_mol_temp_near_peak)\n",
    "\n",
    "Tmol_peak_init = np.mean(init_mol_temp_near_peak)\n",
    "sigma_Tmol_peak_init = np.std(init_mol_temp_near_peak)\n",
    "\n",
    "####################################################\n",
    "####################################################\n",
    "####################################################\n",
    "####################################################\n",
    "Tna_peak, Tna_peak_ste, sigma_Tna_peak = weighted_mean_std(mean_na_temp_near_peak, mean_na_temp_near_peak_sig)\n",
    "Tna_peak_init, Tna_peak_ste_init, sigma_Tna_peak_init = weighted_mean_std(init_na_temp_near_peak, init_na_temp_near_peak_sig)\n",
    "\n",
    "Tmol_peak, Tmol_peak_ste, sigma_Tmol_peak = weighted_mean_std(mean_mol_temp_near_peak, mean_mol_temp_near_peak_sig)\n",
    "Tmol_peak_init, Tmol_peak_ste_init, sigma_Tmol_peak_init = weighted_mean_std(init_mol_temp_near_peak, init_mol_temp_near_peak_sig)\n",
    "\n",
    "print(\"mean of mean Na temp PEAK = {} +/- {} uk\".format(Tna_peak, sigma_Tna_peak))\n",
    "print(\"mean of INIT Na temp PEAK = {} +/- {} uk\".format(Tna_peak_init, sigma_Tna_peak_init))\n",
    "print(\"\")\n",
    "print(\"mean of mean mol temp PEAK = {} +/- {} uk\".format(Tmol_peak, sigma_Tmol_peak))\n",
    "print(\"mean of INIT MOL temp PEAK = {} +/- {} uk\".format(Tmol_peak_init, sigma_Tmol_peak_init))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "\n",
    "\n",
    "Tna_out = np.mean(mean_na_temp_out_peak)\n",
    "# sigma_Tna_out = np.std(mean_na_temp_out_peak)/np.sqrt(len(mean_na_temp_out_peak))\n",
    "sigma_Tna_out = np.std(mean_na_temp_out_peak)\n",
    "\n",
    "Tna_out_init = np.mean(init_na_temp_out_peak)\n",
    "sigma_Tna_out_init = np.std(init_na_temp_out_peak)\n",
    "\n",
    "Tmol_out = np.mean(mean_mol_temp_out_peak)\n",
    "# sigma_Tmol_out = np.std(mean_mol_temp_out_peak)/np.sqrt(len(mean_mol_temp_out_peak))\n",
    "sigma_Tmol_out = np.std(mean_mol_temp_out_peak)\n",
    "\n",
    "Tmol_out_init = np.mean(init_mol_temp_out_peak)\n",
    "sigma_Tmol_out_init = np.std(init_mol_temp_out_peak)\n",
    "\n",
    "####################################################\n",
    "####################################################\n",
    "####################################################\n",
    "####################################################\n",
    "Tna_out, Tna_out_ste, sigma_Tna_out = weighted_mean_std(mean_na_temp_out_peak, mean_na_temp_out_peak_sig)\n",
    "Tna_out_init, Tna_out_ste_init, sigma_Tna_out_init = weighted_mean_std(init_na_temp_out_peak, init_na_temp_out_peak_sig)\n",
    "\n",
    "Tmol_out, Tmol_out_ste, sigma_Tmol_out = weighted_mean_std(mean_mol_temp_out_peak, mean_mol_temp_out_peak_sig)\n",
    "Tmol_out_init, Tmol_out_ste_init, sigma_Tmol_out_init = weighted_mean_std(init_mol_temp_out_peak, init_mol_temp_out_peak_sig)\n",
    "\n",
    "print(\"mean of mean Na temp OUTSIDE PEAK = {} +/- {} uk\".format(Tna_out, sigma_Tna_out))\n",
    "print(\"mean of INIT Na temp OUTSIDE PEAK = {} +/- {} uk\".format(Tna_out_init, sigma_Tna_out_init))\n",
    "print(\"\")\n",
    "print(\"mean of mean mol temp OUTSIDE PEAK = {} +/- {} uk\".format(Tmol_out, sigma_Tmol_out))\n",
    "print(\"mean of INIT mol temp OUTSIDE PEAK = {} +/- {} uk\".format(Tmol_out_init, sigma_Tmol_out_init))\n",
    "print(\"\")\n",
    "print(\"   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^   \")\n",
    "Tna_mean_entire, Tna_mean_entire_ste, Tna_mean_entire_sig = weighted_mean_std(mean_na_temp_list, mean_na_temp_sig_list)\n",
    "Tna_init_entire, Tna_init_entire_ste, Tna_init_entire_sig = weighted_mean_std(init_na_temp_list, init_na_temp_sig_list)\n",
    "print(\" mean of ENTIRE mean Na temp = {} +/- {} uk\".format(Tna_mean_entire, Tna_mean_entire_sig))\n",
    "print(\" mean of ENTIRE init Na temp = {} +/- {} uk\".format(Tna_init_entire, Tna_init_entire_sig))\n",
    "print(\"   ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^   \")\n",
    "print(\"\")\n",
    "######################################################################\n",
    "# Tna_out = Tna_mean_entire\n",
    "# sigma_Tna_out = Tna_mean_entire_sig\n",
    "\n",
    "# Tna_peak = Tna_mean_entire\n",
    "# sigma_Tna_peak = Tna_mean_entire_sig\n",
    "######################################################################\n",
    "\n",
    "\n",
    "Tmean_out = (Tna_out + Tmol_out)/2\n",
    "Tmean_out_sig = Tmean_out* 0.5 * np.sqrt((sigma_Tna_out/Tna_out)**2 + (sigma_Tmol_out/Tmol_out)**2)\n",
    "\n",
    "Tmean_peak = (Tna_peak + Tmol_peak)/2\n",
    "Tmean_peak_sig = Tmean_peak* 0.5 * np.sqrt((sigma_Tna_peak/Tna_peak)**2 + (sigma_Tmol_peak/Tmol_peak)**2)\n",
    "print(\" ---- mean temperature between Na and mol ---- \")\n",
    "print(\"Mean out temp = {} (% {})\".format(Tmean_out, Tmean_out_sig/Tmean_out*100))\n",
    "print(\"Mean peak temp = {} (% {})\".format(Tmean_peak, Tmean_peak_sig/Tmean_peak*100))\n",
    "print(\"difference {} %\".format((Tmean_out - Tmean_peak)/Tmean_out * 100))\n",
    "print(\"\")\n",
    "\n",
    "Tmean_out_init = (Tna_out_init + Tmol_out_init)/2\n",
    "Tmean_out_init_sig = Tmean_out_init * 0.5 * np.sqrt((sigma_Tna_out_init/Tna_out_init)**2 + (sigma_Tmol_out_init/Tmol_out_init)**2)\n",
    "\n",
    "Tmean_peak_init = (Tna_peak_init + Tmol_peak_init)/2\n",
    "Tmean_peak_init_sig = Tmean_peak_init * 0.5 * np.sqrt((sigma_Tna_peak_init/Tna_peak_init)**2 + (sigma_Tmol_peak_init/Tmol_peak_init)**2)\n",
    "print(\"INIT out temp = {} (% {})\".format(Tmean_out_init, Tmean_out_init_sig/Tmean_out_init*100))\n",
    "print(\"INIT peak temp = {} (% {})\".format(Tmean_peak_init, Tmean_peak_init_sig/Tmean_peak_init*100))\n",
    "print(\"difference {} %\".format((Tmean_out_init - Tmean_peak_init)/Tmean_out_init * 100))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "############################\n",
    "Tna = Tna_peak\n",
    "sigma_Tna = sigma_Tna_peak\n",
    "\n",
    "Tmol = Tmol_peak\n",
    "sigma_Tmol = sigma_Tmol_peak\n",
    "############################\n",
    "\n",
    "vrel_sq = 3*kb * (Tna/m_na + Tmol/m_mol)\n",
    "Erel_from_vrel_sq = 0.5 * mu * vrel_sq\n",
    "\n",
    "vrel = np.sqrt(8.*kb/np.pi * (Tna/m_na + Tmol/m_mol))\n",
    "vrel_sig = 1./vrel * 4*kb/np.pi * np.sqrt((sigma_Tna/m_na)**2 + (sigma_Tmol/m_mol)**2)\n",
    "\n",
    "krel = mu * vrel/h_bar\n",
    "krel_sig = mu/h_bar * vrel_sig\n",
    "\n",
    "## <1/k^2> = pi <1/k>^2\n",
    "# ffactor = 2. ## for free space\n",
    "ffactor = 4/np.pi\n",
    "oneOverkrel = 1/krel * ffactor\n",
    "oneOverkrel_sig = ffactor/krel**2 * krel_sig\n",
    "\n",
    "print(\"a_bar * krel = {}\".format(krel*a_bar))\n",
    "print(\"krel = {} +/- {} 1/m ({} %)\".format(krel, krel_sig, krel_sig/krel * 100))\n",
    "print(\"\")\n",
    "print(\"vrel = {} cm/s\".format(vrel*100))\n",
    "print(\"<1/krel> = {} nm ({} %)\".format(1e9 * oneOverkrel, oneOverkrel_sig/oneOverkrel*100))\n",
    "\n",
    "## <k_rel^2> = 3pi/8 * <k_rel>^2\n",
    "E_rel = h_bar**2 * krel**2/(2 * mu)\n",
    "E_rel_sig = 2 * E_rel/krel * krel_sig\n",
    "TT = 2/3. * E_rel/kb\n",
    "TT_sig = 2/3. * E_rel_sig/kb\n",
    "\n",
    "E_rel_k2 = h_bar**2 * (3*np.pi)/8 * krel**2/(2 * mu)\n",
    "E_rel_sig_k2 = 2 * E_rel_k2/krel * krel_sig\n",
    "TT_k2 = 2/3. * E_rel_k2/kb\n",
    "TT_sig_k2 = 2/3. * E_rel_sig_k2/kb\n",
    "\n",
    "print(\"thermally-averaged relative Kinetic energy_from <vrel^2> = {} uk\".format(Erel_from_vrel_sq/kb * 1e6))\n",
    "print(\"thermally-averaged relative Kinetic energy_k = {} +/- {} uk\".format(E_rel/kb * 1e6, E_rel_sig/kb * 1e6))\n",
    "print(\"thermally-averaged relative Kinetic energy_k2 = {} +/- {} uk\".format(E_rel_k2/kb * 1e6, E_rel_sig_k2/kb * 1e6))\n",
    "print(\"\")\n",
    "print(\"2/3 * relative kinetic energy_k = {} +/- {} uk\".format(TT * 1e6, TT_sig * 1e6))\n",
    "print(\"2/3 * relative kinetic energy_k2 = {} +/- {} uk\".format(TT_k2 * 1e6, TT_sig_k2 * 1e6))\n",
    "print(\"\")\n",
    "print(\"TT_k2/TT_k uk = {}\".format(TT_k2/TT))\n",
    "print(\"\")\n",
    "print(\"mean temperature of Tna and Tmol = {} uk\".format((Tna + Tmol)/2. * 1e6))\n",
    "\n",
    "\n",
    "################## for the small resoannce #####################\n",
    "mean_na_temp_near_out = []\n",
    "mean_mol_temp_near_out = []\n",
    "mean_na_temp_near_out_sig = []\n",
    "mean_mol_temp_near_out_sig = []\n",
    "for i in idx_small:\n",
    "    mean_na_temp_near_out.append(mean_na_temp_list[i])\n",
    "    mean_mol_temp_near_out.append(mean_mol_list[i]) #### use the corrected molecule temperature\n",
    "    mean_na_temp_near_out_sig.append(mean_na_temp_sig_list[i])\n",
    "    mean_mol_temp_near_out_sig.append(mean_mol_temp_sig_list[i])\n",
    "    \n",
    "\n",
    "mean_mol_temp_near_out = np.array(mean_mol_temp_near_out) * 1e-6\n",
    "Tna_small = np.mean(mean_na_temp_near_out)\n",
    "# sigma_Tna_peak = np.std(mean_na_temp_near_peak)/np.sqrt(len(mean_na_temp_near_peak))\n",
    "sigma_Tna_small = np.std(mean_na_temp_near_out)\n",
    "sigma_Tna_small = np.max([np.std(mean_na_temp_near_out), max(mean_na_temp_near_out_sig)])\n",
    "\n",
    "Tmol_small = np.mean(mean_mol_temp_near_out) \n",
    "# sigma_Tmol_peak = np.std(mean_mol_temp_near_peak)/np.sqrt(len(mean_mol_temp_near_peak))\n",
    "sigma_Tmol_small = np.std(mean_mol_temp_near_out)\n",
    "sigma_Tmol_small = np.max([np.std(mean_mol_temp_near_out), max(mean_mol_temp_near_out_sig)])\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\" -----  for small resonance ----- \")\n",
    "print(\"\")\n",
    "print(\"mean of mean Na temp for SMALL RES = {} +/- {} uk\".format(Tna_out, sigma_Tna_out))\n",
    "print(\"mean of mean mol temp for SMALL RES = {} +/- {} uk\".format(Tmol_out, sigma_Tmol_out))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\"max mean mol temp SIG at PEAK = {} uk\".format(max(mean_mol_temp_near_out_sig)))\n",
    "############################        \n",
    "Tna = Tna_out_init\n",
    "Tmol = Tmol_out_init\n",
    "\n",
    "Tna = Tna_peak\n",
    "Tmol = Tmol_peak\n",
    "\n",
    "Tna = (Tna_out + Tna_peak)/2\n",
    "Tmol = (Tmol_out + Tmol_peak)/2\n",
    "############################    \n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\"the temperature I use:\")\n",
    "print(\"Tna = {} uk\".format(Tna * 1e6))\n",
    "print(\"Tmol = {} uk\".format(Tmol * 1e6))\n",
    "\n",
    "Trel = mu * (Tna/m_na+Tmol/m_mol)\n",
    "Trel_sig = np.sqrt((mu/m_na * sigma_Tna_peak)**2 + (mu/m_mol * sigma_Tmol_peak)**2)\n",
    "print(\"relative temp = {} +/- {} uk\".format(Trel *1e6, Trel_sig*1e6))\n",
    "print(\"\")\n",
    "omega_na = 2*np.pi * 45. * 1e3\n",
    "omega_mol = 2*np.pi * 67. * 1e3\n",
    "omega = mu * (omega_mol/m_mol + omega_na/m_na)\n",
    "loo = np.sqrt(h_bar/(mu * omega))\n",
    "k_3d_momentum = np.sqrt(2.*mu/h_bar**2 *(kb * Trel + 0.25 * h_bar * omega))\n",
    "k_zero_point_rms = (np.sqrt(2) * loo)**-1\n",
    "print(\"zero-point rms k = {}\".format(k_zero_point_rms))\n",
    "print(\"3d momentum k = {}\".format(k_3d_momentum))\n",
    "print(\"ratio = {}\".format(k_3d_momentum/k_zero_point_rms))\n",
    "print(\"\")\n",
    "print(\"long-range transmittance 4 * k * a_bar = {}\".format(4. * k_3d_momentum * a_bar))\n",
    "print(\"long-range reflectance  = 1 - 4*k*a_bar = {}\".format(1 - 4. * k_3d_momentum * a_bar))\n",
    "print(\"\")\n",
    "print(\"long-range |r_oi|  = 1 - 2*k*a_bar = {}\".format(1 - 2.* k_3d_momentum * a_bar))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Save data to TXT"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "err_sys/y data (%)\n",
      "[35.17869137 35.02557492 34.63243673 35.29652232 34.41377144 34.54591881\n",
      " 34.63320257 34.37778989 35.44749766 35.02242626 35.74077431 35.7975578\n",
      " 35.59138435 37.54554253 36.72535229 35.07151836 35.75194618 36.1480722\n",
      " 35.91195948 35.94284064 37.9149975  35.10319003 34.66443703 35.5861601\n",
      " 34.68869875 34.91832392 34.52272828 32.51742138 31.9461918  39.02525857\n",
      " 35.02882905 33.96587162 37.06430686 34.26993064 35.33308313 39.67047256\n",
      " 30.90111929 34.98485219 32.53831757 34.92400888 29.37243958 30.56600448\n",
      " 30.91849836 30.49936823 29.82875108 31.70602773 29.8278197  28.93705023\n",
      " 28.6569131  28.27652224 30.66615907 29.14349565 23.37305011 26.46938553\n",
      " 31.35753206 33.7814515  35.59731167 37.05575781 33.16032138 34.18554952\n",
      " 33.45161257 37.69542487 33.43445298 34.90897716 34.65341751 31.93951631\n",
      " 38.91611723 32.73212826 34.39580957 32.52516618 34.58402413]\n",
      "Model 2: FWHM from Lorentzian = 4.34 + 0.359 G\n",
      "universal loss rate, only isotropic terms = 1.84920267359e-10\n",
      "universal loss rate, including anisotropic terms = 4.25316614925e-10\n",
      "\n",
      "\n",
      "Tna = 1.52323081123 uk\n",
      "Tmol = 1.78666426221 uk\n",
      "debroglie wavelength_correct? = 380.688894143 nm (4.72013588248 %)\n",
      "Unitarity limit: 1.88415128765e-09 \n",
      "uncertainty 4.72013588248 %\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = BB_list\n",
    "\n",
    "fig, axs = plt.subplots(2, 1, figsize = (10, 9))\n",
    "label_list = ['full model', 'PA', 'exp', 'exp+offset', 'full model_NaExp', 'full model_NaPA']\n",
    "\n",
    "## to check\n",
    "B_check = 979.5\n",
    "\n",
    "x_outside = []\n",
    "y_outside = []\n",
    "err_outside = []\n",
    "err_sys_outside = []\n",
    "\n",
    "x_peak = []\n",
    "y_peak = []\n",
    "err_peak = []\n",
    "err_sys_peak = []\n",
    "\n",
    "# loss_threshold = 3e-10\n",
    "B_low_cut = 966\n",
    "B_high_cut = 987\n",
    "for i, bias in enumerate(x):\n",
    "    if bias > B_low_cut and bias < B_high_cut: ## near the peak\n",
    "        q_p = 2\n",
    "        if np.abs(bias - 979.5) < 0.2 and out_final[q_p][i] > 5e-10:\n",
    "            q_p = 4        \n",
    "        \n",
    "        x_peak.append(bias)\n",
    "        y_peak.append(out_final[q_p][i])\n",
    "        err_peak.append(out_sig_final[q_p][i])\n",
    "        err_sys_peak.append(out_sig_sys_final[q_p][i])\n",
    "        \n",
    "    else:\n",
    "        q_o = 4\n",
    "        x_outside.append(bias)\n",
    "        y_outside.append(out_final[q_o][i])\n",
    "        err_outside.append(out_sig_final[q_o][i])\n",
    "        err_sys_outside.append(out_sig_sys_final[q_o][i])\n",
    "\n",
    "q_temp = 4\n",
    "        \n",
    "for a in axs:\n",
    "    a.scatter(x_peak, y_peak, c = color_list[q_p], label=label_list[q_p])\n",
    "    a.errorbar(x_peak, y_peak, err_peak, ls='', c = color_list[q_p])\n",
    "    \n",
    "    a.scatter(B_list, out[q_temp], c = color_list[q_temp], label=label_list[q_temp])\n",
    "    a.errorbar(B_list, out[q_temp], out_sig[q_temp], ls='', c = color_list[q_temp])\n",
    "    \n",
    "    a.axvline(B_low_cut)\n",
    "    a.axvline(B_high_cut)\n",
    "    a.axvline(B_check, linestyle = 'dotted')\n",
    "\n",
    "x = np.concatenate((x_outside, x_peak))\n",
    "y = np.concatenate((y_outside, y_peak))\n",
    "err = np.concatenate((err_outside, err_peak))   \n",
    "err_sys = np.concatenate((err_sys_outside, err_sys_peak)) \n",
    "\n",
    "print(\"err_sys/y data (%)\")\n",
    "print(err_sys/y * 100)\n",
    "\n",
    "peak = np.max(y)\n",
    "idx = np.where(peak == y)[0][0]\n",
    "init_cond = [peak, x[idx], 5., np.min(y)]\n",
    "fitparams2, cov = curve_fit(lorentzian, x, y, sigma = err, p0 = init_cond)\n",
    "fiterr2 = np.sqrt(np.diag(cov))\n",
    "\n",
    "B_field = np.linspace(900, np.max(x), 1000)\n",
    "fit = lorentzian(B_field, *fitparams2)\n",
    "for a in axs:\n",
    "#         a.plot(B_field, fit, label = 'lorentzian')\n",
    "    a.plot(B_field, fit, c = color_list[q_p], label = label_list[q_p])\n",
    "\n",
    "print(\"Model {}\".format(q_p) + \": FWHM from Lorentzian = {} + {} G\".format(round(fitparams2[2], 2), round(fiterr2[2], 3)))\n",
    "\n",
    "\n",
    " \n",
    "axs[1].set_yscale('log')        \n",
    "\n",
    "univLossRate = 2. * h/mu * a_bar *1e6 ## cm^3\n",
    "print(\"universal loss rate, only isotropic terms = {}\".format(univLossRate))\n",
    "print(\"universal loss rate, including anisotropic terms = {}\".format(2.3 * univLossRate))\n",
    "univLossRate_anisotropic = 2.3 * univLossRate \n",
    "\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\"Tna = {} uk\".format(Tna*1e6))\n",
    "print(\"Tmol = {} uk\".format(Tmol*1e6))\n",
    "vrel = np.sqrt(8.*kb/np.pi * (Tna/m_na + Tmol/m_mol))\n",
    "vrel_sig = 1./vrel * 4*kb/np.pi * np.sqrt((sigma_Tna/m_na)**2 + (sigma_Tmol/m_mol)**2)\n",
    "krel = mu * vrel/h_bar\n",
    "krel_sig = mu/h_bar * vrel_sig\n",
    "\n",
    "ffactor = 4/np.pi\n",
    "oneOverkrel = 1/krel * ffactor\n",
    "oneOverkrel_sig = ffactor/krel**2 * krel_sig\n",
    "\n",
    "debroglie_lambda = oneOverkrel * np.pi\n",
    "debroglie_lambda_sig = oneOverkrel_sig * np.pi\n",
    "print(\"debroglie wavelength_correct? = {} nm ({} %)\".format(debroglie_lambda*1e9, debroglie_lambda_sig/debroglie_lambda*100))\n",
    "\n",
    "unitarity_limit = h_bar/mu * debroglie_lambda * 1e6 ## in cm^3/sec\n",
    "unitarity_limit_sig = unitarity_limit/2. * 1./(m_na*Tmol + m_mol*Tna) * np.sqrt((sigma_Tna * m_mol)**2 + (sigma_Tmol * m_na)**2)\n",
    "print(\"Unitarity limit: {} \".format(unitarity_limit))\n",
    "print(\"uncertainty {} %\".format(unitarity_limit_sig/unitarity_limit *100))\n",
    "\n",
    "for i, a in enumerate(axs):\n",
    "\n",
    "    a.axhline(unitarity_limit, color='r', linestyle= 'dashed', label = 'Unitarity limit')\n",
    "    a.axhline(univLossRate, color='k', linestyle= 'dotted', label = 'Univ. limit (isotropic $C_6$)')\n",
    "    a.axhline(univLossRate_anisotropic, color='k', linestyle= 'dashed', label = 'Univ. limit (+anisotropic $C_6$)')\n",
    "    \n",
    "    ## fill the uncertainty for Universal limit\n",
    "    ll = univLossRate_anisotropic * 3. * np.ones_like(B_field)\n",
    "    ul = univLossRate_anisotropic/3. * np.ones_like(B_field)\n",
    "    a.fill_between(B_field, ll, ul, color='black', alpha=0.25)\n",
    "    \n",
    "    ## fill the uncertainty for Unitarity limit\n",
    "    ll = unitarity_limit-unitarity_limit_sig * np.ones_like(B_field)\n",
    "    ul = unitarity_limit+unitarity_limit_sig * np.ones_like(B_field)\n",
    "    a.fill_between(B_field, ll, ul, color='red', alpha=0.25)\n",
    "    \n",
    "    a.set_xlabel('Bias field (Gauss)', fontsize = 18)\n",
    "    a.set_ylabel('loss rate coeff. ($cm^3$/s)', fontsize = 18)\n",
    "    a.set_ylim([np.min(y)/3., np.max([np.max(y)*2, 4*unitarity_limit])])\n",
    "    if i == 0 or i == 1:\n",
    "        a.set_ylim([np.min(y)/3., np.max(y)*1.5])\n",
    "        if i == 0:\n",
    "            a.set_xlim([970, 985])\n",
    "        a.axvline(B_lo_cut, linestyle = 'dotted', c = 'r')\n",
    "        a.axvline(B_up_cut, linestyle = 'dotted', c = 'r')\n",
    "    \n",
    "    a.tick_params(axis='x', labelsize=16)\n",
    "    a.tick_params(axis='y', labelsize=16)\n",
    "    a.legend(fontsize = 12)\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "##############################################\n",
    "# final = np.vstack((B_list, out[qq], out_sig[qq], out_sig_sys[qq])).T\n",
    "final = np.vstack((x, y, err, err_sys)).T\n",
    "\n",
    "\n",
    "np.savetxt('loss_rate_coeff_980G.txt', final, delimiter='\\t')\n",
    "# data = processData('loss_rate_coeff_980G.txt')\n",
    "\n",
    "BB = B_field"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The number ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "MEAN of init number raio = 10.0223663984\n",
      "MEAN of mean number raio = 15.5763973669\n",
      "\n",
      " after correcting the lattice factor... \n",
      "MEAN of init number raio = 11.6248799847\n",
      "MEAN of mean number raio = 18.2293158142\n",
      "\n",
      " NEAR THE PEAK... \n",
      "MEAN of init number raio = 5.5640858977\n",
      "MEAN of init Na num = 115.570472526 (3.25763260694%)\n",
      "MEAN of init mol num = 23.4844502978 (6.18414436778%)\n",
      "\n",
      " OUTSIDE THE PEAK... \n",
      "MEAN of init number raio = 14.465877213\n",
      "MEAN of init Na num = 304.608988454 (5.69437736237%)\n",
      "MEAN of init mol num = 30.0684583249  (7.52193841502%)\n"
     ]
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x720 with 5 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "latticeFactor_correct_ratio = 1\n",
    "\n",
    "nump = 5\n",
    "fig, axs = plt.subplots(nump, 1, figsize = (10, 10))\n",
    "\n",
    "init_ratio = np.array(init_na_num_pancakes)/np.array(init_mol_num_pancakes)\n",
    "mean_ratio = np.array(mean_na_num_pancakes)/np.array(mean_mol_num_pancakes)\n",
    "axs[0].scatter(B_list, init_ratio, label = 'init Na/init mol')\n",
    "axs[0].scatter(B_list, mean_ratio, label = 'mean Na/mean mol')\n",
    "\n",
    "B_lo_cut = 920.\n",
    "B_up_cut = 1015.\n",
    "for j in range(nump):\n",
    "    axs[j].axvline(B_lo_cut)\n",
    "    axs[j].axvline(B_up_cut)\n",
    "\n",
    "\n",
    "print(\"MEAN of init number raio = {}\".format(np.mean(init_ratio)))\n",
    "print(\"MEAN of mean number raio = {}\".format(np.mean(mean_ratio)))\n",
    "\n",
    "# processData(fileName, varindex = 0, dataindex = 1, errindex = 2, errsysindex = 3, flgerr = 'stdev'):\n",
    "x_i, ratio_i, std_i = processData_internal(B_list, init_ratio)\n",
    "x_m, ratio_m, std_m = processData_internal(B_list, mean_ratio)\n",
    "x, na_i, std_na_i = processData_internal(B_list, np.array(init_na_num_pancakes))\n",
    "x, mol_i, std_mol_i = processData_internal(B_list, np.array(init_mol_num_pancakes))\n",
    "\n",
    "axs[1].scatter(x_i, ratio_i, label = 'init Na/init mol')\n",
    "axs[1].errorbar(x_i, ratio_i, yerr = std_i, ls='')\n",
    "axs[2].scatter(x_m, ratio_m, label = 'mean Na/mean mol')\n",
    "axs[2].errorbar(x_m, ratio_m, yerr = std_m, ls='')\n",
    "################################################################################\n",
    "ratio_i_corr = ratio_i/latticeFactor_correct_ratio\n",
    "ratio_m_corr = ratio_m/latticeFactor_correct_ratio\n",
    "axs[1].scatter(x_i, ratio_i_corr, label = 'init Na/init mol corrected')\n",
    "axs[1].errorbar(x_i, ratio_i_corr, yerr = std_i, ls='')\n",
    "axs[2].scatter(x_m, ratio_m_corr, label = 'mean Na/mean mol corrected')\n",
    "axs[2].errorbar(x_m, ratio_m_corr, yerr = std_m, ls='')\n",
    "\n",
    "print(\"\")\n",
    "print(\" after correcting the lattice factor... \")\n",
    "print(\"MEAN of init number raio = {}\".format(np.mean(ratio_i_corr)))\n",
    "print(\"MEAN of mean number raio = {}\".format(np.mean(ratio_m_corr)))\n",
    "\n",
    "    \n",
    "    \n",
    "B_lo_cut = 974.\n",
    "B_up_cut = 984.\n",
    "x = x_i\n",
    "idx_near_peak = np.where((x < B_up_cut) & (x > B_lo_cut))[0]\n",
    "idx_out_peak = np.where((x > B_up_cut) | (x < B_lo_cut))[0]\n",
    "\n",
    "ratio_i_peak = []\n",
    "ratio_m_peak = []\n",
    "na_i_peak = []\n",
    "mol_i_peak = []\n",
    "for i in idx_near_peak:\n",
    "    ratio_i_peak.append(ratio_i_corr[i])\n",
    "    ratio_m_peak.append(ratio_m_corr[i])\n",
    "    na_i_peak.append(na_i[i])\n",
    "    mol_i_peak.append(mol_i[i])\n",
    "\n",
    "ratio_i_o = []\n",
    "ratio_m_o = []\n",
    "na_i_o = []\n",
    "mol_i_o = []\n",
    "for i in idx_out_peak:\n",
    "    ratio_i_o.append(ratio_i_corr[i])\n",
    "    ratio_m_o.append(ratio_m_corr[i])\n",
    "    na_i_o.append(na_i[i])\n",
    "    mol_i_o.append(mol_i[i])\n",
    "\n",
    "    \n",
    "print(\"\")\n",
    "print(\" NEAR THE PEAK... \")\n",
    "print(\"MEAN of init number raio = {}\".format(np.mean(ratio_i_peak)))\n",
    "print(\"MEAN of init Na num = {} ({}%)\".format(np.mean(na_i_peak), np.std(na_i_peak)/np.sqrt(len(na_i_peak))/np.mean(na_i_peak) * 100))\n",
    "print(\"MEAN of init mol num = {} ({}%)\".format(np.mean(mol_i_peak), np.std(mol_i_peak)/np.sqrt(len(mol_i_peak))/np.mean(mol_i_peak) * 100))\n",
    "\n",
    "# print(\"MEAN of mean number raio = {}\".format(np.mean(ratio_m_peak)))\n",
    "print(\"\")\n",
    "print(\" OUTSIDE THE PEAK... \")\n",
    "print(\"MEAN of init number raio = {}\".format(np.mean(ratio_i_o)))\n",
    "print(\"MEAN of init Na num = {} ({}%)\".format(np.mean(na_i_o), np.std(na_i_o)/np.sqrt(len(na_i_o))/np.mean(na_i_o) * 100))\n",
    "print(\"MEAN of init mol num = {}  ({}%)\".format(np.mean(mol_i_o), np.std(mol_i_o)/np.sqrt(len(mol_i_o))/np.mean(mol_i_o) * 100))\n",
    "\n",
    "for j in [1,2]:\n",
    "    axs[j].axvline(B_lo_cut, c='r')   \n",
    "    axs[j].axvline(B_up_cut, c = 'r')\n",
    "    \n",
    "    \n",
    "for a in axs:\n",
    "    a.legend()   "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 00-1.\n",
    "## Nominal rate -- beta fit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "relative omega = 2pi 54730.7692308 \n",
      "oscillator length = 119.968456649 nm\n",
      "Model 0: FWHM from Lorentzian = 4.6 + 0.452 G\n",
      " PJ fit fitting start... \n",
      " \n",
      " set fit func... \n",
      " The fit func:   <bound method PJfit.beta_norm of <__main__.PJfit instance at 0x000000000E575708>>\n",
      "\n",
      " Class PJ Fit, fit done.... \n",
      "\n",
      "[9.78253436e+02 2.82323479e+01 1.61271656e+00 5.41487089e-02\n",
      " 4.76141623e+00]\n",
      "\n",
      "degree of freedom = num of points - num of parameters = 27\n",
      "\n",
      "\n",
      " Bres = 978.253435555 +/- 0.0897185556185 G\n",
      " y = 0.0541487089049 +/- 0.00473580826078\n",
      "Delta = 28.2323479405 +/- 2.06098240713 G\n",
      "q = 1.61271655579  +/- 0.070966490721 \n",
      "\n",
      "reduced chi sq = 1.2338002477\n",
      "chi sq = 33.3126066879\n",
      "\n",
      "density correction factor = 4.76141622584 +/- 0.454878311662\n",
      "\n",
      "correlation coefficient matrix\n",
      "    Bres     |     Delta   |     q    |    y    |     norm  \n",
      "[[ 1.         -0.14437976  0.26219223  0.03021475 -0.0585205 ]\n",
      " [-0.14437976  1.          0.44288221 -0.86282744 -0.87873381]\n",
      " [ 0.26219223  0.44288221  1.         -0.72292586 -0.75693977]\n",
      " [ 0.03021475 -0.86282744 -0.72292586  1.          0.86969959]\n",
      " [-0.0585205  -0.87873381 -0.75693977  0.86969959  1.        ]]\n",
      "\n",
      "a_bar from C6 = 56.0987539436 a_bohr\n",
      "stored a_bar  = 56.0987539436 a_bohr\n",
      "\n",
      "a complex at the peak = (1.00007306319-18.4676610063j) a_bar\n",
      "modulus of a = 18.4947194944 a_bar\n",
      "modulus of a = 1037.53071817 a_bohr\n",
      "\n",
      "|a_complex| * k = 0.577785471645\n",
      " 2* beta * k = 1.15388029842\n",
      "\n",
      "unitarity limit = 1.05241631567e-09 cm^3/s\n",
      " ---- peak value of the fit = 87.7879282228\n",
      " ---- peak value of the fit/normalization = 18.4373564626\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "omega_na = 2*np.pi * 45. * 1e3\n",
    "omega_mol = 2*np.pi * 67. * 1e3\n",
    "omega = mu * (omega_mol/m_mol + omega_na/m_na)\n",
    "loo = np.sqrt(h_bar/(mu * omega))\n",
    "print(\"relative omega = 2pi {} \".format(omega/(2.*np.pi)))\n",
    "print(\"oscillator length = {} nm\".format(loo * 1e9))\n",
    "\n",
    "mean_overlap_density = 1.1e11\n",
    "\n",
    "unitarity_limit = 2.*h/mu * loo/(4. * np.sqrt(np.pi)) * 1e6\n",
    "rate_unitarity_limit = unitarity_limit * mean_overlap_density \n",
    "rate_univLossRate  = univLossRate * mean_overlap_density\n",
    "\n",
    "###################################################################################################\n",
    "\n",
    "\n",
    "Tna = Tna_out_init\n",
    "Tmol = Tmol_out_init\n",
    "\n",
    "Tna = Tna_peak_init\n",
    "Tmol = Tmol_peak_init\n",
    "\n",
    "Tna = (Tna_out + Tna_peak)/2\n",
    "Tmol = (Tmol_out + Tmol_peak)/2\n",
    "\n",
    "##############################################\n",
    "\n",
    "data = processData('loss_rate_coeff_980G.txt')\n",
    "\n",
    "scaling = mean_overlap_density\n",
    "x = data[0]\n",
    "y = data[1] * scaling \n",
    "err = data[2] * scaling \n",
    "\n",
    "fig, axs = plt.subplots(2, 1, figsize = (10, 9))\n",
    "for a in axs:\n",
    "    a.scatter(x, y, c = color_list[qq])\n",
    "    a.errorbar(x, y, err, ls='', c = color_list[qq])\n",
    "\n",
    "##########################################################\n",
    "## correct near the peak with magnetic field dependency ##\n",
    "x = data[0]\n",
    "y = data[1] * scaling * latticeFactor_correct_ratio/latticeFactor_correct_ratio\n",
    "err = data[2] * scaling * latticeFactor_correct_ratio/latticeFactor_correct_ratio\n",
    "\n",
    "for a in axs:\n",
    "    a.scatter(x, y, c = color_list[qq])\n",
    "    a.errorbar(x, y, err, ls='', c = color_list[qq])\n",
    "\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "## fit to asymmetric function\n",
    "##\n",
    "\n",
    "x_fit = []\n",
    "y_fit = []\n",
    "err_fit = []\n",
    "threshold = 1e-8 * 1e20\n",
    "for i, e in enumerate(y):\n",
    "    B = x[i]\n",
    "    if e < threshold and B < 1015 and B > 920:\n",
    "        x_fit.append(B)\n",
    "        y_fit.append(e)\n",
    "        err_fit.append(err[i])\n",
    "\n",
    "x_fit = np.array(x_fit)\n",
    "y_fit = np.array(y_fit)\n",
    "err_fit = np.array(err_fit)\n",
    "\n",
    "for a in axs:\n",
    "    a.scatter(x_fit, y_fit, c = 'darkgreen')\n",
    "    a.errorbar(x_fit, y_fit, err_fit, ls='', c = 'darkgreen')\n",
    "\n",
    "peak = np.max(y)\n",
    "idx = np.where(peak == y)[0][0]\n",
    "init_cond = [peak, x[idx], 5., np.min(y)]\n",
    "fitparams2, cov = curve_fit(lorentzian, x_fit, y_fit, sigma = err_fit, p0 = init_cond)\n",
    "fiterr2 = np.sqrt(np.diag(cov))\n",
    "\n",
    "B_field = np.linspace(900, np.max(x), 1000)\n",
    "lorentzian_fit = lorentzian(B_field, *fitparams2)\n",
    "for a in axs:\n",
    "    a.plot(B_field, lorentzian_fit, c = color_list[qq])\n",
    "\n",
    "print(\"Model {}\".format(qq) + \": FWHM from Lorentzian = {} + {} G\".format(round(fitparams2[2], 2), round(fiterr2[2], 3)))\n",
    "\n",
    "## POSITIVE Delta & q\n",
    "init_cond = [978.4156, 26.456, 1.416, .0252, 0.35156]\n",
    "bb = ((0.5*fitparams2[1], .1*fitparams2[2], 1e-5, 1e-4, 0.01),(1.5*fitparams2[1], 100*fitparams2[2], 1e2, 1, 100.))\n",
    "\n",
    "f = PJfit()\n",
    "f.flg = 'beta_norm'\n",
    "f.Tna = Tna\n",
    "f.Tmol = Tmol\n",
    "f.init_cond = init_cond\n",
    "f.bounds = bb\n",
    "\n",
    "param, err1, corr_coeff_mat = f.fit(x_fit, y_fit, err_fit)\n",
    "\n",
    "for a in axs:\n",
    "    a.plot(BB, f.funcToFit(BB, *param), c = 'darkgreen', linestyle = 'dashdot')\n",
    "\n",
    "print(param)\n",
    "\n",
    "delta = param[1]\n",
    "ratio = param[2]\n",
    "y_param = param[3]\n",
    "norm = param[4]\n",
    "## normalization factor = 2h/mu  * (density correction)\n",
    "\n",
    "delta_PJ = delta\n",
    "Bres_PJ = param[0]\n",
    "\n",
    "numparam = 5\n",
    "asymmetric_fit = f.funcToFit(x_fit, *param)\n",
    "red_chisq = reducedChisq(asymmetric_fit, y_fit, err_fit, numparam)\n",
    "\n",
    "print(\"\")\n",
    "print(\" Bres = {} +/- {} G\".format(Bres_PJ, err1[0]))\n",
    "print(\" y = {} +/- {}\".format(y_param, err1[3]))\n",
    "print(\"Delta = {} +/- {} G\".format(delta, err1[1]))\n",
    "print(\"q = {}  +/- {} \".format(ratio, err1[2]))\n",
    "print(\"\")\n",
    "print(\"reduced chi sq = {}\".format(red_chisq))\n",
    "print(\"chi sq = {}\".format(red_chisq * (len(x_fit)-numparam)))\n",
    "print(\"\")\n",
    "# constant = 2 * h/mu \n",
    "density_correct = norm\n",
    "print(\"density correction factor = {} +/- {}\".format(density_correct, err1[4]))\n",
    "print(\"\")\n",
    "\n",
    "print(\"correlation coefficient matrix\")\n",
    "print(\"    Bres     |     Delta   |     q    |    y    |     norm  \")\n",
    "print(corr_coeff_mat)\n",
    "print(\"\")\n",
    "\n",
    "print(\"a_bar from C6 = {} a_bohr\".format(a_bar/a_bohr))\n",
    "print(\"stored a_bar  = {} a_bohr\".format(f.a_bar/a_bohr))\n",
    "\n",
    "B_res = param[0]\n",
    "complex_a_peak = complex_a_PJ(B_res*0.99999999, B_res, delta, y_param, ratio)/a_bar\n",
    "\n",
    "vrel = np.sqrt(8.*kb/np.pi * (Tna/m_na + Tmol/m_mol))\n",
    "kk = mu * vrel/h_bar\n",
    "\n",
    "print(\"\")\n",
    "print(\"a complex at the peak = {} a_bar\".format(complex_a_peak))\n",
    "print(\"modulus of a = {} a_bar\".format(np.abs(complex_a_peak)))\n",
    "print(\"modulus of a = {} a_bohr\".format(np.abs(complex_a_peak * a_bar/a_bohr)))\n",
    "print(\"\")\n",
    "\n",
    "ka = np.abs(complex_a_peak * (a_bar) * kk)\n",
    "two_beta_kk = -2. * np.imag(complex_a_peak) *a_bar * kk\n",
    "print(\"|a_complex| * k = {}\".format(ka))\n",
    "print(\" 2* beta * k = {}\".format(two_beta_kk))\n",
    "\n",
    "\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "\n",
    "print(\"\")\n",
    "print(\"unitarity limit = {} cm^3/s\".format(unitarity_limit))\n",
    "print(\" ---- peak value of the fit = {}\".format(max(asymmetric_fit)))\n",
    "print(\" ---- peak value of the fit/normalization = {}\".format(max(asymmetric_fit)/density_correct))\n",
    "\n",
    "print(\"\")\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "for a in axs:\n",
    "    a.axhline(rate_unitarity_limit, color='r', linestyle= 'dashed', label = '2D Unitarity limit')\n",
    "    a.axhline(rate_univLossRate, color='k', linestyle= 'dotted', label = 'Univ. limit (isotropic $C_6$)')\n",
    "    \n",
    "\n",
    "    a.set_xlabel('Bias field (Gauss)', fontsize = 18)\n",
    "    a.set_ylabel('Loss rate (1/s)', fontsize = 18)\n",
    " \n",
    "\n",
    "    a.tick_params(axis='x', labelsize=16)\n",
    "    a.tick_params(axis='y', labelsize=16)\n",
    "    a.legend(fontsize = 12)\n",
    "    \n",
    "axs[0].set_xlim([970, 985])\n",
    "axs[1].set_yscale('log')  \n",
    "        \n",
    "plt.tight_layout()\n",
    "# plt.savefig('loss_rate_coeff_980G_log_!.pdf', dpi = 500)\n",
    "# plt.savefig('loss_rate_coeff_980G_log_!.png', dpi = 500)\n",
    "##########################################################################\n",
    "##########################################################################\n",
    "##########################################################################\n",
    "##########################################################################\n",
    "\n",
    "param_optimal = param\n",
    "f_optimal = f\n",
    "f_optimal.a_bar = a_bar\n",
    "f_optimal.Tna = f.Tna\n",
    "f_optimal.Tmol = f.Tmol\n",
    "f_optimal.norm = param_optimal[-1]\n",
    "\n",
    "param_big = param\n",
    "funcToFit_big = f.funcToFit\n",
    "x_fit_big, y_fit_big, err_fit_big = x_fit, y_fit, err_fit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loss rate with lifetime curve"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4L, 47L)\n",
      "<bound method PJfit.beta_norm of <__main__.PJfit instance at 0x000000000E575708>>\n",
      "1.5232308112316313e-06\n",
      "1.7866642622054253e-06\n",
      "[9.78253436e+02 2.82323479e+01 1.61271656e+00 5.41487089e-02\n",
      " 4.76141623e+00]\n",
      "C:\\Users\\SonHyungmok\\Dropbox (MIT)\\BEC3-PAPERS\\NaLi-Na Feshbach resonance\\data\\lifetime_comparison\\for paper\n",
      "two body loss rate = 1.29932484186 (1/sec)\n",
      "for 976G, loss rate = 80.7578151938 (1/sec)\n",
      "for 999G, loss rate = 1.94984465134 (1/sec)\n",
      "C:\\Users\\SonHyungmok\\Dropbox (MIT)\\BEC3-PAPERS\\NaLi-Na Feshbach resonance\\data\\lifetime_comparison\\for paper\n",
      "two body loss rate = 1.29932484186 (1/sec)\n",
      "for 976G, loss rate = 80.7578151938 (1/sec)\n",
      "for 999G, loss rate = 1.94984465134 (1/sec)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0xc20cc50>"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x468 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.gridspec as gridspec\n",
    "\n",
    "# plt.rcParams.update({\n",
    "#     \"text.usetex\": True,\n",
    "#     \"font.family\": \"sans-serif\",\n",
    "#     \"font.sans-serif\": [\"Helvetica\"],\n",
    "# #     \"mathtext.fontset\": \"dejavusans\",\n",
    "# #     \"mathtext.default\": 'regular',\n",
    "#     \"mathtext.rm\" : \"Helvetica\",\n",
    "#      \"pgf.preamble\": \"\\n\".join([\n",
    "#          r\"\\usepackage{amsmath}\", \n",
    "#          r\"\\usepackage{braket}\", \n",
    "#          r\"\\usepackage{url}\",            # load additional packages\n",
    "#          r\"\\usepackage{unicode-math}\",   # unicode math setup\n",
    "#          r\"\\setmainfont{DejaVu Serif}\",  # serif font via preamble\n",
    "#      ])\n",
    "# })\n",
    "\n",
    "data = processData('loss_rate_coeff_980G.txt')\n",
    "print(data.shape)\n",
    "\n",
    "fig = plt.figure(figsize = (10, 6.5))\n",
    "wr = [2, 1]\n",
    "hr = [1, 1]\n",
    "\n",
    "gs = gridspec.GridSpec(ncols=1, nrows=1, figure=fig)\n",
    "ax2 = fig.add_subplot(gs[0, 0], facecolor = 'w')\n",
    "\n",
    "fig.subplots_adjust(hspace=.4) \n",
    "## linear scale, near peak\n",
    "\n",
    "left, bottom, width, height = [0.623, 0.552, 0.275, 0.325]\n",
    "ax3 =fig.add_axes([left, bottom, width, height])\n",
    "\n",
    "axs = [ax2, ax3]\n",
    "##########################################################\n",
    "## correct near the peak with magnetic field dependency ##\n",
    "\n",
    "flg_normalize = False\n",
    "if flg_normalize is True:\n",
    "    norm_or_not = param_optimal[-1]\n",
    "else:\n",
    "    norm_or_not = 1.\n",
    "\n",
    "scaling = mean_overlap_density\n",
    "x = data[0]\n",
    "y = data[1] * scaling * latticeFactor_correct_ratio/norm_or_not/latticeFactor_correct_ratio\n",
    "err = data[2] * scaling * latticeFactor_correct_ratio/norm_or_not/latticeFactor_correct_ratio\n",
    "err_sys = data[3] * scaling * latticeFactor_correct_ratio/norm_or_not/latticeFactor_correct_ratio\n",
    "\n",
    "for a in axs:\n",
    "    a.scatter(x, y, c = 'g')\n",
    "    a.errorbar(x, y, err, ls='', c = 'g')\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "## fit to asymmetric function\n",
    "##\n",
    "## select the total uncertainty including the systematic error 30%    \n",
    "\n",
    "x_fit = []\n",
    "y_fit = []\n",
    "err_fit = []\n",
    "err_sys_fit = []\n",
    "\n",
    "x_fit_s = []\n",
    "y_fit_s = []\n",
    "err_fit_s = []\n",
    "err_sys_fit_s = []\n",
    "\n",
    "threshold = 1e-8 * 1e20\n",
    "for i, e in enumerate(y):\n",
    "    B = x[i]\n",
    "    if e < threshold and B < 1015 and B > 920:\n",
    "        x_fit.append(B)\n",
    "        y_fit.append(e)\n",
    "        err_fit.append(err[i])\n",
    "        err_sys_fit.append(err_sys[i])\n",
    "    \n",
    "    if e < threshold and B > 1000:\n",
    "        x_fit_s.append(B)\n",
    "        y_fit_s.append(e)\n",
    "        err_fit_s.append(err[i])\n",
    "        err_sys_fit_s.append(err_sys[i])\n",
    "\n",
    "x_fit = np.array(x_fit)\n",
    "y_fit = np.array(y_fit)\n",
    "err_fit = np.array(err_fit)\n",
    "err_sys_fit = np.array(err_sys_fit)\n",
    "\n",
    "# print(err_sys_fit)\n",
    "\n",
    "x_fit_s = np.array(x_fit_s)\n",
    "y_fit_s = np.array(y_fit_s)\n",
    "err_fit_s = np.array(err_fit_s)\n",
    "err_sys_fit_s = np.array(err_sys_fit_s)\n",
    "\n",
    "\n",
    "for a in axs:\n",
    "    a.scatter(x_fit_s, y_fit_s, c = 'k', alpha = 0.8)\n",
    "    a.errorbar(x_fit_s, y_fit_s, err_fit_s, ls='', c = 'k', alpha = 0.8)\n",
    "    \n",
    "    \n",
    "for a in axs:\n",
    "    a.scatter(x_fit, y_fit, c = 'b')\n",
    "    a.errorbar(x_fit, y_fit, err_fit, ls='', c = 'b')\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "## fit to asymmetric function\n",
    "##\n",
    "print(f_optimal.funcToFit)\n",
    "print(f_optimal.Tna)\n",
    "print(f_optimal.Tmol)\n",
    "print(param_optimal)\n",
    "for i, a in enumerate(axs):\n",
    "    a.plot(BB, f_optimal.funcToFit(BB, *param_optimal)/norm_or_not, c = 'b')\n",
    "    \n",
    "    if i == 2:\n",
    "        continue\n",
    "    a.plot(BB, lorentzian_fit/norm_or_not, c = 'r', alpha = 0.5)\n",
    "\n",
    "\n",
    "ax2.axhline(rate_unitarity_limit, color='r', linestyle= 'dotted', label = 'Unitarity limit')\n",
    "ax2.axhline(rate_univLossRate, color='k', linestyle= 'dashed', label = 'Universal limit')\n",
    "\n",
    "ax2.set_xlabel('Bias field (G)', fontsize = 18)\n",
    "ax2.set_ylabel('Loss rate ' +'$\\gamma$' +' (1/s)', fontsize = 18)\n",
    "\n",
    "ax2.set_ylim([np.min(y_fit)/3., 300])\n",
    "ax2.set_yscale('log')  \n",
    "ax2.tick_params(axis='y', labelsize=18)\n",
    "\n",
    "ax2.tick_params(axis='x', which='minor')\n",
    "ax2.set_xticks([920, 960, 1000, 1040])\n",
    "ax2.xaxis.set_minor_locator(tck.AutoMinorLocator())\n",
    "ax2.tick_params(axis='x', labelsize=18)\n",
    "ax2.set_xlim([902, 1070])\n",
    "\n",
    "ax2.legend(bbox_to_anchor=(-0.0, 0.835), loc = 'upper left', handlelength = 1.0, frameon = True, fontsize = 16., labelspacing = 0.4, facecolor = 'w', borderpad = 0.1, edgecolor ='w',  framealpha = 0., markerscale = 1)\n",
    "\n",
    "working_dir = os.getcwd()\n",
    "lclc = lc()\n",
    "out= lclc.calc2(fullpath_lifetimecurve)\n",
    "\n",
    "[tt, fit_list, time_list, data_list, err_list, label_list, na_packed] = lclc.calc2(fullpath_lifetimecurve)\n",
    "\n",
    "# label_list[-1] = \"977.7G\"\n",
    "color_list2 = ['r', 'b', 'k']\n",
    "for i in range(len(fit_list)):\n",
    "    if i == 0:\n",
    "        continue\n",
    "    ax3.plot(tt, fit_list[i], c=color_list2[i])\n",
    "    ax3.scatter(time_list[i], data_list[i], c=color_list2[i], label = label_list[i])\n",
    "    ax3.errorbar(time_list[i], data_list[i], yerr = 2.*err_list[i], ls ='', c=color_list2[i])\n",
    "\n",
    "zq = 0\n",
    "label_list[zq] = '977.7G'\n",
    "ax3.plot(tt, fit_list[zq], c=color_list2[zq])\n",
    "ax3.scatter(time_list[zq], data_list[zq], c=color_list2[zq], label = label_list[zq])\n",
    "ax3.errorbar(time_list[zq], data_list[zq], yerr = err_list[zq], ls ='', c=color_list2[zq])\n",
    "\n",
    "ax3.scatter([],[], label = '(NaLi only)', c='w')\n",
    "\n",
    "    \n",
    "ax3.set_xlim([-2, 110])\n",
    "ax3.set_ylim([0, 39])\n",
    "ax3.set_ylabel('NaLi number', fontsize = 16, backgroundcolor='w')\n",
    "ax3.set_yticks([0, 17, 34])\n",
    "ax3.set_xlabel('Hold times (ms)', fontsize =16)\n",
    "\n",
    "ax3.tick_params(axis='x', labelsize=16)\n",
    "ax3.tick_params(axis='y', labelsize=16)\n",
    "ax3.legend(loc = 'lower right', handlelength = 1.0, frameon = True, fontsize = 15, labelspacing = 0.25, facecolor = 'w', borderpad = 0.01, edgecolor ='w',  framealpha = 0., markerscale = 1)\n",
    "\n",
    "####################################################################\n",
    "####################################################################\n",
    "# plt.savefig(join('PAPER_FIGURES','Figure2_lossrate_withlifetime_new.pdf'), bbox_inches='tight', pad_inches=0.01, dpi = 300)\n",
    "# plt.savefig(join('PAPER_FIGURES','Figure2_lossrate_withlifetime_new.png'), bbox_inches='tight', pad_inches=0.01, dpi = 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 00-2. loss rate ratio"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "ratio_unitarity_limit = unitarity_limit/(2.*h/mu * a_bar * 1e6)\n",
    "ratio_universal_limit = 1."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model 0: FWHM from Lorentzian = 4.6 + 0.452 G\n",
      " PJ fit fitting start... \n",
      " \n",
      " set fit func... \n",
      " The fit func:   <bound method PJfit.imag_a_norm_3dcorr of <__main__.PJfit instance at 0x000000000D375288>>\n",
      "\n",
      " Class PJ Fit, fit done.... \n",
      "\n",
      "[9.78651841e+02 2.81426089e+01 1.60068136e+00 9.38452533e-03\n",
      " 1.32582212e+00]\n",
      "\n",
      "degree of freedom = num of points - num of parameters = 27\n",
      "\n",
      "\n",
      " Bres = 978.651841154 +/- 0.0984834155527 G\n",
      " y = 0.00938452532844 +/- 0.00474930891553\n",
      "Delta = 28.1426089059 +/- 2.0408829598 G\n",
      "q = 1.60068136473  +/- 0.070212975576 \n",
      "\n",
      "reduced chi sq = 1.2338002477\n",
      "chi sq = 33.3126066879\n",
      "\n",
      "density correction factor = 1.3258221223 +/- 0.44867088703\n",
      "\n",
      "correlation coefficient matrix\n",
      "    Bres     |     Delta   |     q    |    y    |     norm  \n",
      "[[ 1.          0.23483217  0.54515114 -0.35415752  0.31184299]\n",
      " [ 0.23483217  1.          0.43062428 -0.85756809  0.81328288]\n",
      " [ 0.54515114  0.43062428  1.         -0.72292564  0.67967869]\n",
      " [-0.35415752 -0.85756809 -0.72292564  1.         -0.99024463]\n",
      " [ 0.31184299  0.81328288  0.67967869 -0.99024463  1.        ]]\n",
      "\n",
      "a_bar from C6 = 56.0987539436 a_bohr\n",
      "stored a_bar  = 56.0987539436 a_bohr\n",
      "\n",
      "a complex at the BACKGROUND = (1.64663059699-0.0133089776568j) a_bar\n",
      "a complex at the BACKGROUND = (92.3739246967-0.746617062809j) a_bohr\n",
      "\n",
      "a complex at the peak = (1.00246658549-106.558399542j) a_bar\n",
      "a complex at the peak = (56.237126316-5977.79343656j) a_bohr\n",
      "modulus of a = 106.563114877 a_bar\n",
      "modulus of a = 5978.05796096 a_bohr\n",
      "\n",
      "|a_complex| * k = 3.32909183121\n",
      " 2* beta * k = 6.65788904299\n",
      "\n",
      "\n",
      "effective range...\n",
      "reff = 2.09916820082 nm\n",
      "k = 0.0105072673817 1/nm\n",
      "1/2 * reff * kk**2 = 115876.884798\n",
      "6000a_bohr * 1/2 * reff * kk**2 = 0.0214951621299\n",
      "\n",
      "\n",
      "\n",
      "unitarity limit = 1.05241631567e-09 cm^3/s\n",
      " ---- peak value of the fit = 4.31576270832\n",
      " ---- peak value of the fit/normalization = 3.25515967469\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x648 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = processData('loss_rate_coeff_980G.txt')\n",
    "\n",
    "scaling = (2.*h/mu * a_bar * 1e6)**-1\n",
    "x = data[0]\n",
    "y = data[1] * scaling\n",
    "err = data[2] * scaling\n",
    "\n",
    "fig, axs = plt.subplots(2, 1, figsize = (10, 9))\n",
    "for a in axs:\n",
    "    a.scatter(x, y, c = color_list[qq])\n",
    "    a.errorbar(x, y, err, ls='', c = color_list[qq])\n",
    "\n",
    "##########################################################\n",
    "## correct near the peak with magnetic field dependency ##\n",
    "x = data[0]\n",
    "y = data[1] * scaling * latticeFactor_correct_ratio/latticeFactor_correct_ratio\n",
    "err = data[2] * scaling * latticeFactor_correct_ratio/latticeFactor_correct_ratio\n",
    "\n",
    "for a in axs:\n",
    "    a.scatter(x, y, c = color_list[qq])\n",
    "    a.errorbar(x, y, err, ls='', c = color_list[qq])\n",
    "\n",
    "\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "## fit to asymmetric function\n",
    "##\n",
    "\n",
    "x_fit = []\n",
    "y_fit = []\n",
    "err_fit = []\n",
    "threshold = 1e-8 * 1e20\n",
    "for i, e in enumerate(y):\n",
    "    B = x[i]\n",
    "    if e < threshold and B < 1015 and B > 920:\n",
    "        x_fit.append(B)\n",
    "        y_fit.append(e)\n",
    "        err_fit.append(err[i])\n",
    "\n",
    "x_fit = np.array(x_fit)\n",
    "y_fit = np.array(y_fit)\n",
    "err_fit = np.array(err_fit)\n",
    "\n",
    "for a in axs:\n",
    "    a.scatter(x_fit, y_fit, c = 'darkgreen')\n",
    "    a.errorbar(x_fit, y_fit, err_fit, ls='', c = 'darkgreen')\n",
    "\n",
    "peak = np.max(y)\n",
    "idx = np.where(peak == y)[0][0]\n",
    "init_cond = [peak, x[idx], 5., np.min(y)]\n",
    "fitparams2, cov = curve_fit(lorentzian, x_fit, y_fit, sigma = err_fit, p0 = init_cond)\n",
    "fiterr2 = np.sqrt(np.diag(cov))\n",
    "\n",
    "B_field = np.linspace(900, np.max(x), 1000)\n",
    "lorentzian_fit = lorentzian(B_field, *fitparams2)\n",
    "for a in axs:\n",
    "    a.plot(B_field, lorentzian_fit, c = color_list[qq])\n",
    "\n",
    "print(\"Model {}\".format(qq) + \": FWHM from Lorentzian = {} + {} G\".format(round(fitparams2[2], 2), round(fiterr2[2], 3)))\n",
    "\n",
    "\n",
    "\n",
    "# def imag_a_norm(B, B0, delta, q, y, norm):\n",
    "## POSITIVE Delta & q\n",
    "init_cond = [fitparams2[1], fitparams2[2], 1, .001, 0.1]\n",
    "bb = ((0.5*fitparams2[1], .1*fitparams2[2], 1e-5, 1e-4, 0.01),(1.5*fitparams2[1], 100*fitparams2[2], 1e2, 1, 15))\n",
    "\n",
    "f = PJfit()\n",
    "f.flg = 'norm_3dcorr'\n",
    "f.Tna = Tna\n",
    "f.Tmol = Tmol\n",
    "f.init_cond = init_cond\n",
    "f.bounds = bb\n",
    "f.norm = param_optimal[-1]\n",
    "\n",
    "param, err1, corr_coeff_mat = f.fit(x_fit, y_fit, err_fit)\n",
    "\n",
    "BB = B_field\n",
    "for a in axs:\n",
    "    a.plot(BB, f.funcToFit(BB, *param), c = 'darkgreen', linestyle = 'dashdot')\n",
    "\n",
    "print(param)\n",
    "\n",
    "delta = param[1]\n",
    "ratio = param[2]\n",
    "y_param = param[3]\n",
    "norm = param[4]\n",
    "## normalization factor = 2h/mu  * (density correction)\n",
    "\n",
    "delta_PJ = delta\n",
    "Bres_PJ = param[0]\n",
    "\n",
    "numparam = 5\n",
    "asymmetric_fit = f.funcToFit(x_fit, *param)\n",
    "red_chisq = reducedChisq(asymmetric_fit, y_fit, err_fit, numparam)\n",
    "\n",
    "print(\"\")\n",
    "print(\" Bres = {} +/- {} G\".format(Bres_PJ, err1[0]))\n",
    "print(\" y = {} +/- {}\".format(y_param, err1[3]))\n",
    "print(\"Delta = {} +/- {} G\".format(delta, err1[1]))\n",
    "print(\"q = {}  +/- {} \".format(ratio, err1[2]))\n",
    "print(\"\")\n",
    "print(\"reduced chi sq = {}\".format(red_chisq))\n",
    "print(\"chi sq = {}\".format(red_chisq * (len(x_fit)-numparam)))\n",
    "print(\"\")\n",
    "# constant = 2 * h/mu \n",
    "density_correct = norm\n",
    "# density_correct_optimal = density_correct\n",
    "print(\"density correction factor = {} +/- {}\".format(density_correct, err1[4]))\n",
    "print(\"\")\n",
    "\n",
    "print(\"correlation coefficient matrix\")\n",
    "print(\"    Bres     |     Delta   |     q    |    y    |     norm  \")\n",
    "print(corr_coeff_mat)\n",
    "print(\"\")\n",
    "\n",
    "print(\"a_bar from C6 = {} a_bohr\".format(a_bar/a_bohr))\n",
    "print(\"stored a_bar  = {} a_bohr\".format(f.a_bar/a_bohr))\n",
    "\n",
    "\n",
    "complex_a_background = complex_a_PJ(0, B_res, delta, y_param, ratio)/a_bar\n",
    "print(\"\")\n",
    "print(\"a complex at the BACKGROUND = {} a_bar\".format(complex_a_background))\n",
    "print(\"a complex at the BACKGROUND = {} a_bohr\".format(complex_a_background * f.a_bar/a_bohr))\n",
    "\n",
    "B_res = param[0]\n",
    "complex_a_peak = complex_a_PJ(B_res*0.99999999, B_res, delta, y_param, ratio)/a_bar\n",
    "\n",
    "vrel = np.sqrt(8.*kb/np.pi * (Tna/m_na + Tmol/m_mol))\n",
    "kk = mu * vrel/h_bar\n",
    "\n",
    "print(\"\")\n",
    "print(\"a complex at the peak = {} a_bar\".format(complex_a_peak))\n",
    "print(\"a complex at the peak = {} a_bohr\".format(complex_a_peak * f.a_bar/a_bohr))\n",
    "print(\"modulus of a = {} a_bar\".format(np.abs(complex_a_peak)))\n",
    "print(\"modulus of a = {} a_bohr\".format(np.abs(complex_a_peak * a_bar/a_bohr)))\n",
    "print(\"\")\n",
    "\n",
    "ka = np.abs(complex_a_peak * (f.a_bar) * kk)\n",
    "two_beta_kk = -2. * np.imag(complex_a_peak) * f.a_bar * kk\n",
    "print(\"|a_complex| * k = {}\".format(ka))\n",
    "print(\" 2* beta * k = {}\".format(two_beta_kk))\n",
    "\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "### effective range factor\n",
    "print(\"effective range...\")\n",
    "reff = 2*h_bar**2/(f.del_mu * delta * mu * f.q * f.a_bar)\n",
    "print(\"reff = {} nm\".format(reff * 1e9))\n",
    "print(\"k = {} 1/nm\".format(kk*1e-9))\n",
    "print(\"1/2 * reff * kk**2 = {}\".format(0.5 * reff * kk**2))\n",
    "print(\"6000a_bohr * 1/2 * reff * kk**2 = {}\".format(3500. * a_bohr * 0.5 * reff * kk**2))\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "print(\"\")\n",
    "print(\"unitarity limit = {} cm^3/s\".format(unitarity_limit))\n",
    "print(\" ---- peak value of the fit = {}\".format(max(asymmetric_fit)))\n",
    "print(\" ---- peak value of the fit/normalization = {}\".format(max(asymmetric_fit)/density_correct))\n",
    "print(\"\")\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "for a in axs:\n",
    "    a.axhline(ratio_unitarity_limit, color='r', linestyle= 'dashed', label = 'Unitarity limit')\n",
    "    a.axhline(ratio_universal_limit, color='k', linestyle= 'dotted', label = 'Univ. limit')\n",
    "    \n",
    "    a.set_xlabel('Bias field (Gauss)', fontsize = 18)\n",
    "    a.set_ylabel('loss rate coeff. ($cm^3$/s)', fontsize = 18)\n",
    " \n",
    "\n",
    "    a.tick_params(axis='x', labelsize=16)\n",
    "    a.tick_params(axis='y', labelsize=16)\n",
    "    a.legend(fontsize = 12)\n",
    "    \n",
    "axs[0].set_ylim([np.min(y)/3., np.max(y)*1.5])\n",
    "axs[0].set_xlim([970, 985])\n",
    "\n",
    "axs[1].set_ylim([np.min(y)/3., np.max([np.max(y)*5, 2*unitarity_limit])])\n",
    "axs[1].set_yscale('log')  \n",
    "        \n",
    "plt.tight_layout()\n",
    "##########################################################################\n",
    "##########################################################################\n",
    "##########################################################################\n",
    "##########################################################################\n",
    "\n",
    "param_optimal = param\n",
    "f_optimal = f\n",
    "f_optimal.a_bar = a_bar\n",
    "f_optimal.Tna = f.Tna\n",
    "f_optimal.Tmol = f.Tmol\n",
    "f_optimal.norm = param_optimal[-1]\n",
    "\n",
    "param_big = param\n",
    "funcToFit_big = f.funcToFit\n",
    "x_fit_big, y_fit_big, err_fit_big = x_fit, y_fit, err_fit"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# ** Small resonance fit\n",
    "## **** small resonance -- q, y fixed\n",
    "## fit parameters: Bres, $\\Delta$, $\\Gamma_{ext}$, slope, Bres2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Model 0: FWHM from Lorentzian = 8.39 + 4.149 G\n",
      " set fit func... \n",
      "<bound method PJfit.imag_a_delta_gamma_only_slope_3dcorr of <__main__.PJfit instance at 0x000000000C7AB308>>\n",
      "stored q from optimal param = 1.60068136473\n",
      "stored y from optimal param = 0.00938452532844\n",
      "stored normalization = 1.3258221223\n",
      "stored a_bar ratio = 1.0 \n",
      "stored kappa ratio = 1.0\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  ======== fitting with substraction of the tail of the strong resonance... ========    \n",
      "\n",
      "15\n",
      "15\n",
      "15\n",
      " PJ fit fitting start... \n",
      " \n",
      " set fit func... \n",
      " The fit func:   <bound method PJfit.imag_a_delta_gamma_only_slope_3dcorr of <__main__.PJfit instance at 0x000000000C7AB308>>\n",
      "\n",
      " Class PJ Fit, fit done.... \n",
      "\n",
      "\n",
      "~~~~~~~~~~<bound method PJfit.imag_a_delta_gamma_only_slope_3dcorr of <__main__.PJfit instance at 0x000000000C7AB308>>\n",
      "0.009384525328438503\n",
      "1.600681364731036\n",
      "\n",
      "[1.03075588e+03 1.51821657e-01 5.39761627e+00 0.00000000e+00\n",
      " 0.00000000e+00]\n",
      "[1.03075588e+03 1.51821657e-01 5.39761627e+00 1.45533037e-03\n",
      " 1.00937136e+03]\n",
      "\n",
      "correlation coefficient matrix\n",
      "    Bres     |    Delta   |    gamma    |     slope    |     Bres2\n",
      "[[ 1.          0.10747107 -0.01712458 -0.15159126 -0.13394967]\n",
      " [ 0.10747107  1.          0.78076126  0.40257054  0.72602824]\n",
      " [-0.01712458  0.78076126  1.          0.37818581  0.63783811]\n",
      " [-0.15159126  0.40257054  0.37818581  1.          0.82807733]\n",
      " [-0.13394967  0.72602824  0.63783811  0.82807733  1.        ]]\n",
      "\n",
      "\n",
      "degree of freedom = num of points - num of parameters = 10\n",
      "\n",
      "\n",
      " q = 1.60068136473\n",
      " y = 0.00938452532844\n",
      "\n",
      " Bres = 1030.75587583 +/- 0.327954610758 G\n",
      "Delta = 0.151821657454 +/- 0.0277263831157 G\n",
      "Gamma_ext = 5.39761627228 +/- 0.0277263831157 G\n",
      "\n",
      "slope = 0.00145533036987 +/- 1.20581780001 \n",
      "Bres2 = 1009.37136305 +/- 0.000209191887814 G\n",
      "\n",
      "reduced chi sq = 2.37418716497\n",
      "chi sq = 23.7418716497\n",
      "\n",
      "\n",
      "|a_complex| * k = 3.32919828191\n",
      " 2* beta * k = 6.65775306591\n",
      "\n",
      "\n",
      "\n",
      "effective range...\n",
      "reff = 389.114904252 nm\n",
      "k = 0.0099925336613 1/nm\n",
      "1/2 * reff * kk**2 = 19426703.4218\n",
      "alpha_max * 1/2 * reff * kk**2 = 0.0926653753218\n",
      "\n",
      "\n",
      " reached\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x1152 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "data = processData('loss_rate_coeff_980G.txt')\n",
    "\n",
    "scaling = (2*h/mu * a_bar * 1e6)**-1\n",
    "x = data[0]\n",
    "y = data[1] * scaling\n",
    "err = data[2] * scaling\n",
    "\n",
    "##########################################################\n",
    "## correct near the peak with magnetic field dependency ##\n",
    "x = data[0]\n",
    "y = data[1] * scaling * latticeFactor_correct_ratio/latticeFactor_correct_ratio\n",
    "err = data[2] * scaling * latticeFactor_correct_ratio/latticeFactor_correct_ratio\n",
    "\n",
    "BB = B_field\n",
    "fig, axs = plt.subplots(4, 1, figsize = (10, 16))\n",
    "for i, a in enumerate(axs):\n",
    "    if i == len(axs) - 1:\n",
    "        continue\n",
    "    a.scatter(x, y, c = color_list[qq])\n",
    "    a.errorbar(x, y, err, ls='', c = color_list[qq])\n",
    "    a.plot(BB, funcToFit_big(BB, *param_big), c = 'darkgreen', linestyle = 'dashdot')\n",
    "\n",
    "for i, a in enumerate(axs):\n",
    "    if i == len(axs) - 1:\n",
    "        continue\n",
    "    a.scatter(x_fit_big, y_fit_big, c = 'darkgreen')\n",
    "    a.errorbar(x_fit_big, y_fit_big, err_fit_big, ls='', c = 'darkgreen')\n",
    "\n",
    "##########################################################################\n",
    "## select small feature for its fit...\n",
    "\n",
    "def linear_offset(x, a, x0):\n",
    "    return a*(x - x0)\n",
    "\n",
    "x_fit = []\n",
    "y_fit = []\n",
    "err_fit = []\n",
    "threshold = 1e-8 *1e20\n",
    "for i, e in enumerate(y):\n",
    "    B = x[i]\n",
    "    if e < threshold and B > 1000:\n",
    "        x_fit.append(B)\n",
    "        y_fit.append(e)\n",
    "        err_fit.append(err[i])\n",
    "    \n",
    "x_fit = np.array(x_fit)\n",
    "y_fit = np.array(y_fit)\n",
    "err_fit = np.array(err_fit)\n",
    "\n",
    "Boff = 1080 * np.ones_like(x_fit)\n",
    "y_fit_offset = np.array(y_fit) - funcToFit_big(np.array(x_fit), *param_big) + funcToFit_big(np.array(Boff), *param_big)\n",
    "\n",
    "for i, a in enumerate(axs):\n",
    "    if i == len(axs) - 1:\n",
    "        continue\n",
    "    a.scatter(x_fit, y_fit, c = 'blue')\n",
    "    a.errorbar(x_fit, y_fit, err_fit, ls='', c = 'blue')\n",
    "\n",
    "axs[2].scatter(x_fit, y_fit_offset, c = 'black')\n",
    "axs[2].errorbar(x_fit, y_fit_offset, err_fit, ls='', c = 'black')\n",
    "\n",
    "peak = np.max(y_fit)\n",
    "idx = np.where(peak == y_fit)[0][0]\n",
    "init_cond = [peak, x_fit[idx], 5., np.min(y_fit)]\n",
    "fitparams2, cov = curve_fit(lorentzian, x_fit, y_fit, sigma = err_fit, p0 = init_cond)\n",
    "fiterr2 = np.sqrt(np.diag(cov))\n",
    "\n",
    "B_field = np.linspace(np.min(x), np.max(x), 1000)\n",
    "fit = lorentzian(B_field, *fitparams2)\n",
    "for i, a in enumerate(axs):\n",
    "    if i == len(axs)-1:\n",
    "        continue\n",
    "    a.plot(B_field, fit, c = color_list[qq], label = 'lorentzian')\n",
    "\n",
    "print(\"Model {}\".format(qq) + \": FWHM from Lorentzian = {} + {} G\".format(round(fitparams2[2], 2), round(fiterr2[2], 3)))\n",
    "\n",
    "\n",
    "BB_s_temp = np.linspace(1000, 1080, 10000)\n",
    "##########################\n",
    "\n",
    "\n",
    "# ## fit y\n",
    "slope_lorentzian = 1.3153013428e-13 * 0.606/(2.*h/mu * a_bar * 1e6)\n",
    "slope = slope_lorentzian\n",
    "\n",
    "Bres2 = 900.4345\n",
    "# Bres2 = 1100\n",
    "init_d = .245\n",
    "init_cond = [1033.34, init_d, 5.5234, slope, Bres2]\n",
    "# init_cond = [param_optimal_s[0], param_optimal_s[1],param_optimal_s[3], param_optimal_s[4], param_optimal_s[5]]\n",
    "ii = init_cond\n",
    "bb = ((0.8*ii[0], 0*init_d, 0.1, 0.2*slope, 1.),(1.2*ii[0], 200.*init_d, 20., 6*slope, 2500))\n",
    "\n",
    "\n",
    "f = PJfit()\n",
    "f.flg = 'delta_gamma_only_slope_3dcorr'\n",
    "f.setFitFunc(f.flg)\n",
    "print(f.funcToFit)\n",
    "\n",
    "f.Tna = Tna_small\n",
    "f.Tmol = Tmol_small\n",
    "\n",
    "f.norm = param_optimal[-1]\n",
    "\n",
    "f.q = param_optimal[2]\n",
    "f.y = param_optimal[3]\n",
    "\n",
    "# f.y = param_optimal_s[2]\n",
    "print(\"stored q from optimal param = {}\".format(f.q))\n",
    "print(\"stored y from optimal param = {}\".format(f.y))\n",
    "\n",
    "print(\"stored normalization = {}\".format(f.norm))\n",
    "print(\"stored a_bar ratio = {} \".format(f.a_bar/a_bar))\n",
    "print(\"stored kappa ratio = {}\".format(f.kappa))\n",
    "\n",
    "f.init_cond = init_cond\n",
    "f.bounds = bb\n",
    "\n",
    "flgFit = True\n",
    "if flgFit is True:\n",
    "   \n",
    "    print(\"\")\n",
    "    print(\"\")\n",
    "    print(\"\")\n",
    "    print(\"\")\n",
    "    print(\"  ======== fitting with substraction of the tail of the strong resonance... ========    \")\n",
    "    print(\"\")\n",
    "    \n",
    "    print(len(x_fit))\n",
    "    print(len(y_fit_offset))\n",
    "    print(len(err_fit))\n",
    "    \n",
    "    param, err1, corr_coeff_mat = f.fit(x_fit, y_fit_offset, err_fit)\n",
    "    print(\"~~~~~~~~~~\" + str(f.funcToFit))\n",
    "    print(f.y)\n",
    "    print(f.q)\n",
    "    print(\"\")\n",
    "    \n",
    "    axs[2].plot(BB_s_temp, f.funcToFit(BB_s_temp, *param), c = 'blue', linestyle = 'dashdot', label = 'with Gamma_ext')\n",
    "    param_temp = np.copy(param)\n",
    "#     param_temp[-3] = 0.\n",
    "    param_temp[-1] = 0.\n",
    "    param_temp[-2] = 0.\n",
    "    print(param_temp)\n",
    "    axs[2].plot(BB_s_temp, f.funcToFit(BB_s_temp, *param_temp), c = 'r', linestyle = 'dashdot', label = 'no slope offset')\n",
    "\n",
    "    print(param)\n",
    "    print(\"\")\n",
    "    print(\"correlation coefficient matrix\")\n",
    "    print(\"    Bres     |    Delta   |    gamma    |     slope    |     Bres2\")\n",
    "    print(corr_coeff_mat)\n",
    "    print(\"\")\n",
    "\n",
    "    delta = param[1]\n",
    "#     y_param = param[2]\n",
    "#     q = param[2]\n",
    "    gamma = param[2]\n",
    "    slope = param[3]\n",
    "    Bres2 = param[4]\n",
    " \n",
    "    axs[2].plot(BB_s_temp, linear_offset(BB_s_temp, slope, Bres2), label = 'linear offset')\n",
    "\n",
    "    delta_PJ = delta\n",
    "    Bres_PJ = param[0]\n",
    "\n",
    "    numparam = 5\n",
    "    asymmetric_fit = f.funcToFit(x_fit, *param)\n",
    "    red_chisq = reducedChisq(asymmetric_fit, y_fit_offset, err_fit, numparam)\n",
    "    print(\"\")\n",
    "    print(\" q = {}\".format(param_optimal[2]))\n",
    "    print(\" y = {}\".format(param_optimal[3]))\n",
    "    print(\"\")\n",
    "    print(\" Bres = {} +/- {} G\".format(Bres_PJ, err1[0]))\n",
    "    print(\"Delta = {} +/- {} G\".format(delta, err1[1]))\n",
    "#     print(\"y = {} +/- {} G\".format(y_param, err1[2]))\n",
    "#     print(\"q = {} +/- {} G\".format(q, err1[2]))\n",
    "    print(\"Gamma_ext = {} +/- {} G\".format(gamma, err1[1]))\n",
    "    print(\"\")\n",
    "    print(\"slope = {} +/- {} \".format(slope, err1[2]))\n",
    "    print(\"Bres2 = {} +/- {} G\".format(Bres2, err1[3]))\n",
    "    print(\"\")\n",
    "    print(\"reduced chi sq = {}\".format(red_chisq))\n",
    "    print(\"chi sq = {}\".format(red_chisq * (len(x_fit)-numparam)))\n",
    "    print(\"\")   \n",
    "    \n",
    "    print(\"\")\n",
    "    complex_a_peak = complex_a_PJ(Bres_PJ*0.99999999, Bres_PJ, delta, f.y, f.q)/f.a_bar    \n",
    "    ka = np.abs(complex_a_peak * (f.a_bar) * kk)\n",
    "    two_beta_kk = -2. * np.imag(complex_a_peak) * f.a_bar * kk\n",
    "    print(\"|a_complex| * k = {}\".format(ka))\n",
    "    print(\" 2* beta * k = {}\".format(two_beta_kk))\n",
    "    print(\"\")\n",
    "\n",
    "    vrel = np.sqrt(8.*kb/np.pi * (f.Tna/m_na + f.Tmol/m_mol))\n",
    "    kk = mu * vrel/h_bar\n",
    "    print(\"\")\n",
    "    print(\"\")\n",
    "    ### effective range factor\n",
    "    print(\"effective range...\")\n",
    "    reff = 2*h_bar**2/(f.del_mu * delta * mu * f.q * f.a_bar)\n",
    "    print(\"reff = {} nm\".format(reff * 1e9))\n",
    "    print(\"k = {} 1/nm\".format(kk*1e-9))\n",
    "    print(\"1/2 * reff * kk**2 = {}\".format(0.5 * reff * kk**2))\n",
    "    print(\"alpha_max * 1/2 * reff * kk**2 = {}\".format(90 * a_bohr * 0.5 * reff * kk**2))\n",
    "    print(\"\")\n",
    "    print(\"\")\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "for i, a in enumerate(axs):\n",
    "    if i == len(axs)-1:\n",
    "        print(\" reached\")\n",
    "        continue\n",
    "\n",
    "    ## fill the uncertainty for Universal limit\n",
    "    ll = univLossRate * 5. * np.ones_like(B_field)\n",
    "    ul = univLossRate * 2. * np.ones_like(B_field)\n",
    "    a.fill_between(B_field, ll, ul, color='black', alpha=0.25)\n",
    "\n",
    "    ## fill the uncertainty for Unitarity limit\n",
    "    ll = unitarity_limit-unitarity_limit_sig * np.ones_like(B_field)\n",
    "    ul = unitarity_limit+unitarity_limit_sig * np.ones_like(B_field)\n",
    "    a.fill_between(B_field, ll, ul, color='red', alpha=0.25)\n",
    "\n",
    "    a.set_xlabel('Bias field (Gauss)', fontsize = 18)\n",
    "    a.set_ylabel('loss rate coeff. ($cm^3$/s)', fontsize = 18)\n",
    " \n",
    "\n",
    "    a.tick_params(axis='x', labelsize=16)\n",
    "    a.tick_params(axis='y', labelsize=16)\n",
    "    a.legend(fontsize = 12, loc = 'upper right')\n",
    "    \n",
    "axs[0].set_ylim([np.min(y)/3., np.max(y_fit)*1.5])\n",
    "axs[0].set_xlim([990, 1080])\n",
    "axs[1].set_xlim([990, 1080])\n",
    "axs[2].set_xlim([990, 1080])\n",
    "\n",
    "for i in [1,2]:\n",
    "    axs[i].set_ylim([0.01, 0.3])\n",
    "    axs[i].set_yscale('log')  \n",
    "\n",
    "f_optimal_s = f\n",
    "param_optimal_s = param"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [],
   "source": [
    "def small_res_fit(x_fit, y_fit, err_fit, fitflg = 'delta_gamma_only_slope_3dcorr'):\n",
    "    Boff = 1080 * np.ones_like(x_fit)\n",
    "    y_fit_offset = np.array(y_fit) - funcToFit_big(np.array(x_fit), *param_big) + funcToFit_big(np.array(Boff), *param_big)\n",
    "\n",
    "    peak = np.max(y_fit)\n",
    "    idx = np.where(peak == y_fit)[0][0]\n",
    "    init_cond = [peak, x_fit[idx], 5., np.min(y_fit)]\n",
    "    fitparams2, cov = curve_fit(lorentzian, x_fit, y_fit, sigma = err_fit, absolute_sigma = True, p0 = init_cond)\n",
    "    fiterr2 = np.sqrt(np.diag(cov))\n",
    "\n",
    "    BB = np.linspace(1000, 1075, 800)\n",
    "    ##########################\n",
    "\n",
    "    slope_lorentzian = 1.3153013428e-13 * 0.606/(2*h/mu * a_bar * 1e6)\n",
    "    slope = slope_lorentzian\n",
    "\n",
    "    Bres2 = 900.4345\n",
    "    # Bres2 = 1100\n",
    "    init_d = .245\n",
    "    init_cond = [1033.34, init_d, 5.5234, slope, Bres2]\n",
    "    ii = init_cond\n",
    "#     bb = ((0.5*ii[0], -500*init_d, 0.1, 0.5*slope, 1.),(2*ii[0], 200.*init_d, 20., 1.5*slope, 2500))\n",
    "    bb = ((0.8*ii[0], 0*init_d, 0.1, 0.2*slope, 1.),(1.2*ii[0], 200.*init_d, 20., 6*slope, 2500))\n",
    "\n",
    "    f = PJfit()\n",
    "    f.flg = fitflg\n",
    "    f.setFitFunc(f.flg)\n",
    "    print(f.funcToFit)\n",
    "\n",
    "    # f.method = 'dogbox'\n",
    "    f.Tna = Tna\n",
    "    f.Tmol = Tmol\n",
    "\n",
    "    f.a_bar = a_bar\n",
    "    f.norm = param_optimal[-1]\n",
    "    f.q = param_optimal[2]\n",
    "    f.y = param_optimal[3]\n",
    "\n",
    "    f.init_cond = init_cond\n",
    "    f.bounds = bb\n",
    "\n",
    "    flgFit = True\n",
    "    if flgFit is True:\n",
    "\n",
    "\n",
    "        print(\"\")\n",
    "        print(\"\")\n",
    "        print(\"\")\n",
    "        print(\"\")\n",
    "        print(\"  ======== fitting with substraction of the tail of the strong resonance... ========    \")\n",
    "        print(\"\")\n",
    "\n",
    "        param, err1, corr_coeff_mat = f.fit(x_fit, y_fit_offset, err_fit)\n",
    "\n",
    "        print(param)\n",
    "        print(\"\")\n",
    "        print(\"correlation coefficient matrix\")\n",
    "        print(\"    Bres     |    Delta   |    gamma    |     slope    |     Bres2\")\n",
    "        print(corr_coeff_mat)\n",
    "        print(\"\")\n",
    "\n",
    "        delta = param[1]\n",
    "\n",
    "        gamma = param[2]\n",
    "        slope = param[3]\n",
    "        Bres2 = param[4]\n",
    "\n",
    "        delta_PJ = delta\n",
    "        Bres_PJ = param[0]\n",
    "\n",
    "        numparam = 5\n",
    "        asymmetric_fit = f.funcToFit(x_fit, *param)\n",
    "        red_chisq = reducedChisq(asymmetric_fit, y_fit_offset, err_fit, numparam)\n",
    "        print(\"\")\n",
    "        print(\" q = {}\".format(param_optimal[2]))\n",
    "        print(\" y = {}\".format(param_optimal[3]))\n",
    "        print(\"\")\n",
    "        print(\" Bres = {} +/- {} G\".format(Bres_PJ, err1[0]))\n",
    "        print(\"Delta = {} +/- {} G\".format(delta, err1[1]))\n",
    "    #     print(\"y = {} +/- {} G\".format(y_param, err1[2]))\n",
    "    #     print(\"q = {} +/- {} G\".format(q, err1[2]))\n",
    "        print(\"Gamma_ext = {} +/- {} G\".format(gamma, err1[2]))\n",
    "        print(\"\")\n",
    "        print(\"slope = {} +/- {} \".format(slope, err1[3]))\n",
    "        print(\"Bres2 = {} +/- {} G\".format(Bres2, err1[4]))\n",
    "        print(\"\")\n",
    "        print(\"reduced chi sq = {}\".format(red_chisq))\n",
    "        print(\"chi sq = {}\".format(red_chisq * (len(x_fit)-numparam)))\n",
    "        print(\"\")  \n",
    "    \n",
    "        print(\"\")\n",
    "        print(\"a_bar from C6 = {} a_bohr\".format(a_bar/a_bohr))\n",
    "        print(\"stored a_bar = {} a_bohr\".format(f.a_bar/a_bohr))\n",
    "\n",
    "        B_res = param[0]\n",
    "        complex_a_peak = complex_a_PJ(B_res*0.99999999, B_res, delta, y_param, ratio) * (f.a_bar/a_bar)/f.a_bar\n",
    "\n",
    "        # Tna = 1.5e-6\n",
    "        # Tmol = 1.6e-6\n",
    "        vrel = np.sqrt(8.*kb/np.pi * (Tna/m_na + Tmol/m_mol))\n",
    "        kk = mu * vrel/h_bar\n",
    "\n",
    "        print(\"\")\n",
    "        print(\"a complex at the peak = {} a_bar\".format(complex_a_peak))\n",
    "        print(\"modulus of a = {} a_bar\".format(np.abs(complex_a_peak)))\n",
    "        print(\"modulus of a = {} a_bohr\".format(np.abs(complex_a_peak * f.a_bar/a_bohr)))\n",
    "        print(\"\")\n",
    "\n",
    "        ka = np.abs(complex_a_peak * (f.a_bar) * kk)\n",
    "        two_beta_kk = -2. * np.imag(complex_a_peak) * f.a_bar * kk\n",
    "        print(\"|a_complex| * k = {}\".format(ka))\n",
    "        print(\" 2* beta * k = {}\".format(two_beta_kk))\n",
    "    \n",
    "    return BB, y_fit_offset, param"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Figure 3-0 making"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4L, 47L)\n",
      "\n",
      "degree of freedom = num of points - num of parameters = 27\n",
      "\n",
      "\n",
      " red chi sq for BIG res = 1.2338002477  / dof = 27\n",
      "\n",
      "\n",
      "\n",
      " set fit func... \n",
      "<bound method PJfit.imag_a_delta_gamma_only_slope_3dcorr of <__main__.PJfit instance at 0x0000000008DEE908>>\n",
      "\n",
      "\n",
      "\n",
      "\n",
      "  ======== fitting with substraction of the tail of the strong resonance... ========    \n",
      "\n",
      " PJ fit fitting start... \n",
      " \n",
      " set fit func... \n",
      " The fit func:   <bound method PJfit.imag_a_delta_gamma_only_slope_3dcorr of <__main__.PJfit instance at 0x0000000008DEE908>>\n",
      "\n",
      " Class PJ Fit, fit done.... \n",
      "\n",
      "\n",
      "[1.03075564e+03 1.51007450e-01 5.39234902e+00 1.45502179e-03\n",
      " 1.00940894e+03]\n",
      "\n",
      "correlation coefficient matrix\n",
      "    Bres     |    Delta   |    gamma    |     slope    |     Bres2\n",
      "[[ 1.          0.10751631 -0.01748345 -0.15146634 -0.13386159]\n",
      " [ 0.10751631  1.          0.78060382  0.40233945  0.72597674]\n",
      " [-0.01748345  0.78060382  1.          0.37801568  0.63780181]\n",
      " [-0.15146634  0.40233945  0.37801568  1.          0.82775767]\n",
      " [-0.13386159  0.72597674  0.63780181  0.82775767  1.        ]]\n",
      "\n",
      "\n",
      "degree of freedom = num of points - num of parameters = 10\n",
      "\n",
      "\n",
      " q = 1.60068136473\n",
      " y = 0.00938452532844\n",
      "\n",
      " Bres = 1030.75563506 +/- 0.327791811634 G\n",
      "Delta = 0.15100745024 +/- 0.0275756634363 G\n",
      "Gamma_ext = 5.39234902357 +/- 1.20490192293 G\n",
      "\n",
      "slope = 0.00145502179461 +/- 0.000209160714037 \n",
      "Bres2 = 1009.40894174 +/- 5.5647396718 G\n",
      "\n",
      "reduced chi sq = 2.37681456767\n",
      "chi sq = 23.7681456767\n",
      "\n",
      "\n",
      "a_bar from C6 = 56.0987539436 a_bohr\n",
      "stored a_bar = 56.0987539436 a_bohr\n",
      "\n",
      "a complex at the peak = (1.48413835418-106.556199722j) a_bar\n",
      "modulus of a = 106.566534925 a_bar\n",
      "modulus of a = 5978.24982137 a_bohr\n",
      "\n",
      "|a_complex| * k = 3.32919867542\n",
      " 2* beta * k = 6.65775159572\n",
      " set fit func... \n",
      "<bound method PJfit.imag_a_delta_gamma_only_slope_3dcorr of <__main__.PJfit instance at 0x0000000008DEE2C8>>\n",
      "\n",
      "degree of freedom = num of points - num of parameters = 10\n",
      "\n",
      "\n",
      " red chi sq for SMALL res = 3.8267794219  / dof = 10\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "[<matplotlib.axis.XTick at 0xac8eeb8>,\n",
       " <matplotlib.axis.XTick at 0xac8e438>,\n",
       " <matplotlib.axis.XTick at 0xac8e048>]"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x468 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plt.rcParams.update({\n",
    "#     \"text.usetex\": True,\n",
    "#     \"font.family\": \"sans-serif\",\n",
    "#     \"font.sans-serif\": [\"Helvetica\"],\n",
    "# #     \"mathtext.fontset\": \"dejavusans\",\n",
    "# #     \"mathtext.default\": 'regular',\n",
    "#     \"mathtext.rm\" : \"Helvetica\",\n",
    "#      \"pgf.preamble\": \"\\n\".join([\n",
    "#          r\"\\usepackage{amsmath}\", \n",
    "#          r\"\\usepackage{braket}\", \n",
    "#          r\"\\usepackage{url}\",            # load additional packages\n",
    "#          r\"\\usepackage{unicode-math}\",   # unicode math setup\n",
    "#          r\"\\setmainfont{DejaVu Serif}\",  # serif font via preamble\n",
    "#      ])\n",
    "# })\n",
    "\n",
    "\n",
    "data = processData('loss_rate_coeff_980G.txt')\n",
    "print(data.shape)\n",
    "\n",
    "fig = plt.figure(figsize = (10, 6.5))\n",
    "wr = [2, 1]\n",
    "hr = [1, 1]\n",
    "\n",
    "gs = gridspec.GridSpec(ncols=1, nrows=1, figure=fig)\n",
    "ax2 = fig.add_subplot(gs[0, 0], facecolor = 'w')\n",
    "\n",
    "fig.subplots_adjust(hspace=.4) \n",
    "## linear scale, near peak\n",
    "\n",
    "left, bottom, width, height = [0.605, 0.54, 0.26, 0.325]\n",
    "ax3 =fig.add_axes([left, bottom, width, height])\n",
    "\n",
    "axs = [ax2, ax3]\n",
    "##########################################################\n",
    "## correct near the peak with magnetic field dependency ##\n",
    "\n",
    "flg_normalize = False\n",
    "if flg_normalize is True:\n",
    "    norm_or_not = param_optimal[-1]\n",
    "else:\n",
    "    norm_or_not = 1.\n",
    "\n",
    "x = data[0]\n",
    "y = data[1] * scaling * latticeFactor_correct_ratio/norm_or_not/latticeFactor_correct_ratio\n",
    "err = data[2] * scaling * latticeFactor_correct_ratio/norm_or_not/latticeFactor_correct_ratio\n",
    "err_sys = data[3] * scaling * latticeFactor_correct_ratio/norm_or_not/latticeFactor_correct_ratio\n",
    "\n",
    "for a in axs:\n",
    "    a.scatter(x, y, c = 'g')\n",
    "    a.errorbar(x, y, err, ls='', c = 'g')\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "## fit to asymmetric function\n",
    "##\n",
    "## select the total uncertainty including the systematic error 30%    \n",
    "\n",
    "x_fit = []\n",
    "y_fit = []\n",
    "err_fit = []\n",
    "err_sys_fit = []\n",
    "\n",
    "x_fit_s = []\n",
    "y_fit_s = []\n",
    "err_fit_s = []\n",
    "err_sys_fit_s = []\n",
    "\n",
    "threshold = 1e-8*1e20\n",
    "for i, e in enumerate(y):\n",
    "    B = x[i]\n",
    "    if e < threshold and B < 1015 and B > 920:\n",
    "        x_fit.append(B)\n",
    "        y_fit.append(e)\n",
    "        err_fit.append(err[i])\n",
    "        err_sys_fit.append(err_sys[i])\n",
    "    \n",
    "    if e < threshold and B > 1000:\n",
    "        x_fit_s.append(B)\n",
    "        y_fit_s.append(e)\n",
    "        err_fit_s.append(err[i])\n",
    "        err_sys_fit_s.append(err_sys[i])\n",
    "\n",
    "x_fit = np.array(x_fit)\n",
    "y_fit = np.array(y_fit)\n",
    "err_fit = np.array(err_fit)\n",
    "err_sys_fit = np.array(err_sys_fit)\n",
    "\n",
    "\n",
    "x_fit_s = np.array(x_fit_s)\n",
    "y_fit_s = np.array(y_fit_s)\n",
    "err_fit_s = np.array(err_fit_s)\n",
    "err_sys_fit_s = np.array(err_sys_fit_s)\n",
    "\n",
    "\n",
    "for a in axs:\n",
    "    a.scatter(x_fit_s, y_fit_s, c = 'k', alpha = 0.8)\n",
    "    a.errorbar(x_fit_s, y_fit_s, err_fit_s, ls='', c = 'k', alpha = 0.8)\n",
    "    \n",
    "    \n",
    "for a in axs:\n",
    "    a.scatter(x_fit, y_fit, c = 'b')\n",
    "    a.errorbar(x_fit, y_fit, err_fit, ls='', c = 'b')\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "## fit to asymmetric function\n",
    "\n",
    "fit_big_forchi = f_optimal.funcToFit(x_fit, *param_optimal)\n",
    "numparam_big = 5\n",
    "red_chisq_big = reducedChisq(fit_big_forchi, y_fit, err_fit, numparam_big)\n",
    "print(\"\")\n",
    "print(\" red chi sq for BIG res = {}\".format(red_chisq_big) + \"  / dof = {}\".format(len(y_fit)-numparam_big))\n",
    "\n",
    "for i, a in enumerate(axs):\n",
    "    a.plot(BB, f_optimal.funcToFit(BB, *param_optimal)/norm_or_not, c = 'b')\n",
    "    a.plot(BB, f_optimal_thavg.funcToFit(BB, *param_optimal_thavg)/norm_or_not, c = 'green', linestyle = '--')\n",
    "    \n",
    "    if i == 2:\n",
    "        continue\n",
    "    a.plot(BB, lorentzian_fit/norm_or_not, c = 'r', alpha = 0.35)\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "## Make shaded area for 50% systematic error -- BIG RESONANCE\n",
    "systematic_ul = y_fit + np.array(err_sys_fit)\n",
    "systematic_ll = y_fit - np.array(err_sys_fit)\n",
    "\n",
    "for a in axs:\n",
    "    a.fill_between(x_fit, systematic_ul, systematic_ll, where = systematic_ul > systematic_ll, facecolor = 'b', alpha = 0.135)\n",
    "\n",
    "\n",
    "##########################################################################\n",
    "##########################################################################\n",
    "\n",
    "##########################################################################\n",
    "##########################################################################\n",
    "##########################################################################\n",
    "##########################################################################\n",
    "## small resonance\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "B_s, y_offset_s, param_s =  small_res_fit(x_fit_s, y_fit_s, err_fit_s)\n",
    "param_optimal_s = param_s\n",
    "# aa = [ax2, ax4]\n",
    "aa = [ax2]\n",
    "\n",
    "ffs = PJfit()\n",
    "ffs.flg = 'delta_gamma_only_slope_3dcorr'\n",
    "ffs.setFitFunc(ffs.flg)\n",
    "\n",
    "ffs.Tna = Tna_small\n",
    "ffs.Tmol = Tmol_small\n",
    "\n",
    "# ffs.a_bar = param_optimal[-1] * a_bar\n",
    "ffs.a_bar = a_bar\n",
    "ffs.norm = param_optimal[-1]\n",
    "ffs.q = param_optimal[2]\n",
    "ffs.y = param_optimal[3]\n",
    "\n",
    "print(ffs.funcToFit)\n",
    "\n",
    "fit_small_forchi = f_optimal_s.funcToFit(x_fit_s, *param_optimal_s)\n",
    "numparam_small = 5\n",
    "red_chisq_small = reducedChisq(fit_small_forchi, y_fit_s, err_fit_s, numparam_small)\n",
    "print(\"\")\n",
    "print(\" red chi sq for SMALL res = {}\".format(red_chisq_small) + \"  / dof = {}\".format(len(y_fit_s)-numparam_small))\n",
    "\n",
    "for a in aa:\n",
    "    a.plot(B_s, ffs.funcToFit(B_s, *param_s), c = 'k', alpha = 0.8)\n",
    "    \n",
    "    idx_s_cut = 2\n",
    "    a.scatter(x_fit_s[:idx_s_cut], y_offset_s[:idx_s_cut], c = 'k', alpha = 0.8)\n",
    "    a.errorbar(x_fit_s[:idx_s_cut], y_offset_s[:idx_s_cut], err_fit_s[:idx_s_cut], c = 'k', ls ='', alpha = 0.8)\n",
    "\n",
    "    \n",
    "#############################################################\n",
    "#############################################################\n",
    "## Make shaded area for 47% systematic error -- BIG RESONANCE\n",
    "ratio_s = np.array(err_sys_fit_s)/np.array(y_fit_s)\n",
    "for i in [0, 1]:\n",
    "    err_sys_fit_s[i] = y_offset_s[i] * ratio_s[i]\n",
    "\n",
    "systematic_ul_s = y_offset_s + np.array(err_sys_fit_s)\n",
    "systematic_ll_s = y_offset_s - np.array(err_sys_fit_s)\n",
    "\n",
    "ax2.fill_between(x_fit_s, systematic_ul_s, systematic_ll_s, where = systematic_ul_s > systematic_ll_s, facecolor = 'k', alpha = 0.1)\n",
    "\n",
    "\n",
    "for a in axs:\n",
    "    a.axhline(ratio_unitarity_limit, color='r', linestyle= 'dotted', label = 'Unitarity limit')\n",
    "    a.axhline(ratio_universal_limit, color='k', linestyle= 'dashed', label = 'Universal limit')\n",
    "\n",
    "ax2.set_xlabel('Bias field (G)', fontsize = 16)\n",
    "ax2.set_ylabel('(Loss rate/Universal loss rate),  $r(B)$', fontsize = 16, rotation = -np.pi/2.+2)\n",
    "ax2.yaxis.set_label_coords(0.175, 1.02)\n",
    "ax2.tick_params(axis='x', labelsize=16)\n",
    "ax2.tick_params(axis='y', labelsize=16)\n",
    "ax2.set_xlim([902, 1070])\n",
    "ax2.set_ylim([np.min(y_fit)/3., np.max([np.max(y_fit)*3, 1.3*unitarity_limit])])\n",
    "ax2.set_yscale('log')  \n",
    "\n",
    "ax2.legend(bbox_to_anchor=(-0.0, 0.575), loc = 'upper left', handlelength = 1.0, frameon = True, fontsize = 16., labelspacing = 0.4, facecolor = 'w', borderpad = 0.1, edgecolor ='w',  framealpha = 0., markerscale = 1)\n",
    "\n",
    "## linear scale, near peak\n",
    "ax3.set_ylim([np.min(y_fit)/3., np.max(y_fit)*1.36])\n",
    "ax3.set_xlim([972, 984])    \n",
    "# ax3.set_ylabel('(arb.)', rotation  = -np.pi/2+2, fontsize = 14)\n",
    "ax3.set_xlabel('(G)', fontsize = 16)\n",
    "ax3.yaxis.set_label_coords(0.08, 1.01)\n",
    "ax3.xaxis.set_label_coords(1.06, -0.03)\n",
    "ax3.tick_params(axis='x', labelsize = 16)\n",
    "ax3.tick_params(axis='y', labelsize = 16)\n",
    "ax3.yaxis.offsetText.set_fontsize(16)\n",
    "\n",
    "\n",
    "ax3.set_xticks([974, 978, 982])\n",
    "####################################################################\n",
    "####################################################################\n",
    "# plt.savefig(join('PAPER_FIGURES','supp_lossratio_with_thavg.pdf'), bbox_inches='tight', pad_inches=0.01, dpi = 300)\n",
    "# plt.savefig(join('PAPER_FIGURES','supp_lossratio_with_thavg.png'), bbox_inches='tight', pad_inches=0.01, dpi = 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 00-3. zero temperature rate constant"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "def etasq(B, param, gamma, Tna, Tmol):\n",
    "    B0, delta, q, y = param\n",
    "    omega = mu * (omega_na/m_na + omega_mol/m_mol)\n",
    "    lo = np.sqrt(h_bar/(mu*omega))\n",
    "\n",
    "    T_rel = mu * (Tna/m_na + Tmol/m_mol)\n",
    "    kbT = kb * T_rel\n",
    "\n",
    "    epsilon = kbT ## freeze the axial direction to the ground state\n",
    "    args = epsilon/(2.*h_bar*omega)\n",
    "    BB = 0.9049\n",
    "    BB = 0.915\n",
    "    w = lambda e: np.log(BB/(2.*np.pi) * e**-1) + 1j * np.pi\n",
    "    \n",
    "    s = q * (1. - delta/(B-B0-1j*gamma/2.))\n",
    "    a_3d = a_bar * (s * (1j - y) + 2*y)/(y*(1. - s) + 1j)\n",
    "    alpha = np.real(a_3d)\n",
    "    beta = -np.imag(a_3d)\n",
    "\n",
    "    eta = (1. + a_3d/(np.sqrt(np.pi) * lo) * w(args))**-1\n",
    "    lambda_PJ = np.sqrt(1. - np.exp(-2. * h_bar * omega/(kbT)))\n",
    "    lambda_dima = 2. * (1. - np.exp(-h_bar * omega/(kbT)))\n",
    "    l = lambda_PJ\n",
    "    \n",
    "    return np.abs(eta)**2 * l\n",
    "\n",
    "def eta_bar_sq_f2d(B, param, gamma, Tna, Tmol):\n",
    "    B0, delta, q, y = param\n",
    "    omega = mu * (omega_na/m_na + omega_mol/m_mol)\n",
    "    lo = np.sqrt(h_bar/(mu*omega))\n",
    "\n",
    "    T_rel = mu * (Tna/m_na + Tmol/m_mol)\n",
    "    kbT = kb * T_rel\n",
    "\n",
    "    epsilon = kbT ## freeze the axial direction to the ground state\n",
    "    args = epsilon/(2.*h_bar*omega)\n",
    "    BB = 0.9049\n",
    "    BB = 0.915\n",
    "    w = lambda e: np.log(BB/(2.*np.pi) * e**-1)\n",
    "    \n",
    "    s = q * (1. - delta/(B-B0-1j*gamma/2.))\n",
    "    a_3d = a_bar * (s * (1j - y) + 2*y)/(y*(1. - s) + 1j)\n",
    "    alpha = np.real(a_3d)\n",
    "    beta = -np.imag(a_3d)\n",
    "\n",
    "    eta_bar = (1. + a_3d/(np.sqrt(np.pi) * lo) * w(args))**-1\n",
    "    \n",
    "    zero_moment = np.sqrt(np.pi)/lo\n",
    "    f2d = (1. + zero_moment**2 * np.abs(eta_bar)**2 * np.abs(a_3d)**2 + 2. *zero_moment * np.abs(eta_bar)**2 * beta)**-1\n",
    "    \n",
    "    lambda_PJ = np.sqrt(1. - np.exp(-2. * h_bar * omega/(kbT)))\n",
    "    lambda_dima = 2. * (1. - np.exp(-h_bar * omega/(kbT)))\n",
    "    l = lambda_PJ\n",
    "    \n",
    "    return np.abs(eta_bar)**2 * f2d * l, np.abs(eta_bar)**2, f2d\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## figure 3 making2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4L, 47L)\n",
      "\n",
      "saturation at the peak = 0.0312602165885\n",
      " set fit func... \n",
      " set fit func... \n",
      "[9.78651841e+02 2.81426089e+01 1.60068136e+00 9.38452533e-03\n",
      " 1.32582212e+00]\n",
      "[1.03075564e+03 1.51007450e-01 5.39234902e+00 1.45502179e-03\n",
      " 1.00940894e+03]\n",
      "\n",
      "degree of freedom = num of points - num of parameters = 10\n",
      "\n",
      "\n",
      "\n",
      " red chi sq for SMALL res = 3.91420417735  / dof = 10\n",
      "\n",
      "\n",
      "degree of freedom = num of points - num of parameters = 27\n",
      "\n",
      "\n",
      " red chi sq for BIG res = 1.27493704799  / dof = 27\n",
      "\n",
      "[9.78651841e+02 2.81426089e+01 1.60068136e+00 9.38452533e-03\n",
      " 1.32582212e+00]\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0xb502a20>"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x468 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plt.rcParams.update({\n",
    "#     \"text.usetex\": True,\n",
    "#     \"font.family\": \"sans-serif\",\n",
    "#     \"font.sans-serif\": [\"Helvetica\"],\n",
    "# #     \"mathtext.fontset\": \"dejavusans\",\n",
    "# #     \"mathtext.default\": 'regular',\n",
    "#     \"mathtext.rm\" : \"Helvetica\",\n",
    "#      \"pgf.preamble\": \"\\n\".join([\n",
    "#          r\"\\usepackage{amsmath}\", \n",
    "#          r\"\\usepackage{braket}\", \n",
    "#          r\"\\usepackage{url}\",            # load additional packages\n",
    "#          r\"\\usepackage{unicode-math}\",   # unicode math setup\n",
    "#          r\"\\setmainfont{DejaVu Serif}\",  # serif font via preamble\n",
    "#      ])\n",
    "# })\n",
    "\n",
    "param_temp_s = [param_optimal_s[0], param_optimal_s[1], param_optimal[2], param_optimal[3]]\n",
    "\n",
    "data = processData('loss_rate_coeff_980G.txt')\n",
    "print(data.shape)\n",
    "\n",
    "B_field = np.linspace(900, 1100, 5000)\n",
    "BB = B_field\n",
    "\n",
    "fig = plt.figure(figsize = (10, 6.5))\n",
    "wr = [2, 1]\n",
    "hr = [1, 1]\n",
    "\n",
    "gs = gridspec.GridSpec(ncols=1, nrows=1, figure=fig)\n",
    "ax2 = fig.add_subplot(gs[0, 0], facecolor = 'w')\n",
    "\n",
    "\n",
    "fig.subplots_adjust(hspace=.4) \n",
    "## linear scale, near peak\n",
    "\n",
    "left, bottom, width, height = [0.6185, 0.512, 0.26, 0.325]\n",
    "ax3 =fig.add_axes([left, bottom, width, height])\n",
    "\n",
    "axs = [ax2, ax3]\n",
    "##########################################################\n",
    "## correct near the peak with magnetic field dependency ##\n",
    "\n",
    "flg_normalize = False\n",
    "if flg_normalize is True:\n",
    "    norm_or_not = param_optimal[-1]\n",
    "else:\n",
    "    norm_or_not = 1.\n",
    "    \n",
    "scaling = 1.\n",
    "    \n",
    "x = data[0]\n",
    "y = data[1] * scaling * latticeFactor_correct_ratio/norm_or_not/latticeFactor_correct_ratio\n",
    "err = data[2] * scaling * latticeFactor_correct_ratio/norm_or_not/latticeFactor_correct_ratio\n",
    "err_sys = data[3] * scaling * latticeFactor_correct_ratio/norm_or_not/latticeFactor_correct_ratio\n",
    "\n",
    "idx_back = 2\n",
    "for a in axs:\n",
    "    a.scatter(x[:idx_back], y[:idx_back], c = 'g')\n",
    "    a.errorbar(x[:idx_back], y[:idx_back], err[:idx_back], ls='', c = 'g')\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "## fit to asymmetric function\n",
    "##\n",
    "## select the total uncertainty including the systematic error 30%    \n",
    "\n",
    "x_fit = []\n",
    "y_fit = []\n",
    "err_fit = []\n",
    "err_sys_fit = []\n",
    "\n",
    "x_fit_s = []\n",
    "y_fit_s = []\n",
    "err_fit_s = []\n",
    "err_sys_fit_s = []\n",
    "\n",
    "def slope_offset(b): \n",
    "    out = param_optimal_s[-2] * (b - param_optimal_s[-1])\n",
    "    out[out<0] = 0\n",
    "    return out\n",
    "\n",
    "slope_offset_list = []\n",
    "scale_temp_s = 2.*h/mu*a_bar*1e6\n",
    "scaled_slope_offset_calc = lambda b: scale_temp_s * slope_offset(b)/etasq(b, param_temp_s, param_optimal_s[-1], f_optimal_s.Tna, f_optimal_s.Tmol)\n",
    "\n",
    "scaled_slope_offset = scaled_slope_offset_calc(B_s)\n",
    "\n",
    "threshold = 1e-8*1e20\n",
    "sat_big_list = []\n",
    "for i, e in enumerate(y):\n",
    "    B = x[i]\n",
    "    if e < threshold and B < 1015 and B > 920:\n",
    "#     if e < threshold and B < 1015:\n",
    "        sat_big = etasq(B, param_optimal[:-1], 0, f_optimal.Tna, f_optimal.Tmol)\n",
    "        sat_big_list.append(sat_big)\n",
    "        x_fit.append(B)\n",
    "        y_fit.append(e/sat_big)\n",
    "        err_fit.append(err[i]/sat_big)\n",
    "        err_sys_fit.append(err_sys[i]/sat_big)\n",
    "    \n",
    "    if e < threshold and B > 1000:\n",
    "        sat_small = etasq(B, param_temp_s, param_optimal_s[2], f_optimal_s.Tna, f_optimal_s.Tmol)\n",
    "        x_fit_s.append(B)\n",
    "        y_fit_s.append(e/sat_small)\n",
    "        err_fit_s.append(err[i]/sat_small)\n",
    "        err_sys_fit_s.append(err_sys[i]/sat_small)     \n",
    "\n",
    "x_fit = np.array(x_fit)\n",
    "y_fit = np.array(y_fit)\n",
    "err_fit = np.array(err_fit)\n",
    "err_sys_fit = np.array(err_sys_fit)\n",
    "\n",
    "# print(err_sys_fit)\n",
    "\n",
    "x_fit_s = np.array(x_fit_s)\n",
    "y_fit_s = np.array(y_fit_s)\n",
    "err_fit_s = np.array(err_fit_s)\n",
    "err_sys_fit_s = np.array(err_sys_fit_s)\n",
    "\n",
    "\n",
    "#########################################################\n",
    "print\n",
    "print(\"saturation at the peak = {}\".format(min(sat_big_list)))\n",
    "\n",
    "########################################################\n",
    "## lorentzian fit\n",
    "peak = np.max(y)\n",
    "idx = np.where(peak == y)[0][0]\n",
    "init_cond = [peak, x[idx], 5., np.min(y)]\n",
    "fitparams2, cov = curve_fit(lorentzian, x_fit, y_fit, sigma = err_fit, p0 = init_cond)\n",
    "fiterr2 = np.sqrt(np.diag(cov))\n",
    "fitt = lorentzian(BB, *fitparams2)\n",
    "for a in axs:\n",
    "#         a.plot(B_field, fit, label = 'lorentzian')\n",
    "    a.plot(BB, fitt, c = 'r', alpha = 0.5)\n",
    "########################################################\n",
    "\n",
    "f_temp = PJfit()\n",
    "f_temp.flg = 'zero_temp_const_norm'\n",
    "f_temp.setFitFunc(f_temp.flg)\n",
    "\n",
    "f_temp.Tna = Tna\n",
    "f_temp.Tmol = Tmol\n",
    "\n",
    "\n",
    "f_temp_s = PJfit()\n",
    "# f_temp_s.flg = 'zero_temp_const_norm_gamma'\n",
    "f_temp_s.flg  = 'zero_temp_const_norm_gamma_slope'\n",
    "f_temp_s.setFitFunc(f_temp_s.flg)\n",
    "f_temp_s.q = param_optimal[2]\n",
    "f_temp_s.y = param_optimal[3]\n",
    "f_temp_s.norm = param_optimal[-1]\n",
    "\n",
    "f_temp_s.Tna = Tna_small\n",
    "f_temp_s.Tmol = Tmol_small\n",
    "param_optimal_s_temp = []\n",
    "param_optimal_s_temp.append(param_optimal_s[0])\n",
    "param_optimal_s_temp.append(param_optimal_s[1])\n",
    "param_optimal_s_temp.append(param_optimal[2])\n",
    "param_optimal_s_temp.append(param_optimal[3])\n",
    "param_optimal_s_temp.append(param_optimal[-1])\n",
    "param_optimal_s_temp.append(param_optimal_s[2])\n",
    "\n",
    "print(param_optimal)\n",
    "print(param_optimal_s)\n",
    "\n",
    "Boff = 1080 * np.ones_like(x_fit_s)\n",
    "y_fit_offset = np.array(y_fit_s) - f_temp.funcToFit(np.array(x_fit_s), *param_big) + f_temp.funcToFit(np.array(Boff), *param_big)\n",
    "\n",
    "asymmetric_fit_small = f_temp_s.funcToFit(B_s, *param_optimal_s)\n",
    "asymmetric_fit_small_forchi = f_temp_s.funcToFit(x_fit_s, *param_optimal_s)\n",
    "numparam_small = 5\n",
    "red_chisq_small = reducedChisq(asymmetric_fit_small_forchi, y_fit_s, err_fit_s, numparam_small)\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "print(\" red chi sq for SMALL res = {}\".format(red_chisq_small) + \"  / dof = {}\".format(len(y_fit_s)-numparam_small))\n",
    "print(\"\")\n",
    "for a in axs:\n",
    "    a.scatter(x_fit_s, y_fit_s, c = 'k', alpha = 0.8)\n",
    "    a.errorbar(x_fit_s, y_fit_s, err_fit_s, ls='', c = 'k', alpha = 0.8)\n",
    "    \n",
    "    idx_s_cut = 2\n",
    "    a.scatter(x_fit_s[:idx_s_cut], y_fit_offset[:idx_s_cut], c = 'k', alpha = 0.8)\n",
    "    a.errorbar(x_fit_s[:idx_s_cut], y_fit_offset[:idx_s_cut], err_fit_s[:idx_s_cut], c = 'k', ls ='', alpha = 0.8)   \n",
    "\n",
    "    a.plot(B_s, asymmetric_fit_small, c = 'k')\n",
    "\n",
    "BB_plot = np.linspace(900, 1100, 4000)\n",
    "\n",
    "asymmetric_fit_big = f_temp.funcToFit(BB_plot, *param_optimal)\n",
    "asymmetric_fit_big_forchi = f_temp.funcToFit(x_fit, *param_optimal)\n",
    "numparam_big = 5\n",
    "red_chisq_big = reducedChisq(asymmetric_fit_big_forchi, y_fit, err_fit, numparam_big)\n",
    "print(\"\")\n",
    "print(\" red chi sq for BIG res = {}\".format(red_chisq_big) + \"  / dof = {}\".format(len(y_fit)-numparam_big))\n",
    "print(\"\")\n",
    "for a in axs:\n",
    "    a.scatter(x_fit, y_fit, c = 'b')\n",
    "    a.errorbar(x_fit, y_fit, err_fit, ls='', c = 'b')\n",
    "\n",
    "    a.plot(BB_plot, asymmetric_fit_big, c = 'b')\n",
    "    \n",
    "    a.axhline(unitarity_limit, color='r', linestyle= 'dotted', label = 'Unitarity limit')\n",
    "    a.axhline(univLossRate, color='k', linestyle= 'dashed', label = 'Universal limit')\n",
    "\n",
    "ax2.set_xlabel('Bias field (G)', fontsize = 18)\n",
    "ax2.set_ylabel('Loss rate constant' + ' $K_{0}$' +  r' (cm$^3$/s)', fontsize = 20)\n",
    "ax2.tick_params(axis='y', labelsize=18)\n",
    "ax2.set_ylim([np.min(y_fit)/3., np.max([np.max(y_fit)*3, 1.3*unitarity_limit])])\n",
    "ax2.set_yscale('log')  \n",
    "\n",
    "ax2.tick_params(axis='x', which='minor')\n",
    "ax2.set_xticks([920, 960, 1000, 1040])\n",
    "ax2.xaxis.set_minor_locator(tck.AutoMinorLocator())\n",
    "ax2.tick_params(axis='x', labelsize=18)\n",
    "ax2.set_xlim([902, 1070])\n",
    "\n",
    "## linear scale, near peak\n",
    "ax3.set_ylim([np.min(y_fit)/3., np.max(y_fit)*1.4])\n",
    "ax3.set_xlim([976.7, 980.5])    \n",
    "ax3.yaxis.set_label_coords(0.38, 1.0)\n",
    "ax3.xaxis.set_label_coords(1.06, -0.035)\n",
    "ax3.tick_params(axis='x', labelsize = 16)\n",
    "ax3.tick_params(axis='y', labelsize = 16)\n",
    "ax3.yaxis.offsetText.set_fontsize(16)\n",
    "\n",
    "ax3.set_yticks(np.array([1, 2, 3])*1e-8)\n",
    "ax3.set_xticks([977, 978.5, 980])\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "## Make shaded area for 47% systematic error -- BIG RESONANCE\n",
    "systematic_ul = y_fit + np.array(err_sys_fit)\n",
    "systematic_ll = y_fit - np.array(err_sys_fit)\n",
    "\n",
    "for a in axs:\n",
    "    a.fill_between(x_fit, systematic_ul, systematic_ll, where = systematic_ul > systematic_ll, facecolor = 'b', alpha = 0.15)\n",
    "\n",
    "\n",
    "#############################################################\n",
    "#############################################################\n",
    "## Make shaded area for 47% systematic error -- SMALL RESONANCE\n",
    "ratio_s = np.array(err_sys_fit_s)/np.array(y_fit_s)\n",
    "for i in [0, 1]:\n",
    "    err_sys_fit_s[i] = y_fit_offset[i] * ratio_s[i]\n",
    "\n",
    "systematic_ul_s = y_fit_offset + np.array(err_sys_fit_s)\n",
    "systematic_ll_s = y_fit_offset - np.array(err_sys_fit_s)\n",
    "\n",
    "ax2.fill_between(x_fit_s, systematic_ul_s, systematic_ll_s, where = systematic_ul_s > systematic_ll_s, facecolor = 'k', alpha = 0.1)\n",
    "\n",
    "print(param_optimal)\n",
    "bg_loss_coeff = 2*h/mu * 1e6 * -np.imag(complex_a_PJ(0, param_optimal[0], param_optimal[1], param_optimal[3], param_optimal[2])) * param_optimal[-1]\n",
    "ax2.axhline(bg_loss_coeff/norm_or_not, linestyle = 'dashed', c = 'purple', label = 'Background loss')\n",
    "\n",
    "ax2.legend(bbox_to_anchor=(0.01, 0.925), loc = 'upper left', handlelength = 1.0, frameon = True, fontsize = 16., labelspacing = 0.4, facecolor = 'w', borderpad = 0.1, edgecolor ='w',  framealpha = 0., markerscale = 1)\n",
    "\n",
    "# plt.savefig(join('PAPER_FIGURES','Figure3_zero_temp_const_with_limits_new.pdf'), bbox_inches='tight', pad_inches=0.05, dpi = 300)\n",
    "# plt.savefig(join('PAPER_FIGURES','Figure3_zero_temp_const_with_limits_new.png'), bbox_inches='tight', pad_inches=0.05, dpi = 300)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 00-4. Combined scattering length"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [],
   "source": [
    "def modified_complex_a(B, param, gamma, Tna, Tmol):\n",
    "    B0, delta, q, y = param\n",
    "    omega = mu * (omega_na/m_na + omega_mol/m_mol)\n",
    "    lo = np.sqrt(h_bar/(mu*omega))\n",
    "\n",
    "    T_rel = mu * (Tna/m_na + Tmol/m_mol)\n",
    "    kbT = kb * T_rel\n",
    "\n",
    "    epsilon = kbT ## freeze the axial direction to the ground state\n",
    "    args = epsilon/(2.*h_bar*omega)\n",
    "    BB = 0.9049\n",
    "    BB = 0.915\n",
    "    w = lambda e: np.log(BB/(2.*np.pi) * e**-1)\n",
    "    \n",
    "    s = q * (1. - delta/(B-B0-1j*gamma/2.))\n",
    "    a_3d = a_bar * (s * (1j - y) + 2*y)/(y*(1. - s) + 1j)\n",
    "    alpha = np.real(a_3d)\n",
    "    beta = -np.imag(a_3d)\n",
    "\n",
    "    eta_bar = (1. + a_3d/(np.sqrt(np.pi) * lo) * w(args))**-1\n",
    "    lambda_PJ = np.sqrt(1. - np.exp(-2. * h_bar * omega/(kbT)))\n",
    "    lambda_dima = 2. * (1. - np.exp(-h_bar * omega/(kbT)))\n",
    "    l = lambda_PJ\n",
    "    \n",
    "    real = np.abs(eta_bar)**2 * (alpha + w(args)/(lo * np.sqrt(np.pi)) * np.abs(a_3d)**2)\n",
    "    imag = np.abs(eta_bar)**2  * beta \n",
    "    modulus_sq = np.abs(eta_bar)**2  * np.abs(a_3d)**2 \n",
    "    return real, imag, modulus_sq, alpha, beta\n",
    "\n",
    "def saturation_2d(B, param, gamma, Tna, Tmol):\n",
    "    B0, delta, q, y = param\n",
    "    omega = mu * (omega_na/m_na + omega_mol/m_mol)\n",
    "    lo = np.sqrt(h_bar/(mu*omega))\n",
    "\n",
    "    real, imag, modulus_sq, alpha, beta = modified_complex_a(B, param, gamma, Tna, Tmol)\n",
    "    a_tilde_2d_sq = modulus_sq * (np.sqrt(np.pi)/lo)**2\n",
    "    beta_2d = beta * np.sqrt(np.pi)/lo\n",
    "    \n",
    "    return (1. + a_tilde_2d_sq + 2. * beta_2d)**-1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<bound method PJfit.imag_a_norm_3dcorr of <__main__.PJfit instance at 0x000000000D375288>>\n",
      "[978.6518411540521, 28.142608905940744, 0.009384525328438503, 1.600681364731036]\n",
      "\n",
      "<bound method PJfit.imag_a_delta_gamma_only_slope_3dcorr of <__main__.PJfit instance at 0x000000000C7AB308>>\n",
      "[1030.755635059295, 0.15100745024045753, 0.009384525328438503, 1.600681364731036, 5.392349023565452]\n",
      "\n",
      " background scattering length_big res = 94.02 -i 0.774 a_o\n",
      " background scattering length_small res = 91.15 -i 0.738 a_o\n",
      "\n",
      " min saturation_big res = 0.0356317180005\n",
      " min saturation_small res = 0.993781225442\n",
      "\n",
      " ^^^^ the density dependency was measured at 981.0332 G\n",
      " alpha = -941.83032543 a_o\n",
      "\n",
      " most negative alpha = -2932.46834401 a_o\n",
      "\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 864x576 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.gridspec as gridspec\n",
    "\n",
    "# plt.rcParams.update({\n",
    "#     \"text.usetex\": True,\n",
    "#     \"font.family\": \"sans-serif\",\n",
    "#     \"font.sans-serif\": [\"Helvetica\"],\n",
    "# #     \"mathtext.fontset\": \"dejavusans\",\n",
    "# #     \"mathtext.default\": 'regular',\n",
    "#     \"mathtext.rm\" : \"Helvetica\",\n",
    "#      \"pgf.preamble\": \"\\n\".join([\n",
    "#          r\"\\usepackage{amsmath}\", \n",
    "#          r\"\\usepackage{braket}\", \n",
    "#          r\"\\usepackage{url}\",            # load additional packages\n",
    "#          r\"\\usepackage{unicode-math}\",   # unicode math setup\n",
    "#          r\"\\setmainfont{DejaVu Serif}\",  # serif font via preamble\n",
    "#      ])\n",
    "# })\n",
    "\n",
    "#################### strong resonance #####################################3\n",
    "\n",
    "Bfield_plot = np.linspace(954, 1000, 5000)\n",
    "## Bres, delta, q, y --> Bres, delta, y, q\n",
    "pp = [param_optimal[0], param_optimal[1], param_optimal[3], param_optimal[2]]\n",
    "# pp = param_optimal[:-1]\n",
    "\n",
    "print(f_optimal.funcToFit)\n",
    "print(pp)\n",
    "print(\"\")\n",
    "\n",
    "##########################################################################3\n",
    "abar_scaling = 1.\n",
    "#################### small resonance #####################################3\n",
    "\n",
    "Bfield_plot_s = np.linspace(1000, 1060, 5000)\n",
    "## Bres, delta, y, q, gamma\n",
    "pps = [param_optimal_s[0], param_optimal_s[1], f_optimal_s.y, f_optimal_s.q, param_optimal_s[2]]\n",
    "# pp = param_optimal[:-1]\n",
    "\n",
    "print(f_optimal_s.funcToFit)\n",
    "print(pps)\n",
    "print(\"\")\n",
    "\n",
    "##########################################################################3\n",
    "\n",
    "fig = plt.figure(figsize = (12, 8))\n",
    "gs = gridspec.GridSpec(ncols=2, nrows=2, figure=fig, hspace=0)\n",
    "\n",
    "ax0 = fig.add_subplot(gs[0,0], facecolor = 'w')\n",
    "ax0.set_xticks([])\n",
    "ax0.set_ylabel('Scattering length $(a_{0})$', fontsize = 23)\n",
    "\n",
    "fig.text(-0.01, 0.95, '(a)', fontsize = 22)\n",
    "fig.text(-0.01, 0.495, '(b)', fontsize = 22)\n",
    "\n",
    "\n",
    "ax1 = fig.add_subplot(gs[1,0], facecolor = 'w')\n",
    "ax1.set_ylabel('Saturation factor $f(k)$', fontsize = 23)\n",
    "ax1.yaxis.set_label_coords(-0.235, 0.48)\n",
    "\n",
    "ax2 = fig.add_subplot(gs[0,1], facecolor = 'w')\n",
    "ax2.set_xticks([])\n",
    "\n",
    "ax3 = fig.add_subplot(gs[1,1], facecolor = 'w')\n",
    "fig.text(0.475, -0.025, 'Bias field (G)', fontsize = 25)\n",
    "\n",
    "alpha_big, beta_big, mod_sq_big, alpha_big_org, beta_big_org = modified_complex_a(Bfield_plot, param_optimal[:-1], 0, Tna, Tmol)\n",
    "\n",
    "ax0.plot(Bfield_plot, alpha_big_org/a_bohr, label=r'$\\mathrm{Re}[\\tilde{a}]$', c = 'b', linestyle = 'dashed')\n",
    "ax0.plot(Bfield_plot, beta_big_org/a_bohr, label=r'$\\mathrm{Im}[\\tilde{a}]$', c = 'r')\n",
    "\n",
    "alpha_small, beta_small, mod_sq_small, alpha_small_org, beta_small_org = modified_complex_a(Bfield_plot_s, param_temp_s, param_optimal_s[2], Tna_small, Tmol_small)\n",
    "\n",
    "ax2.plot(Bfield_plot_s, alpha_small_org/a_bohr, label=r'$\\mathrm{Re}[\\tilde{a}]$', c = 'b', linestyle = 'dashed')\n",
    "ax2.plot(Bfield_plot_s, beta_small_org/a_bohr, label=r'$\\mathrm{Im}[\\tilde{a}]$', c = 'r')\n",
    "\n",
    "## background scattering length\n",
    "alpha_bg_big, beta_bg_bg, m, alpha_bg_org_b, beta_bg_org_b = modified_complex_a(0, param_optimal[:-1], 0, Tna, Tmol)\n",
    "print(\" background scattering length_big res = {} -i {} a_o\".format(round(alpha_bg_big/a_bohr,2), round(beta_bg_bg/a_bohr,3)))\n",
    "\n",
    "alpha_bg_small, beta_bg_small, m, alpha_bg_org_s, beta_bg_org_s = modified_complex_a(0, param_temp_s, param_optimal_s[2], Tna_small, Tmol_small)\n",
    "print(\" background scattering length_small res = {} -i {} a_o\".format(round(alpha_bg_small/a_bohr,2), round(beta_bg_small/a_bohr,3)))\n",
    "\n",
    "\n",
    "##################################################################################################\n",
    "##################################################################################################\n",
    "sat_big = saturation_2d(Bfield_plot, param_optimal[:-1], 0, f_optimal.Tna, f_optimal.Tmol)\n",
    "sat_small = saturation_2d(Bfield_plot_s, param_temp_s, param_optimal_s[-1], f_optimal_s.Tna, f_optimal_s.Tmol)\n",
    "\n",
    "ax1.plot(Bfield_plot, sat_big, linestyle = 'solid', c = 'b')\n",
    "ax3.plot(Bfield_plot_s, sat_small, linestyle = 'solid', c = 'b')\n",
    "\n",
    "print(\"\")\n",
    "print(\" min saturation_big res = {}\".format(np.min(sat_big)))\n",
    "print(\" min saturation_small res = {}\".format(np.min(sat_small)))\n",
    "\n",
    "##################################################################################################\n",
    "##################################################################################################\n",
    "\n",
    "## where the density dependency was measured: SF_scan_1 = 7V\n",
    "B_density_dep = 0.005 * 547.24 * 86 + 1.92 * (7 - 6.75) + 745.24\n",
    "## where the density dependency was measured: SF_scan_1 = 7V\n",
    "B_density_dep2 = 0.005 * 547.24 * 86 + 1.92 * (5.78 - 6.75) + 745.24\n",
    "\n",
    "alpha_at, beta_at, mod_sq_at, alpha_at_org, beta_at_org = modified_complex_a(B_density_dep, param_optimal[:-1], 0, Tna, Tmol)\n",
    "print(\"\")\n",
    "print(\" ^^^^ the density dependency was measured at {} G\".format(B_density_dep))\n",
    "print(\" alpha = {} a_o\".format(alpha_at_org/a_bohr))\n",
    "print(\"\")\n",
    "print(\" most negative alpha = {} a_o\".format(min(alpha_big_org)/a_bohr))\n",
    "\n",
    "print(\"\")\n",
    "print(\"\")\n",
    "labelfont_size = 25\n",
    "for a in [ax0, ax1]:\n",
    "    a.tick_params(axis='x', labelsize=labelfont_size)\n",
    "    a.tick_params(axis='y', labelsize=labelfont_size)\n",
    "    a.set_xlim([961, 995])\n",
    "\n",
    "ax2.set_yticks([0, 30, 60, 90])\n",
    "\n",
    "ax0.legend(bbox_to_anchor=(0.32, 0.95), loc = 'upper right', handlelength = 1.0, frameon = True, fontsize = 22, labelspacing = 0.4, facecolor = 'w', borderpad = 0.1, edgecolor ='w',  framealpha = 0., markerscale = 1)\n",
    "ax3.set_ylim([0, 1.05])\n",
    "ax3.set_xticks([1020, 1030, 1040])\n",
    "\n",
    "ax1.set_ylim([0, 1.05])\n",
    "ax1.set_xticks([968, 978, 988])\n",
    "# ax1.set_xticks([962, 972, 982, 992])\n",
    "\n",
    "ax1.set_yticks([0., 0.5, 1.])\n",
    "ax3.set_yticks([0., 0.5, 1.])\n",
    "\n",
    "\n",
    "for a in [ax2, ax3]:\n",
    "    a.tick_params(axis='x', labelsize=labelfont_size)\n",
    "    a.tick_params(axis='y', labelsize=labelfont_size)\n",
    "    a.set_xlim([1015, 1045])\n",
    "#################################################################################\n",
    "\n",
    "plt.tight_layout()\n",
    "\n",
    "########################################################################################\n",
    "\n",
    "####################################################################par\n",
    "####################################################################\n",
    "# plt.savefig(join('PAPER_FIGURES', 'scattlength_3d.pdf'), bbox_inches='tight', pad_inches=0.035, dpi = 300)\n",
    "# plt.savefig(join('PAPER_FIGURES', 'scattlength_3d.png'), bbox_inches='tight', pad_inches=0.035, dpi = 300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Run the below functions for data processing"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## fitAndPlot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "def reducedChisq(fit, data, err, paramnum):\n",
    "    dof = len(data) - paramnum\n",
    "    print(\"\")\n",
    "    print(\"degree of freedom = num of points - num of parameters = {}\".format(dof))\n",
    "    print(\"\")\n",
    "    return 1./dof * np.sum((data - fit)**2/err**2)\n",
    "\n",
    "def fitAndPlot(data, polar_correct, fileName, rateOrConst = 'const', densitytype = '3d', flg_fit = 'pamodel', flg_init_na_cond = True, flg_draw = True, molTempPack=[-1, -1, -1, -1], naTempPack=[-1,-1,-1,-1]):\n",
    "    print(\"---------------------------------------------------------------------------------------------\")\n",
    "    if flg_draw is True:\n",
    "        fig, axs = plt.subplots(4,1,figsize = (6,10))\n",
    "    \n",
    "    t = np.sort(data[0])/1000.\n",
    "    t_temp = t[::-1] ## reversed\n",
    "    last_idx_of_init = len(t_temp) - np.argmin(t_temp) - 1\n",
    "    \n",
    "    if flg_init_na_cond is True:\n",
    "        idx_cut = last_idx_of_init + 1\n",
    "    else:\n",
    "        idx_cut = -1\n",
    "    \n",
    "    idx_sorted = np.argsort(data[0])\n",
    "#     na = data[1][idx_sorted]/polar_correct/num_pancakes\n",
    "    na = data[1][idx_sorted]/polar_correct\n",
    "    mol = data[2][idx_sorted]/polar_correct_mol/num_pancakes_mol\n",
    "    natemp = data[3][idx_sorted] * 1e-6\n",
    "    \n",
    "    \n",
    "    if naTempPack[0] == -1:\n",
    "        ########################################################################################################\n",
    "        ########################################################################################################\n",
    "        ## Replace Na temperatrue outliers....\n",
    "        try:\n",
    "            up_threshold = 3.0e-6\n",
    "            lo_threshold = 0.75e-6\n",
    "            natemp_mean_temp = np.mean(natemp[np.where((natemp < up_threshold) & (natemp > lo_threshold))[0]])\n",
    "            print(\"111111    {}\".format(natemp_mean_temp))\n",
    "            idx_to_replace = np.where((natemp > up_threshold) | (natemp < lo_threshold))[0]\n",
    "            print(\"222222       {}\".format(idx_to_replace))\n",
    "            for ii in idx_to_replace:\n",
    "                natemp[ii] = natemp_mean_temp\n",
    "            print(\"****** Na temperature > {}uK and < {}uk REPLACED as {} *******\".format(up_threshold*1e6, lo_threshold*1e6, moltemp_mean_temp))\n",
    "        except:\n",
    "            print(\"~~~~~~~ Na temperature < {}uK and < {}uk ~~~~~~~\".format(up_threshold*1e6, lo_threshold*1e6))\n",
    "        ########################################################################################################\n",
    "        ########################################################################################################\n",
    "        ##\n",
    "        init_na_temp = np.mean(natemp[0:idx_cut])\n",
    "        init_na_temp_sig = np.std(natemp[0:idx_cut])/np.sqrt(len(natemp[0:idx_cut]))\n",
    "#         init_na_temp_sig = np.std(natemp[0:idx_cut])\n",
    "        \n",
    "        mean_na_temp = np.mean(natemp)\n",
    "        mean_na_temp_sig = np.std(natemp)/np.sqrt(len(natemp))\n",
    "#         mean_na_temp_sig = np.std(natemp)\n",
    "        ## store\n",
    "        init_na_temp_forever = init_na_temp\n",
    "        init_na_temp_sig_forever = init_na_temp_sig\n",
    "        print(\"initial Na temp = {} +/- {} uk ({} %)\".format(round(init_na_temp *1e6, 3), round(init_na_temp_sig *1e6, 3), init_na_temp_sig/init_na_temp*100))\n",
    "        print(\"mean Na temp = {} +/- {} uk\".format(round(mean_na_temp *1e6, 3), round(mean_na_temp_sig *1e6, 3)))\n",
    "\n",
    "    else:\n",
    "        print(\"\")\n",
    "        print(\" Na temperature substituted...\")\n",
    "        print(\"\")\n",
    "        init_na_temp, init_na_temp_sig, mean_na_temp, mean_na_temp_sig = naTempPack\n",
    "    \n",
    "    ## store\n",
    "    init_na_temp_forever = init_na_temp\n",
    "    init_na_temp_sig_forever = init_na_temp_sig\n",
    "    \n",
    "    #####################    #####################    #####################\n",
    "    init_na_temp = mean_na_temp\n",
    "    init_na_temp_sig = mean_na_temp_sig\n",
    "\n",
    "    ## processing molecule temperature....\n",
    "    if molTempPack[0] == -1:\n",
    "    \n",
    "        moltemp = data[4][idx_sorted] * 29/6. * 1e-6\n",
    "        try:\n",
    "            up_threshold = 4e-6\n",
    "            lo_threshold = 1.0e-6\n",
    "            moltemp_mean_temp = np.mean(moltemp[np.where((moltemp < up_threshold) & (moltemp > lo_threshold))[0]])\n",
    "            print(\"111111    {}\".format(moltemp_mean_temp))\n",
    "            idx_to_replace = np.where((moltemp > up_threshold) | (moltemp < lo_threshold))[0]\n",
    "            print(\"222222       {}\".format(idx_to_replace))\n",
    "            for ii in idx_to_replace:\n",
    "                moltemp[ii] = moltemp_mean_temp\n",
    "            print(\"****** molecule temperature > {}uK and < {}uk REPLACED as {} *******\".format(up_threshold*1e6, lo_threshold*1e6, moltemp_mean_temp))\n",
    "        except:\n",
    "            print(\"~~~~~~~ molecule temperature < {}uK and < {}uk ~~~~~~~\".format(up_threshold*1e6, lo_threshold*1e6))\n",
    "            print(\" MEAN MOL TEMP {} uk\".format(np.mean(moltemp)))\n",
    "\n",
    "        ## for some data, the TOF for Li was set to be very small since the \n",
    "        ## signal was too small. \n",
    "        ## For this reason, I use initial Na temp..\n",
    "        init_mol_temp = np.mean(moltemp[0:idx_cut])\n",
    "        init_mol_temp_sig = np.std(moltemp[0:idx_cut])/np.sqrt(len(moltemp[0:idx_cut]))\n",
    "#         init_mol_temp_sig = np.std(moltemp[0:idx_cut])\n",
    "        print(\"init mol temp = {} ({} %)\".format(init_mol_temp*1e6, init_mol_temp_sig/init_mol_temp*100))\n",
    "        ## or\n",
    "        mean_mol_temp = np.mean(moltemp)\n",
    "        mean_mol_temp_sig = np.std(moltemp)/np.sqrt(len(moltemp))\n",
    "#         mean_mol_temp_sig = np.std(moltemp)\n",
    "        print(\"mean mol temp = {} ({} %)\".format(mean_mol_temp*1e6, mean_mol_temp_sig/mean_mol_temp*100))\n",
    "\n",
    "    #     if mean_mol_temp > 2e-6:\n",
    "    #         mean_mol_temp = 1.8e-6\n",
    "    #     if init_mol_temp > 2e-6:\n",
    "    #         init_mol_temp = 1.8e-6\n",
    "\n",
    "        #####################    #####################    #####################\n",
    "    #     init_mol_temp = mean_mol_temp\n",
    "    #     init_mol_temp_sig = mean_mol_temp_sig\n",
    "        #####################    #####################    #####################\n",
    "    else:\n",
    "        print(\"\")\n",
    "        print(\" molecule temperature substituted...\")\n",
    "        print(\"\")\n",
    "        init_mol_temp, init_mol_temp_sig, mean_mol_temp, mean_mol_temp_sig = molTempPack\n",
    "    \n",
    "    ## store\n",
    "    init_mol_temp_forever = init_mol_temp\n",
    "    init_mol_temp_sig_forever = init_mol_temp_sig\n",
    "    \n",
    "    ########################################################################################################\n",
    "    ########################################################################################################\n",
    "    ########################################################################################################\n",
    "    ########################################################################################################\n",
    "    \n",
    "    num_pancakes = latticeFactor(np.mean(na))\n",
    "    print(\"\")\n",
    "    print(\" --- lattice factor: {} for Na num {}E3\".format(num_pancakes, np.mean(na)/1000.))\n",
    "    print(\"\")\n",
    "    num_pancakes_sig = 0.06 * num_pancakes\n",
    "    na /= num_pancakes\n",
    "    #######################################################################\n",
    "    ## 0. fit Na loss to simple exponential, to get the initial Na number\n",
    "    popt0, pcov0 = curve_fit(onebody, t, na)\n",
    "    fiterr0 = np.sqrt(np.diag(pcov0))\n",
    "    if popt[1] < 0:\n",
    "        popt[1] = -popt[1]\n",
    "        init_na_num = np.mean(na[0:idx_cut]) \n",
    "    else:\n",
    "        init_na_num = popt0[0]\n",
    "    init_na_num_sig = init_na_num * np.sqrt((num_pancakes_sig/num_pancakes)**2 + ((fiterr0[0]/init_na_num))**2)\n",
    "    \n",
    "    if flg_draw is True:\n",
    "        tt = np.linspace(0, np.max(t), 100)\n",
    "        axs[0].plot(tt, onebody(tt, *popt0), label = 'exp')\n",
    "\n",
    "    print(\"TOTAL init Na num from exponential fit= {}k\".format(init_na_num * polar_correct* num_pancakes/1000.))\n",
    "# I just took the uncertainty with entire Na num data\n",
    "#     init_na_num = np.mean(na[0:idx_cut])  \n",
    "    init_na_num_sig = init_na_num * np.sqrt((num_pancakes_sig/num_pancakes)**2 + ((np.std(na)/np.sqrt(len(na)))/np.mean(na))**2)\n",
    "    print(\"TOTAL Na num = {}k\".format(init_na_num * polar_correct * num_pancakes/1000))\n",
    "    \n",
    "\n",
    "#     init_mol_temp = mean_mol_temp\n",
    "#     init_mol_temp_sig = mean_mol_temp_sig\n",
    "    \n",
    "#     init_na_num = np.mean(na)\n",
    "#     init_na_num_sig = np.std(na)/np.sqrt(len(na))\n",
    "#################################################################################\n",
    "#################################################################################\n",
    "#################################################################################\n",
    "######## record the init and mean Na and Mol numbers per pancake ###############\n",
    "    \n",
    "    \n",
    "#################################################################################\n",
    "######################### Na density calculation ################################\n",
    "#################################################################################\n",
    "#     factor = 305799.149334 *(2 * np.pi)**(-3) *(45000 * 325 * 460)**-1\n",
    "    factor = 8. * (np.pi * 1.38 * 6.02/(23e-3))**(3./2) * geometric_omega_na**-3\n",
    "    init_na_volume = factor * init_na_temp**(1.5) ## Volume in m^3\n",
    "    init_na_volume_sig = factor *1.5 * init_na_temp**0.5 * init_na_temp_sig\n",
    "\n",
    "#     init_na_density = init_na_num/init_na_volume * anharmonic_correction\n",
    "    init_na_density = init_na_num/init_na_volume * anharmonic_correction_na\n",
    "    init_na_density_sig = init_na_density * np.sqrt((init_na_num_sig/init_na_num)**2 +(init_na_volume_sig/init_na_volume)**2 + (anharmonic_correction_sig/anharmonic_correction)**2)\n",
    "\n",
    "#################################################################################\n",
    "############## density overlap seen by molecules calculation ####################\n",
    "#################################################################################\n",
    "\n",
    "    \n",
    "    print(\"\")\n",
    "    print(\"init mol temp/init Na temp = {}\".format(init_mol_temp/init_na_temp))\n",
    "    print(\"init mol temp = {} uk\".format(init_mol_temp))\n",
    "    print(\"init na temp = {} uk\".format(init_na_temp))\n",
    "    print(\"\")\n",
    "    \n",
    "    if densitytype == '3d':\n",
    "        overlap_volume =  geometric_omega_na**(-3) * ((2 * np.pi * kb * init_na_temp/(23e-3/6.02e23))*(1 + polarizability_ratio**(-1) * init_mol_temp/init_na_temp))**(3./2)\n",
    "    else:\n",
    "        RxRy =  (omega_na[0] * omega_na[1])**-1 * ((2 * np.pi * kb * init_na_temp/(23e-3/6.02e23))*(1 + polarizability_ratio**(-1) * init_mol_temp/init_na_temp))\n",
    "        Rax =  omega_na[-1]**-1 * ((2 * np.pi * kb * init_na_temp/(23e-3/6.02e23))*(1 + polarizability_ratio**(-1) * init_mol_temp/init_na_temp))**(1/2.)\n",
    "        l_ax = (length_trap_mol[-1] * length_trap_na[-1] * np.pi) * np.sqrt(np.pi * h_bar/(m_na * omega_na[-1] + m_mol * omega_mol[-1]))**-1\n",
    "        print(\"\")\n",
    "        print(\"        Axial thermal width, Rax = {} nm\".format(Rax * 1e9))\n",
    "        print(\"        Axial ground state overlap, l_ax = {} nm\".format(l_ax * 1e9))\n",
    "        print(\"\")\n",
    "        overlap_volume = RxRy * l_ax\n",
    "#     else:\n",
    "#         RxRy =  (omega_na[0] * omega_na[1])**-1 * ((2 * np.pi * kb * init_na_temp/(23e-3/6.02e23))*(1 + polarizability_ratio**(-1) * init_mol_temp/init_na_temp))\n",
    "#         R_ax = (length_trap_mol * length_trap_na * np.pi)**-1 * np.sqrt(np.pi * h_bar/(m_na * omega_na[-1] + m_mol * omega_mol[-1]))\n",
    "#         overlap_volume = RxARy * R_ax\n",
    "        \n",
    "#     overlap_volume_sig = init_na_temp_sig * 1.5 * overlap_volume * (init_na_temp * (1 + polarizability_ratio**(-1) * init_mol_temp/init_na_temp))**-1\n",
    "    overlap_volume_sig_old = (init_na_temp_sig + init_mol_temp_sig/polarizability_ratio)* 1.5 * overlap_volume * (init_na_temp * (1 + polarizability_ratio**(-1) * init_mol_temp/init_na_temp))**-1\n",
    "    ## While writing thesis, adding the uncertainty of polarizability ratio\n",
    "    A = init_mol_temp/init_na_temp * polarizability_ratio**-1 * (1 + polarizability_ratio**-1 * init_mol_temp/init_na_temp)**-1\n",
    "    overlap_volume_sig = overlap_volume * 3/2. *np.sqrt((init_na_temp_sig/init_na_temp * (1-A))**2 + (init_mol_temp_sig/init_mol_temp * A)**2 + (polarizability_ratio_sig/polarizability_ratio * A)**2) \n",
    "    print(\"\")\n",
    "    print(\"overlap volume sig ratio: new/old = {}\".format(overlap_volume_sig/overlap_volume_sig_old))\n",
    "    \n",
    "    init_overlap_density = init_na_num/overlap_volume * anharmonic_correction\n",
    "    init_overlap_density_sig = init_overlap_density * np.sqrt((init_na_num_sig/init_na_num)**2 +(overlap_volume_sig/overlap_volume)**2 + (anharmonic_correction_sig/anharmonic_correction)**2)\n",
    "    init_overlap_density_sig_sys = init_overlap_density * np.sqrt((systematic_error_sig/systematic_error)**2 + (init_na_num_sig/init_na_num)**2 +(overlap_volume_sig/overlap_volume)**2 + (anharmonic_correction_sig/(anharmonic_correction))**2)\n",
    "    print(\"\")\n",
    "    print(\"init na num = {} at {} uk\".format(init_na_num, init_na_temp *1e6))\n",
    "    print(\"init Na density = {} cm^-3 ({} %)\".format(init_na_density * 1e-6, init_na_density_sig/init_na_density*100))\n",
    "    print(\"\")\n",
    "    print(\"init overlap density = {} cm^-3 ({} %) ({} % including systematic uncert.)\".format(init_overlap_density *1e-6, init_overlap_density_sig/init_overlap_density*100, init_overlap_density_sig_sys/init_overlap_density*100.))\n",
    "    print(\"systematic error = {} %\".format((systematic_error_sig/systematic_error) * 100))\n",
    "    print(\"(init overlap density/init Na density) = {}\".format(init_overlap_density/init_na_density))   \n",
    "    \n",
    "    ## for the easiness of substitution\n",
    "    init_na_volume = overlap_volume\n",
    "    init_na_volume_sig = overlap_volume_sig\n",
    "    init_na_density = init_overlap_density\n",
    "    init_na_density_sig = init_overlap_density_sig\n",
    "    \n",
    "#     if flg_fit == 'fullmodel':\n",
    "    ################################################################\n",
    "    ## 1. we solve the full two-body + one-body model, assuming \n",
    "    ## universal loss for molecular two-body loss\n",
    "    ## curve_fit to the full model with ode_int\n",
    "    \n",
    "    twobody_coeff, twobody_coeff_sig = molUnivLossCoeff(init_mol_temp, init_mol_temp_sig)\n",
    "        \n",
    "    factor = 8. * (np.pi * 1.38 * 6.02/(29e-3))**(3./2) * geometric_omega_mol**-3\n",
    "    init_mol_volume = factor * init_mol_temp**(1.5) ## Volume in m^3\n",
    "    init_mol_volume_sig = factor *1.5 * init_mol_temp**0.5 * init_mol_temp_sig\n",
    "#     twobody_coeff_divided_volume = twobody_coeff/(init_mol_volume/anharmonic_correction_mol)\n",
    "    twobody_coeff_divided_volume = twobody_coeff/(init_mol_volume/anharmonic_correction_mol)\n",
    "    \n",
    "    init_mol_num = np.mean(mol[0:idx_cut])\n",
    "    init_mol_num_sig = np.std(mol[0:idx_cut])/np.sqrt(len(mol[0:idx_cut]))\n",
    "    init_mol_density = init_mol_num/init_mol_volume * anharmonic_correction_mol\n",
    "    init_mol_density_sig = init_mol_density * np.sqrt((anharmonic_correction_mol_sig/anharmonic_correction_mol)**2 + (init_mol_volume_sig/init_mol_volume)**2 + (init_mol_num_sig/init_mol_num)**2)\n",
    "    print(\"\")\n",
    "    print(\"init mol num = {} at {} uk\".format(init_mol_num, init_mol_temp *1e6))\n",
    "    print(\"init molecule density = {} cm^-3 ({} %)\".format(init_mol_density *1e-6, init_mol_density_sig/init_mol_density*100))\n",
    "    print(\"two-body rate coefficient = {} cm^3/s\".format(twobody_coeff*1e6))\n",
    "    print(\"\")\n",
    "    ###################################\n",
    "    def onetwobody(t, initnum, gamma1):\n",
    "        N0 = initnum\n",
    "        gamma2 = twobody_coeff_divided_volume\n",
    "        sol = odeint(fullModel, N0, t, args=(gamma1, gamma2))  \n",
    "        return sol[:, 0]\n",
    "    ###################################\n",
    "    popt1, pcov1 = curve_fit(onetwobody, t, mol, p0=[init_mol_num, 1e-1])\n",
    "    fiterr1 = np.sqrt(np.diag(pcov1))\n",
    "    gamma1 = popt1[-1]\n",
    "    gamma1_sig = fiterr1[-1] \n",
    "\n",
    "    lossRateCoeff1 = gamma1/init_overlap_density * 1e6 ## in cm^3/sec\n",
    "    lossRateCoeff1_sig = lossRateCoeff1 * np.sqrt((gamma1_sig/gamma1)**2 +(init_overlap_density_sig/init_overlap_density)**2)\n",
    "    lossRateCoeff1_sig_sys = lossRateCoeff1 * np.sqrt((systematic_error_sig/systematic_error)**2 + (gamma1_sig/gamma1)**2 +(init_overlap_density_sig/init_overlap_density)**2 + (anharmonic_correction_sig/(anharmonic_correction))**2)\n",
    "    print(\"\")\n",
    "    print(\"full model fit: gamma_sigma/gamma = {}\".format(gamma1_sig/gamma1))\n",
    "    print(\"loss rate coefficient = {} ({} %) ({} % including systematic err)\".format(lossRateCoeff1, lossRateCoeff1_sig/lossRateCoeff1*100, lossRateCoeff1_sig_sys/lossRateCoeff1*100))\n",
    "    print(\"\")\n",
    "    \n",
    "    if flg_draw is True:\n",
    "        tt = np.linspace(0, np.max(t), 100)\n",
    "        axs[1].plot(tt, onetwobody(tt, *popt1), label = 'full model', c = 'r')\n",
    "\n",
    "    if rateOrConst == 'rate':\n",
    "        lossRateCoeff1 = gamma1\n",
    "        lossRateCoeff1_sig = gamma1_sig\n",
    "        \n",
    "#     elif flg_fit == 'pamodel':\n",
    "    ################################################################\n",
    "    ## 2. we fit to the analytic model of one-to-one loss for molecule & Na\n",
    "    mol_init_num = np.mean(mol[:idx_cut])\n",
    "    init_num_ratio = init_na_num/mol_init_num\n",
    "    init_num_diff = init_na_num - mol_init_num \n",
    "#         print(\"init num ratio = \" + str(init_num_ratio))\n",
    "#         print(\"init num diff = \" + str(init_num_diff))\n",
    "#         print(\"\")\n",
    "    def func_pa_mol_fix(t, gamma):\n",
    "        C = init_num_ratio\n",
    "        D = init_num_diff\n",
    "        return D/(C * np.exp(D*gamma*t) -1)\n",
    "\n",
    "    init_cond = [1e-2]\n",
    "    b = ((1e-4),(10))\n",
    "    popt2, pcov2 = curve_fit(func_pa_mol_fix, t, mol, p0 = init_cond)\n",
    "    fiterr2 = np.sqrt(np.diag(pcov2))\n",
    "\n",
    "    gamma2 = popt2[0] \n",
    "    gamma2_sig = fiterr2[0] \n",
    "\n",
    "#     lossRateCoeff2 = gamma2/init_na_density * 1e6 ## in cm^3/sec\n",
    "    lossRateCoeff2 = gamma2 * (overlap_volume/anharmonic_correction) * 1e6 ## in cm^3/sec\n",
    "    lossRateCoeff2_sig = lossRateCoeff2 * np.sqrt((gamma2_sig/gamma2)**2 +(overlap_volume_sig/overlap_volume)**2 + (anharmonic_correction_sig/anharmonic_correction)**2)\n",
    "    lossRateCoeff2_sig_sys = lossRateCoeff2 * np.sqrt((systematic_error_sig/systematic_error)**2 + (gamma2_sig/gamma2)**2 +(overlap_volume_sig/overlap_volume)**2 + (anharmonic_correction_sig/(anharmonic_correction))**2)\n",
    "    print(\"systematic error = {} %\".format((systematic_error_sig/systematic_error) * 100))\n",
    "    print(\"loss rate from PA model = {}\".format(gamma2 * init_na_num))\n",
    "    \n",
    "    def func_pa_na_fix(t, gamma):\n",
    "        C = init_num_ratio\n",
    "        D = init_num_diff\n",
    "        return -D/(C**-1 * np.exp(-D*gamma*t) - 1)\n",
    "    \n",
    "    init_cond = [1e-1]\n",
    "    popt_temp, pcov_temp = curve_fit(func_pa_na_fix, t, na, p0 = init_cond)\n",
    "    fiterr_temp = np.sqrt(np.diag(pcov_temp))\n",
    "    \n",
    "    print(\"\")\n",
    "    print(\"PA analytic fit: gamma_sigma/gamma = {}\".format(gamma2_sig/gamma2))\n",
    "    print(\"\")\n",
    "    \n",
    "    if flg_draw is True:\n",
    "        tt = np.linspace(0, np.max(t), 100)\n",
    "        axs[1].plot(tt, func_pa_mol_fix(tt, *popt2), label = 'analytic')\n",
    "        \n",
    "        axs[0].plot(tt, func_pa_na_fix(tt, *popt2), label = 'analytic_from mol fit')\n",
    "        axs[0].plot(tt, func_pa_na_fix(tt, *popt_temp), label = 'analytic_from Na fit')\n",
    "\n",
    "    if rateOrConst == 'rate':\n",
    "        lossRateCoeff2 = gamma2 * init_na_num\n",
    "        lossRateCoeff2_sig = np.sqrt((gamma2_sig)**2 + (init_na_num_sig)**2)\n",
    "        \n",
    "#     elif flg_fit == 'exp':\n",
    "    ################################################################\n",
    "    ## 3. simple exponential fit\n",
    "    popt3, pcov3 = curve_fit(onebody, t, mol)\n",
    "    fiterr3 = np.sqrt(np.diag(pcov3))\n",
    "    gamma3 = popt3[-1]\n",
    "    gamma3_sig = fiterr3[-1] \n",
    "\n",
    "    lossRateCoeff3 = gamma3/init_na_density * 1e6 ## in cm^3/sec\n",
    "    lossRateCoeff3_sig = lossRateCoeff3 * np.sqrt((gamma3_sig/gamma3)**2 +(init_na_density_sig/init_na_density)**2)\n",
    "    lossRateCoeff3_sig_sys = lossRateCoeff3 * np.sqrt((systematic_error_sig/systematic_error)**2 + (gamma3_sig/gamma3)**2 +(init_na_num_sig/init_na_num)**2 +(overlap_volume_sig/overlap_volume)**2 + (anharmonic_correction_sig/anharmonic_correction)**2)\n",
    "    \n",
    "#     if flg_draw is True:\n",
    "#         tt = np.linspace(0, np.max(t), 100)\n",
    "#         axs[1].plot(tt, onebody(tt, *popt3), label ='exponential')\n",
    "    \n",
    "    print(\"loss rate from EXP fit = {}\".format(gamma3))\n",
    "    #####################################################    \n",
    "    ## 4. simple exponential + offset fit\n",
    "    try:\n",
    "        popt4, pcov4 = curve_fit(onebodyoffset, t, mol)\n",
    "        fiterr4 = np.sqrt(np.diag(pcov4))\n",
    "        gamma4 = popt4[-2]\n",
    "        gamma4_sig = fiterr4[-2] \n",
    "\n",
    "        lossRateCoeff4 = gamma4/init_na_density * 1e6 ## in cm^3/sec\n",
    "        lossRateCoeff4_sig = lossRateCoeff4 * np.sqrt((gamma4_sig/gamma4)**2 +(init_na_density_sig/init_na_density)**2)\n",
    "\n",
    "#         if flg_draw is True:\n",
    "#             tt = np.linspace(0, np.max(t), 100)\n",
    "#             axs[1].plot(tt, onebodyoffset(tt, *popt4), label ='exp+offset')\n",
    "    except:\n",
    "        lossRateCoeff4 = 0.\n",
    "        lossRateCoeff4_sig = 1.\n",
    "    #####################################################    \n",
    "   \n",
    "    ################################################################\n",
    "    ## 5. we solve the full two-body + one-body model, with Na exponential loss \n",
    "    ## universal loss for molecular two-body loss\n",
    "    ## curve_fit to the full model with ode_int\n",
    "    \n",
    "    twobody_coeff, twobody_coeff_sig = molUnivLossCoeff(init_mol_temp, init_mol_temp_sig)\n",
    "    print(\"two-body rate coefficient = {} cm^3/s\".format(twobody_coeff*1e6))\n",
    "    \n",
    "    factor = 8. * (np.pi * 1.38 * 6.02/(29e-3))**(3./2) * geometric_omega_mol**-3\n",
    "    init_mol_volume = factor * init_mol_temp**(1.5) ## Volume in m^3\n",
    "    init_mol_volume_sig = factor *1.5 * init_mol_temp**0.5 * init_mol_temp_sig\n",
    "#     twobody_coeff_divided_volume = twobody_coeff/(init_mol_volume/anharmonic_correction_mol)\n",
    "    twobody_coeff_divided_volume = twobody_coeff/(init_mol_volume/anharmonic_correction_mol)\n",
    "    ###################################\n",
    "    def onetwobody_NaExp(t, initnum, gamma1):\n",
    "        N0 = initnum\n",
    "        gamma2 = twobody_coeff_divided_volume\n",
    "        \n",
    "        if popt0[1] < 0:\n",
    "            gamma_naloss = 0.\n",
    "        else:\n",
    "            gamma_naloss = popt0[1]\n",
    "                \n",
    "        sol = odeint(fullModel_NaExp, N0, t, args=(gamma1, gamma2, popt0[0], gamma_naloss))  \n",
    "        return sol[:, 0]\n",
    "    ###################################\n",
    "    popt5, pcov5 = curve_fit(onetwobody_NaExp, t, mol, p0=[init_mol_num, 1e-1])\n",
    "    fiterr5 = np.sqrt(np.diag(pcov5))\n",
    "    gamma5 = popt5[-1]\n",
    "    gamma5_sig = fiterr5[-1] \n",
    "\n",
    "    lossRateCoeff5 = gamma5* overlap_volume/anharmonic_correction * 1e6 ## in cm^3/sec\n",
    "    lossRateCoeff5_sig = lossRateCoeff5 * np.sqrt((gamma5_sig/gamma5)**2 +(overlap_volume_sig/overlap_volume)**2 + (anharmonic_correction_sig/anharmonic_correction)**2)\n",
    "    lossRateCoeff5_sig_sys = lossRateCoeff5 * np.sqrt((systematic_error_sig/systematic_error)**2 + (gamma5_sig/gamma5)**2 +(overlap_volume_sig/overlap_volume)**2 + (anharmonic_correction_sig/(anharmonic_correction))**2)\n",
    "    print(\"\")\n",
    "    print(\"fullmodel_NaExp fit: gamma_sigma/gamma = {}\".format(gamma5_sig/gamma5))\n",
    "    print(\"loss rate coefficient = {} ({} %) ({} % including systematic err)\".format(lossRateCoeff5, lossRateCoeff5_sig/lossRateCoeff5*100, lossRateCoeff5_sig_sys/lossRateCoeff5*100))\n",
    "    print(\"systematic error = {} %\".format((systematic_error_sig/systematic_error) * 100))\n",
    "    print(\"\")\n",
    "    \n",
    "    if flg_draw is True:\n",
    "        tt = np.linspace(0, np.max(t), 100)\n",
    "        axs[1].plot(tt, onetwobody_NaExp(tt, *popt5), label = 'full model_NaExp', c = 'k', linestyle = 'dotted')\n",
    "    \n",
    "    \n",
    "    if rateOrConst == 'rate':\n",
    "        lossRateCoeff5 = gamma5 * init_na_num\n",
    "        lossRateCoeff5_sig = np.sqrt(gamma5_sig**2 + init_na_num_sig**2)\n",
    "    \n",
    "    ################################################################################################\n",
    "\n",
    "    ################################################################\n",
    "    ## 6. we solve the full two-body + one-body model, with Na loss follows the PA analytic solution\n",
    "    ## universal loss for molecular two-body loss\n",
    "    ## curve_fit to the full model with ode_int\n",
    "    \n",
    "    twobody_coeff, twobody_coeff_sig = molUnivLossCoeff(init_mol_temp, init_mol_temp_sig)\n",
    "    print(\"two-body rate coefficient = {} cm^3/s\".format(twobody_coeff*1e6))\n",
    "    \n",
    "    factor = 8. * (np.pi * 1.38 * 6.02/(29e-3))**(3./2) * geometric_omega_mol**-3\n",
    "    init_mol_volume = factor * init_mol_temp**(1.5) ## Volume in m^3\n",
    "    init_mol_volume_sig = factor *1.5 * init_mol_temp**0.5 * init_mol_temp_sig\n",
    "#     twobody_coeff_divided_volume = twobody_coeff/(init_mol_volume/anharmonic_correction_mol)\n",
    "    twobody_coeff_divided_volume = twobody_coeff/(init_mol_volume/anharmonic_correction_mol)\n",
    "    ###################################\n",
    "    def onetwobody_NaPA(t, initnum, gamma1):\n",
    "        N0 = initnum\n",
    "        gamma2 = twobody_coeff_divided_volume\n",
    "        sol = odeint(fullModel_NaPA, N0, t, args=(gamma1, gamma2, init_num_ratio, init_num_diff))  \n",
    "        return sol[:, 0]\n",
    "    ###################################\n",
    "    popt6, pcov6 = curve_fit(onetwobody_NaPA, t, mol, p0=[init_mol_num, 1e-2])\n",
    "    fiterr6 = np.sqrt(np.diag(pcov6))\n",
    "    gamma6 = popt6[-1]\n",
    "    gamma6_sig = fiterr6[-1] \n",
    "\n",
    "    lossRateCoeff6 = gamma6 * overlap_volume/anharmonic_correction * 1e6 ## in cm^3/sec\n",
    "    lossRateCoeff6_sig = lossRateCoeff6 * np.sqrt((gamma6_sig/gamma6)**2 +(overlap_volume_sig/overlap_volume)**2 + (anharmonic_correction_sig/anharmonic_correction)**2)\n",
    "    lossRateCoeff6_sig_sys = lossRateCoeff6 * np.sqrt((systematic_error_sig/systematic_error)**2 + (gamma6_sig/gamma6)**2 +(overlap_volume_sig/overlap_volume)**2 + (anharmonic_correction_sig/(anharmonic_correction))**2)\n",
    "    print(\"\")\n",
    "    print(\"fullmodel_NaPA fit: gamma_sigma/gamma = {}\".format(gamma6_sig/gamma6))\n",
    "    print(\"loss rate coefficient = {} ({} %) ({} % including systematic err)\".format(lossRateCoeff6, lossRateCoeff6_sig/lossRateCoeff6*100, lossRateCoeff6_sig_sys/lossRateCoeff6*100))\n",
    "    print(\"systematic error = {} %\".format((systematic_error_sig/systematic_error) * 100))\n",
    "    print(\"\")\n",
    "        \n",
    "    if flg_draw is True:\n",
    "        tt = np.linspace(0, np.max(t), 100)\n",
    "        axs[1].plot(tt, onetwobody_NaPA(tt, *popt6), label = 'full model_NaPA', c = 'k', linestyle = 'dashed')\n",
    "    \n",
    "    if rateOrConst == 'rate':\n",
    "        lossRateCoeff6 = gamma6 * init_na_num\n",
    "        lossRateCoeff6_sig = np.sqrt(gamma6_sig**2 + init_na_num_sig**2)\n",
    "    \n",
    "    \n",
    "    ################################################################################################\n",
    "    \n",
    "    \n",
    "    if flg_draw is True:\n",
    "        axs[0].scatter(t, na, label = fileName)\n",
    "        axs[1].scatter(t, mol, label = fileName)\n",
    "        axs[2].scatter(t, natemp * 1e6, label = fileName)\n",
    "        \n",
    "        axs[0].set_ylabel('na num')\n",
    "        axs[1].set_ylabel('mol num')\n",
    "        axs[2].set_ylabel('na temp')\n",
    "        \n",
    "        if molTempPack[0] == -1:\n",
    "            axs[3].scatter(t, moltemp * 1e6, label = fileName)\n",
    "            axs[3].set_ylabel('mol temp')\n",
    "        \n",
    "        for a in axs:\n",
    "            a.set_xlabel('time (sec)')\n",
    "            a.legend()\n",
    "\n",
    "        plt.tight_layout()\n",
    "        plt.show()\n",
    "    \n",
    "    out = []\n",
    "    out.append([lossRateCoeff1, lossRateCoeff1_sig, -1])\n",
    "    out.append([lossRateCoeff2, lossRateCoeff2_sig, lossRateCoeff2_sig_sys])\n",
    "    out.append([lossRateCoeff3, lossRateCoeff3_sig, lossRateCoeff3_sig_sys])\n",
    "    out.append([lossRateCoeff4, lossRateCoeff4_sig, -1])\n",
    "    out.append([lossRateCoeff5, lossRateCoeff5_sig, lossRateCoeff5_sig_sys])\n",
    "    out.append([lossRateCoeff6, lossRateCoeff6_sig, lossRateCoeff6_sig_sys])\n",
    "    \n",
    "    mean_na_num_out = np.mean(na)\n",
    "    init_na_num_out = init_na_num \n",
    "    mean_mol_num_out = np.mean(mol)\n",
    "    init_mol_num_out = init_mol_num\n",
    "    num_pancakes_pakced = [init_na_num_out, mean_na_num_out, init_mol_num_out, mean_mol_num_out]\n",
    "\n",
    "#     print(lossRateCoeff, lossRateCoeff_sig)\n",
    "    temp_packed = [init_na_temp_forever, init_na_temp_sig_forever, mean_na_temp, mean_na_temp_sig, init_mol_temp_forever, init_mol_temp_sig_forever, mean_mol_temp, mean_mol_temp_sig]\n",
    "    return np.array(out), temp_packed, np.mean(na * num_pancakes), num_pancakes, num_pancakes_pakced"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [],
   "source": [
    "def processData(fileName, varindex = 0, dataindex = 1, errindex = 2, errsysindex = 3, flgerr = 'stdev'):\n",
    "    working_dir = os.getcwd()\n",
    "    fileName = str(fileName)\n",
    "    callThis = join(working_dir, fileName)\n",
    "\n",
    "#     temp = np.genfromtxt(callThis, delimiter=',', dtype=float, comments = \"#\", names=('var', 'data'))\n",
    "#     x = np.array(temp['var'])\n",
    "#     y = np.array(temp['data'])\n",
    "    \n",
    "    data = np.loadtxt(callThis, delimiter='\\t', unpack=True)\n",
    "    x = data[varindex]\n",
    "    y = data[dataindex]\n",
    "    err = data[errindex]\n",
    "    err_sys = data[errsysindex]\n",
    "    \n",
    "    x_sorted = np.sort(x)\n",
    "    \n",
    "    idx_sorted = np.argsort(x)\n",
    "    y_sorted = y[idx_sorted]\n",
    "    \n",
    "    err_sorted = err[idx_sorted] \n",
    "    err_sys_sorted = err_sys[idx_sorted] \n",
    "    \n",
    "    var = []\n",
    "    avg = []\n",
    "    err = []\n",
    "    err_sys = []\n",
    "    try:\n",
    "        for i, element in enumerate(x_sorted):\n",
    "            if i == 0: \n",
    "                i_begin = 0\n",
    "                prev_element = element\n",
    "\n",
    "            if element != prev_element or i == len(x_sorted)-1:\n",
    "            \n",
    "                i_end = i\n",
    "                if i == len(x_sorted)-1:\n",
    "                    i_end = i+1\n",
    "                    if x_sorted[i_begin] != x_sorted[i_end-1]:\n",
    "                        var.append(x_sorted[-2])\n",
    "                        avg.append(y_sorted[-2])\n",
    "                        err.append(err_sorted[-2])\n",
    "                        err_sys.append(err_sys_sorted[-2])\n",
    "                        \n",
    "                        var.append(x_sorted[-1])\n",
    "                        avg.append(y_sorted[-1])\n",
    "                        err.append(err_sorted[-1])\n",
    "                        err_sys.append(err_sys_sorted[-1])\n",
    "                        break\n",
    "\n",
    "                arr = y_sorted[i_begin:i_end]\n",
    "                if x_sorted[i_begin] != x_sorted[i_end-1] and i != (len(x_sorted)-1):\n",
    "                    print(\" ======== exception ========== \")\n",
    "                    raise Exception()\n",
    "\n",
    "                variable = x_sorted[i_begin]\n",
    "                var.append(variable)\n",
    "#                 avg.append(np.mean(arr))\n",
    "                \n",
    "                arr_err = err_sorted[i_begin:i_end]     \n",
    "                arr_err_sys = err_sys_sorted[i_begin:i_end]\n",
    "                if len(arr) == -1:\n",
    "                       \n",
    "                    weighted_mean, weighted_ste = weighted_mean_std(arr, arr_err)\n",
    "                    avg.append(weighted_mean)\n",
    "                    err.append(weighted_ste)\n",
    "                    \n",
    "                    weighted_mean_sys, weighted_ste_sys = weighted_mean_std(arr, arr_err_sys)\n",
    "                    err_sys.append(weighted_ste_sys)\n",
    "                else:\n",
    "                    avg.append(np.mean(arr))\n",
    "                    ## old way\n",
    "                    e = np.sqrt(np.sum(arr_err**2))/len(arr_err)            \n",
    "                    e = np.max([e, np.max(arr_err)])\n",
    "                    err.append(e)    \n",
    "\n",
    "                    e_sys = np.sqrt(np.sum(arr_err_sys**2))/len(arr_err_sys)            \n",
    "                    err_sys.append(np.max([e, max(arr_err_sys)]))\n",
    "                \n",
    "                i_begin = i\n",
    "            \n",
    "            prev_element = element\n",
    "            \n",
    "    except Exception:\n",
    "        print(\" --- something went wrong ----\")\n",
    "    \n",
    "    out = np.array([np.array(var), np.array(avg), np.array(err), np.array(err_sys)])\n",
    "    return out\n",
    "\n",
    "def weighted_mean_std(d, e):\n",
    "    d = np.array(d)\n",
    "    e = np.array(e)\n",
    "    data = d.flatten()\n",
    "    err = e.flatten()\n",
    "    \n",
    "    variance_weights = 1./err**2\n",
    "    norm = np.sum(variance_weights)\n",
    "    \n",
    "    temp = 0.\n",
    "    for i, w in enumerate(variance_weights):\n",
    "        temp += w * data[i]\n",
    "        \n",
    "    weighted_mean = temp/norm\n",
    "    std = np.std(data)\n",
    "    ste =  std * np.sqrt(np.sqrt(np.sum(variance_weights**2)/norm**2))\n",
    "        \n",
    "    return weighted_mean, ste, std "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "def processData_internal(x, y, flgerr = 'stdev'):\n",
    "    \n",
    "    x_sorted = np.sort(x)\n",
    "    \n",
    "    idx_sorted = np.argsort(x)\n",
    "    y_sorted = y[idx_sorted]\n",
    "    \n",
    "    \n",
    "    var = []\n",
    "    avg = []\n",
    "    err = []\n",
    "    err_sys = []\n",
    "    try:\n",
    "        for i, element in enumerate(x_sorted):\n",
    "            if i == 0: \n",
    "                i_begin = 0\n",
    "                prev_element = element\n",
    "\n",
    "            if element != prev_element or i == len(x_sorted)-1:\n",
    "            \n",
    "                i_end = i\n",
    "                if i == len(x_sorted)-1:\n",
    "                    i_end = i+1\n",
    "                    if x_sorted[i_begin] != x_sorted[i_end-1]:\n",
    "                        var.append(x_sorted[-2])\n",
    "                        avg.append(y_sorted[-2])\n",
    "\n",
    "                        var.append(x_sorted[-1])\n",
    "                        avg.append(y_sorted[-1])\n",
    "\n",
    "                        break\n",
    "\n",
    "                arr = y_sorted[i_begin:i_end]\n",
    "                if x_sorted[i_begin] != x_sorted[i_end-1] and i != (len(x_sorted)-1):\n",
    "                    print(\" ======== exception ========== \")\n",
    "                    raise Exception()\n",
    "\n",
    "                variable = x_sorted[i_begin]\n",
    "                var.append(variable)\n",
    "                avg.append(np.mean(arr))\n",
    "                \n",
    "#                 if flgerr == 'stdev':\n",
    "#                     e = np.std(arr)\n",
    "#                 else:\n",
    "#                     ## this is standard error\n",
    "#                     e = np.std(arr)/np.sqrt(len(arr))      \n",
    "                \n",
    "                e = np.std(arr)/np.sqrt(len(arr))      \n",
    "                err.append(e)    \n",
    "                \n",
    "                \n",
    "                i_begin = i\n",
    "            prev_element = element\n",
    "            \n",
    "    except Exception:\n",
    "        print(\" --- something went wrong ----\")\n",
    "    \n",
    "    out = np.array([np.array(var), np.array(avg), np.array(e)])\n",
    "    return out"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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